知识热榜

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百度 · 小说

8小时前更新
  • 0110.4万
    牧神记
    大墟的祖训说，天黑，别出门。大墟残老村的老弱病残们从江边捡到了一个婴儿，取名秦牧，含辛茹苦将他养大。这一天夜幕降临，黑暗笼罩大墟，秦牧走出了家门……做个春风中荡漾的反派吧！瞎子对他说。秦牧的反派之路，正在崛起！书友群：600290060，624672265，VIP群：663057414（有验证）普通群：424940671作者：宅猪, 类型：玄幻
  • 029.8万
    绍宋
    绍者，一曰继；二曰导。公元1127年，北宋灭亡。旋即，皇九子赵构在万众期待中于商丘登基，继承宋统，改元建炎。然而，三个月内，李纲罢相，陈东被杀，岳飞被驱逐出军，宗泽被遗弃东京，河北抗金布置被全面裁撤……经过这么多努力之后，满朝文武终于统一了思想，定下了拥护赵官家南下淮甸转扬州的辉煌抗金路线。不过刚一启程，在亳州明道宫参拜了道祖之后，这位赵官家便一头栽入了闻名天下的九龙井中，起来后就不认得自己心腹是谁了！朕要抗金！可朕的心腹都在何处？！这是一个来自于九百年后灵魂的真诚呐喊，他在无可奈何继承了大宋的名号后，更要将这个朝廷与天下导向一条新路。故称绍宋。作者：榴弹怕水, 类型：历史
  • 039.5万
    兰香缘
    她是首辅的孙女，家族卷入夺嫡风波获罪。 与新婚丈夫双双死在发配途中。 她带着记忆转世投胎，成为江南望族林家的家生丫鬟陈香兰。 这一生，香兰有四朵桃花。 一朵不能要， 一朵她不要， 一朵还没开好就谢了 还有一朵......唉，申请也请注明起点ID。作者：禾晏山, 类型：古代言情
  • 049.3万
    诡秘之主
    蒸汽与机械的浪潮中，谁能触及非凡？历史和黑暗的迷雾里，又是谁在耳语？我从诡秘中醒来，睁眼看见这个世界： 枪械，大炮，巨舰，飞空艇，差分机；魔药，占卜，诅咒，倒吊人，封印物……光明依旧照耀，神秘从未远离，这是一段“愚者”的传说。作者：爱潜水的乌贼, 类型：奇幻
  • 059.0万
    封总，太太想跟你离婚很久了
    结婚七年，封庭深待她冷漠如冰，容辞一直微笑面对。因为她深爱着他。也相信终有一天，她能将他的心焐热。可她等来的却是他对另一个女人的一见钟情，呵护备至。她依旧苦苦坚守他们的婚姻。直到她生日当天，千里迢迢飞国外找他和女儿，他却带着女儿去陪那个女人，丢她一个人独守空房。她终于彻底死心。看着亲手带大的女儿要别的女人做她妈妈，容辞也不再心疼。拟好离婚协议，放弃抚养权，她潇洒离去，从此对他们父女不闻不问，坐等离婚证办下来。放弃家庭，回归事业，昔日被所有人看不起的她轻易挣得过千亿的身家。然而她左等右等，离婚证没办下来不说，昔日不愿回家的男人回家次数却越来越频繁，对她也越粘越紧。得知她要离婚，向来矜贵冷漠的男人将她堵在墙角：“离婚？不可能的事。”作者：云中觅, 类型：现代言情
  • 068.8万
    太荒吞天诀
    十大仙帝之一，因得重宝吞天神鼎，遭围攻惨死；携神鼎重生归来，吞四海，容八荒…一代邪神，踏天血洗仙界！关注微信公众号搜索：《铁马飞桥》点击关注，不定时有剧情方面的更新！公布一个群号：224382518作者：铁马飞桥, 类型：玄幻
  • 078.3万
    极品家丁
    【本书阅读方法】参考《唐伯虎点秋香》！　　年轻的销售经理，因为一次意外经历，来到了一个完全不同的世界，成为萧家大宅里一名光荣的——家丁!　　暮晓春来迟　　先于百花知　　岁岁种桃树　　开在断肠时　　......　　《桃花诗》，属于三哥！作者：禹岩, 类型：历史
  • 087.7万
    凡人修仙传
    一个普通山村小子，偶然下进入到当地江湖小门派，成了一名记名弟子。他以这样身份，如何在门派中立足,如何以平庸的资质进入到修仙者的行列，从而笑傲三界之中！　　 诸位道友，忘语新书《大梦主》，经在起点中文网上传了，欢迎大家继续支持哦！作者：忘语, 类型：玄幻
  • 097.6万
    全家偷听我心声杀疯了,我负责吃奶
    【全家读心术+炮灰+团宠+大佬穿书+扮猪吃虎+爽文】陆朝朝穿书了。　　穿成出生被溺毙，还被女主顶替了身份的炮灰。女主大义灭亲，举报养母和外祖父通敌卖国，害的全家灭门。　　女主接回亲娘，和渣爹金蝉脱壳，和和美美过一生。　　只陆朝朝全家，皆为垫脚石。　　陆朝朝看着被PUA多年的娘亲【娘啊，你心爱的相公在等外室生孩子呢。】　　恋爱脑母亲清醒了！　　陆朝朝看着残疾大哥叹气：【大哥，你被人灌尿，钻胯，活脱脱美强惨啊！好在，你这腿我能治！】　　转头，大哥连中三元，将满京才子踩在脚下。　　【二哥啊，你所信非人。你的挚友，乃渣爹的外室子！】　　【三哥啊，你被人刻意养废，不学无术，好赌成性，最后做成了人彘呢。】　　陆朝朝吐槽着，发现全家逆天改命了。　　渣男被休，三个哥哥成了人中龙凤！　　连叼着奶瓶的她，都被全天下追捧！作者：夏声声, 类型：古代言情
  • 107.0万
    九星霸体诀
    是丹帝重生？是融合灵魂？被盗走灵根、灵血、灵骨的三无少年——龙尘，凭借着记忆中的炼丹神术，修行神秘功法九星霸体诀，拨开重重迷雾，解开惊天之局。 手掌天地乾坤，脚踏日月星辰，勾搭各色美女，镇压恶鬼邪神。 江湖传闻：龙尘一到，地吼天啸。龙尘一出，鬼泣神哭。作者：平凡魔术师, 类型：玄幻
  • 116.4万
    修罗武神
    论潜力，不算天才，可玄功武技，皆可无师自通。 论实力，任凭你有万千至宝，但定不敌我界灵大军。 我是谁？天下众生视我为修罗，却不知，我以修罗成武神。作者：善良的蜜蜂, 类型：玄幻
  • 125.9万
    吞噬星空
    继《九鼎记》《盘龙》《星辰变》《寸芒》《星峰传说》后，番茄的第六本书！——————简介：星空中。“这颗星球，通体土黄色，没有任何生命存在，咦，竟然蕴含‘星泪金’矿脉，真是天助我也，将这颗星球吞噬掉后，我的实力应该能恢复到受伤前的80％。”脸色苍白的罗峰盘膝坐在一颗飞行的陨石上，遥看远处的一颗无生命存在的行星。——————番茄第六部小说《吞噬星空》，将为大家展现出一个浩瀚广阔、神秘莫测的未来世界。。作者：我吃西红柿, 类型：科幻
  • 135.6万
    沧元图
    番茄的第十本小说。————我叫孟川，今年十五岁，是东宁府“镜湖道院”的当代大师兄。作者：我吃西红柿, 类型：玄幻
  • 144.7万
    桃花马上请长缨
    她侍奉公婆，以自己的嫁妆补贴将军府，却换来他以一身战功求娶女将军为平妻。战北望讥讽：宋惜惜，你可知你的锦衣玉食珠光宝气，全靠本将军和易昉抵御蛮敌浴血奋战得来的？你永远都成为不了易昉那样飒爽威风的女将，你只懂得弄青巧，再与一堆夫人交流内宅阴损手段。宋惜惜转身离开，策马上了战场，她本是将门之后，只不过为你战北望洗手做羹汤，不代表她拿不起长枪了。作者：六月, 类型：古代言情
  • 154.5万
    绝世神尊
    【全网超火爆的网络小说】掌劈天宫镇日月，剑斩幽冥踏九霄，世间凡人万万亿，修罗成神我最狂！本天之骄子，被小人陷害，惨遭家族遗弃。落入凡界后，天赋觉醒，我楚枫，誓要杀回九天之上，夺回属于我的一切！众生视我如修罗，却不知，我以修罗成武神！作者：无风胜有风, 类型：玄幻
  • 164.3万
    镇国神婿
    华夏第一家族少主，天下第一奇门传人楚尘，学成下山途中，意外封印了自己的双魂五魄，当了五年的傻子上门女婿。作者：梁少, 类型：都市
  • 174.2万
    藏于昼夜
    众所皆知张贺年风光霁月，高不可攀。 只有秦棠知道，他正经严肃的表象下有多疯狂。 不顾禁忌那条界限，强势蛮横将她占据。 哪怕万劫不复。 后来，她情难自拔沉溺与他的每个昼夜。 　 【年纪差+双洁】作者：蓝掉, 类型：现代言情
  • 184.1万
    儒道至圣
    这是一个读书人掌握天地之力的世界。　　才气在身，诗可杀敌，词能灭军，文章安天下。　　秀才提笔，纸上谈兵；举人杀敌，出口成章；进士一怒，唇枪舌剑。　　圣人驾临，口诛笔伐，可诛人，可判天子无道，以一敌国。　　此时，圣院把持文位，国君掌官位，十国相争，蛮族虎视，群妖作乱。　　此时，无唐诗大兴，无宋词鼎盛，无创新文章，百年无新圣。　　一个默默无闻的寒门子弟，被人砸破头后，挟传世诗词，书惊圣文章，踏上至圣之路。　　感谢阅文官方书评团提供书评支持！作者：永恒之火, 类型：玄幻
  • 194.1万
    重生之将门毒后
    将门嫡女，贞静柔婉，痴恋定王，自奔为眷。六年辅佐，终成母仪天下。陪他打江山，兴国土，涉险成为他国人质，五年归来，后宫已无容身之所。他怀中的美人笑容明艳：“姐姐，江山定了，你也该退了。”女儿惨死，太子被废。沈家满门忠烈，无一幸免。一朝倾覆，子丧族亡！沈妙怎么也没想到，患难夫妻，相互扶持，不过是一场逢场作戏的笑话！他道：“看在你跟了朕二十年，赐你全尸，谢恩吧。”三尺白绫下，沈妙立下毒誓：是日何时丧，予与汝皆亡！重生回十四岁那年，悲剧未生，亲人还在，她还是那个温柔雅静的将门嫡女。极品亲戚包藏祸心，堂姐堂妹恶毒无情，新进姨娘虎视眈眈，还有渣男意欲故技重来？家族要护，大仇要报，江山帝位，也要分一杯羹。这辈子，且看谁斗得过谁！但是那谢家小侯爷，提枪打马过的桀骜少年，偏立在她墙头傲然：“颠个皇权罢了，记住，天下归你，你——归我！”——归你。——漠北定元城。——归你。——江南豫州，定西东海，临安青湖，洛阳古城。——都归你。——全都归我，谢景行你要什么？——嗯，你。沈家丫头突然示好，不怀好意！”后来他冷静道：“都是一条绳上的蚂蚱，沈妙你安分点，有本候担着，谁敢逼你嫁人？”再后来他傲娇道：“颠个乾坤不过如此。沈娇娇，万里江山，你我二人瓜分如何？”最后，他霸气的把手一挥：“媳妇，分来分去甚麻烦，不分了！全归你，你归我！”沈妙：“给本宫滚出去！”霸气重生的皇后凉凉和不良少年谢小候爷，男女主身心干净，强强联手，宠文一对一。请各位小天使多多支持哦~作者：千山茶客, 类型：古代言情
  • 203.9万
    青山
    少时光阴长，泼酒翻红巷。权为砖墙利为瓦，宾朋倚满帐。醒来恨日短，大梦二十转。忽觉同行常八九，真心无二三。噫吁兮，听雪孤舟上，坐看天地远。作者：会说话的肘子, 类型：玄幻
  • 213.3万
    绝世武神
    九霄大陆，武道为尊，弱者庸碌，受人欺凌，强者一怒，血流成河。作者：净无痕, 类型：玄幻
  • 223.3万
    独步成仙
    一段凡人的成仙史一段仙界囚龙的秘辛陆小天最初的追求不过是踏上永生的仙道， 但披荆斩棘得偿所愿之后， 却发现仙远远不是尽头作者：搞个锤子, 类型：玄幻
  • 233.3万
    盖世神医
    任你权势滔天，任你富可敌国，在我面前不要嚣张。我是叶秋，能救你的命，也能要你的命！作者：狐颜乱语, 类型：都市
  • 243.3万
    伏天氏
    东方神州，有人皇立道统，有圣贤宗门传道，有诸侯雄踞一方王国，诸强林立，神州动乱千万载，值此之时，一代天骄叶青帝及东凰大帝横空出世，东方神州一统！ 然，叶青帝忽然暴毙，世间雕像尽皆被毁，于世间除名，沦为禁忌；从此神州唯东凰大帝独尊！ 十五年后，东海青州城，一名为叶伏天的少年，开启了他的传奇之路…作者：净无痕, 类型：玄幻
  • 253.3万
    斗罗大陆3龙王传说
    伴随着魂导科技的进步，斗罗大陆上的人类征服了海洋，又发现了两片大陆。魂兽也随着人类魂师的猎杀无度走向灭亡，沉睡无数年的魂兽之王在星斗大森林最后的净土苏醒，它要带领仅存的族人，向人类复仇！　　唐舞麟立志要成为一名强大的魂师，可当武魂觉醒时，苏醒的，却是……　　旷世之才，龙王之争，我们的龙王传说，将由此开始。作者：唐家三少, 类型：玄幻
  • 263.2万
    武道大帝
    少年罗修出身卑微，天赋一般，却意外融合生死法则本源所化至宝，从此身藏诸天生死轮，执掌轮回，开创无上神通，成就一代大帝，傲视古今！作者：忘情至尊, 类型：玄幻
  • 273.2万
    修罗天帝
    八年前，雷霆古城一夜惊变，少城主秦命押入青云宗为仆，二十万民众赶进大青山为奴。八年后，淬灵入武，修罗觉醒，不屈少年逆天崛起。给我一柄刀，可破苍穹，给我一柄剑，可指霄汉。金麟岂是池中物，一遇风云便化龙。当修罗子、不死王、雷霆战尊、古海蛮皇等等一个个封号落在秦命身上，这个一身傲骨的少年踏天而行，带领一众挚友红颜，傲战八荒，横扫六合，谱写一曲可歌可泣的热血战歌。作者：实验小白鼠, 类型：玄幻
  • 283.2万
    明末边军一小兵
    崇祯七年三月，山西陕西大旱，赤地千里，民大饥。四月，李自成入河南，与张献忠合兵攻取澄城。七月，后金军进围宣府，兵掠大同，沿边城堡多失守。　　大明内忧外患，风雨飘摇！　　这年的七月，王斗意外来到大明，成为宣府镇保安州舜乡堡一普通小兵…作者：老白牛, 类型：历史
  • 293.2万
    1987我的年代
    重活一次，书要好好读，钱要好好挣，生活要慢慢过。作者：三月麻竹, 类型：都市
  • 303.2万
    公府娇媳
    【缺爱娇贵嘴硬心软千金*成熟稳重直爽腹黑小公爷】谢知筠出身名门，千金之躯。一朝联姻，她嫁给了肃国公府的小公爷卫戟。卫戟出身草芥，但剑眉星目，俊若繁星，又战功赫赫，是一时的佳婿之选。然而，谢知筠嫌弃卫戟经沙场，如刀戟冷酷，从床闱到日常都毫不体贴。卫戟觉得她那娇矜样子特别有趣，故意逗她：“把琅嬛第一美人娶回家，不能碰，难道还要供着？”“……滚出去！”谢知筠做了一场梦。梦里，这个只会气她的男人死了，再没人替她，替百姓遮风挡雨。醒来以后，看着身边的高大男人，谢知筠难得没有生气。只是想要挽救卫戟的性命，似乎只能依靠一场又一场的欢喜事。她恨得牙痒，张嘴咬了卫戟一口，决定抗争一把。“狗男人……再这样，我就休夫！”作者：浅春山, 类型：古代言情
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    美方称中美「贸易休战」延长至明年 1 月，这对世界局势有何影响？
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    直播吧09月25日讯 亚运会田径项目，男子100米半决赛第一组，20岁的泰国选手汶颂跑出9秒91，打破了苏炳添此前保持的9秒92亚运会纪录。而亚洲纪录目前还是由苏炳添保持的9秒83。 同组的中国选手曾克理10秒24排名小组第三，凭借小q拿到决赛席位。第二组的谢震业排跑出10秒18，小组第二大Q身份直接晋级决赛。 破苏炳添亚运纪录！男子100米半决赛：20岁泰国选手汶颂跑出9秒91-直播吧手机版破苏炳添亚运纪录！男子100米半决赛：20岁泰国选手汶颂跑出9秒91-直播吧手机版
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    9月26日，对外经济贸易大学官网发布讣告《沉痛悼念我国著名音乐家刘欢老师》。 讣 告 | 沉痛悼念我国著名音乐家刘欢老师-对外经济贸易大学新闻网
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    亚运会乒乓球男团决赛，中国队2-3不敌日本队无缘金牌，赛后独得两分的张本智和接受了采访。 张本智和表示：“当然赢了很高兴，但说到底，最让我激动的是日本真的超越了中国拿到了这枚金牌。这一刻我等了10年、甚至10年以上，终于到来，真的开心到不行。 “我就觉得只要交给松岛，就能赢。我心里把它当成‘我和王楚钦的单打决赛’，之后还有松岛辉空对温瑞博的决赛。我们就是按‘两场单打’去打的，我也跟他说‘你上就行’，结果真成了。” 松岛辉空则表示：“第一场我2比0领先后有点松懈，那种感觉很懊恼。最后总算赢下来，太好了。张本哥跟我说‘我赢，你等着就行’，我就只做好了赢的准备。” 张本智和称等待10年，日本男团亚运夺金|松岛辉空|王楚钦|亚运会|温瑞博|金牌_新浪新闻张本智和称等待10年，日本男团亚运夺金
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  • 2359.0万
    2 岁女童站「独立洗澡神器」上被父母独留浴室，误触 70℃ 热水致重度烫伤，如何避免此类悲剧？
    “妈妈，我痛死了，我医不好了，我们回去吧。”很难想象，这样一句令人心酸的话出自一名2岁多小女孩之口。 近日，福建漳州一医院烧伤整形科收治了一名被重度烫伤的2岁多女童。据悉，该名女童洗澡时，站在“独立洗澡神器”上，被父母短暂单独留置浴室。其间，女孩因好奇误触水龙头，将水温调至70℃左右，被高温热水持续淋烫约两分钟，造成全身多部位大面积重度烫伤。 入院时，女童创面损伤严重，躯干、四肢、臀部等多部位烫伤，因剧烈创伤及大量体液渗出，入院即出现休克状态，病情危重。医护团队立即启动紧急救治流程，全力开展抢救工作。目前女童已脱离危险，病情基本稳定。 记者在网上搜索 “幼童独立洗澡神器” 发现这样的产品销量还不低 但本次意外主要因幼儿被独自留置浴室导致悲剧发生，对此，烧伤整形科医生提醒： 幼儿好奇心强、自我防护能力不够，浴室属于居家高风险区域，存在高温热水、湿滑地面、电器设备复杂等多重安全隐患。任何短暂离开、心存侥幸的监护空档，都可能造成不可逆的严重伤害。 1、洗澡全程应寸步不离婴幼儿，洗浴全过程必须专人贴身看护，严禁将孩子单独留在浴室。如需临时离开，须将孩子一同带离，杜绝无人看管情况。 2、严控家庭热水温度，建议家庭热水器最高水温设置为48℃以下。水温超过50℃即可快速造成儿童烫伤，70℃热水可瞬间造成深度烫伤。 3、强化居家安全防护，做好水龙头安全防护、浴室防滑措施，日常加强儿童安全教育，禁止幼儿私自触碰、玩耍热水开关。 不少网友认为 家长不该让那么小的孩子 离开自己的视线 科技只能作为辅助 洗澡全程应寸步不离婴幼儿 https://www.jfdaily.com/staticsg/res/html/web/newsDetail.html?id=1179893
  • 2459.0万
    有哪些东西是AI完全没可能替代的？
    这些东西将被即将到来的AI时代无限放大，成为人类存在的价值核心。
  • 2559.0万
    为什么月饼卖不动了，大家都不喜欢吃了吗？
  • 2659.0万
    为什么「西游记」里的太上老君没有「封神演义」里的太上老君地位高？
  • 2759.0万
    除了繁衍的自然本能，不同动物间会存在友情吗？
  • 2859.0万
    当你对孩子说教的时候，孩子说“你别说了”，你会闭嘴吗？
    我会，虽然有时候气得要死，忍得辛苦，但还是转过身不说了。你们呢？
  • 2959.0万
    现在的孩子要什么有什么，为啥眼里没了光？
    作为80后我们小时候物质匮乏，却总能为一点小事开心，眼里有光。现在的孩子衣食无忧，想要的东西基本都能满足，可很多孩子眼里无光，对什么都提不起兴致，这是什么原因？
  • 3059.0万
    为啥粽子有南北甜咸之争，月饼在甜咸上却没有很明显的南北差异？
    感觉月饼都是甜口为主，哪怕是火腿月饼也有一点咸甜口的底味。广东和江苏都算是南方，但是广东是吃莲蓉的甜口，江苏吃的却是鲜肉的咸口的。为啥粽子就有那么大的地域口味差异，月饼就没有出现这么大的差别？
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arXiv · cs.AI

30分钟前更新
  • 01
    When Should Forecasting Agents Reason? Behavioral Stress Tests for Reliability Routing
    arXiv:2609.28475v1 Announce Type: new Abstract: Forecasting agents increasingly combine language-model reasoning, retrieval, ensembling, and calibration, but it remains unclear when each behavior should be trusted. We study this question on ForecastBench-style binary forecasting tasks, treating the choice to retrieve, reason, defer to a market prior, or use a historical analog as an observable agent behavior rather than a hidden implementation detail. Our central finding is that mechanism choiceYufeng Wang
  • 02
    TW3Cast: A Frozen Router of Lightly Fine-Tuned Foundation Models for Time-Series Forecasting on GIFT-Eval, Selected Entirely on the Training Split
    arXiv:2609.28506v1 Announce Type: new Abstract: TW3Cast is a time-series forecasting system that reaches position 3 of 130 entries on the GIFT-Eval benchmark by mean MASE rank, as of 2026-09-14. The two entries above it belong to the leaderboard's agentic category, multi-step systems that use agents or language models to reason about, generate or select forecasts. TW3Cast runs no agent and no language model. Its selection is a table computed once on the training split and then frozen, and its exNathan Thierry, Andre-Louis Rochet
  • 03
    PAWS: Policy-driven Agentic World Simulation
    arXiv:2609.28547v1 Announce Type: new Abstract: Policy interventions propagate through public communication, institutional decisions, and stakeholder responses, yet datasets for financial multi-agent simulation rarely connect these processes to temporally aligned historical evidence. We introduce PAWS, a Policy-driven Agentic World Simulation dataset covering 36 verified U.S. financial and economic policy episodes, 12,727 policy-linked news records, and 65,291 source-grounded stakeholder actionsTiviatis Sim, Jia Hui Woon, Xinming Gao, Chen Gao, Fengbin Zhu, Zheng Huanhuan, Chua Tat Seng, Kenji Kawaguchi
  • 04
    Pistis Technical Report
    arXiv:2609.28554v1 Announce Type: new Abstract: We introduce the Pistis model family, comprising 27B- and 9B-parameter multimodal large language models built on Qwen3.6 and Qwen3.5, respectively, and developed through a general and scalable post-training framework. The framework first establishes a strong foundation through large-scale multimodal supervised fine-tuning (SFT). Building on this SFT foundation, we propose Interleaved Distillation and Reinforcement Learning (IDRL), a novel post-traiHeyun Chen, Xiaohan Lan, Jiaxi Li, Zhilin Lu, Qi She, Weiwen Xu, Fei Yu, Yujie Zhong, Jinghuan Chen, Zijian Feng, Siyu Jiao, Yiheng Lin, Xinhao Wang, Sihan Yang, Jieyu You, Changbin Zhang, Hengyu Zhang, Xudong Zhang, Yunqing Zhao, Shuai Zheng
  • 05
    BaseCamp --- An Agentic AI Framework for Automating DNA Sequencing Data Pipelines
    arXiv:2609.28557v1 Announce Type: new Abstract: DNA sequencing pipelines, spanning quality control, alignment, variant calling, and annotation, are now reliably executed by workflow management systems that orchestrate established bioinformatics tools at scale. What remains manual is the decision layer surrounding that execution: selecting quality thresholds appropriate to a sample and platform, adjudicating borderline variant calls, diagnosing anomalies, and determining which findings warrant exEranga Bandara, Xueping Liang, Asanga Gunaratna, Tharaka Hewa, Abdul Rahman, Peter Foytik, Safdar H. Bouk, Sachini Rajapakse, Isurunima Kularathna, Pramoda Karunarathna, Chalani Rajapakse, Ng Wee Keong, Kasun De Zoysa, Amin Hass, Wathsala Herath, Ross Gore, Ravi Mukkamala, Nihal Siriwardanagea, Gihan Siriwardanagea, Aruna Withanage, Nilaan Loganathan, Sachin Shetty
  • 06
    DEEPO: Dual-Entropy Enhanced Policy Optimization for Hallucination in MLLMs
    arXiv:2609.28570v1 Announce Type: new Abstract: Reinforcement learning (RL) is widely used to sharpen reasoning in multimodal large language models (MLLMs), yet its effect on hallucination is uneven. We trace this to two weak points in the \emph{correction chain} from reward to parameter update. At the rollout level, hard queries---those with high semantic entropy---frequently produce unanimously wrong sample groups, collapsing the group-relative advantage to zero exactly where hallucination risYingxuan Zhuang, Miao Pan, Wangjie Gan, Jingxiao Yang, Fan Wang, Weiming Liu, Cheng Tan, Xuhong Zhang, Jintao Chen
  • 07
    TWIST: A Proposed Benchmark for Intervention Quality in Conversational Memory, with a Human-Validated Draft-Alignment
    arXiv:2609.28575v1 Announce Type: new Abstract: Long-conversation memory benchmarks increasingly test recall and prompted knowledge updates, and recent work studies evolving user beliefs and memory state. TWIST is a proposed benchmark suite for a complementary, unmeasured property: intervention quality -- whether a deployed memory system, exercised through its own ingest/recall/vet surface, acts correctly at belief change points. Four tracks cover unprompted tension detection, vetting outgoing dSubrat Panda
  • 08
    Adversarial Closed-Loop Curriculum for Evolving Role-Playing Agents
    arXiv:2609.28609v1 Announce Type: new Abstract: Role-playing agents based on large language models have been widely applied in areas such as personalized assistance and social simulation. Recent RL methods typically train on a fixed scenario pool collected before learning begins. This creates a distributional bottleneck: as the agent improves, the scenarios where it performs poorly also change, while the training distribution remains static. Therefore, we propose AdvRole, an adversarial contextZheng Zhang, Liu Liu, Qi Chai, Deheng Ye, Peilin Zhao, Mao Zheng, Hao Wang
  • 09
    Training Object Permanence in World Models
    arXiv:2609.28654v1 Announce Type: new Abstract: Object permanence and solidity are hallmarks of human cognitive priors. Recent studies show that video generation models, a paradigmatic class of current world models, have begun to show emerged reasoning abilities, making them ideal candidates for building human-like physical intelligence. Do video models have emerged object permanence in them? If not, could we train them with a core-cognition inspired dataset? We introduce WROP (World Reasoning wHaotian Zhang, Fengyuan Yu, Dezhi Luo, Haoran Sun, Zehong Zhao, Qingying Gao, Yihan Li, Siyuan An, Huayi Qin, Yilan Zhang, Zhengze Jiang, Pinyuan Feng, Renrui Zhang, Ziyu Guo, Letian Wang, Mengyue Yang, Kangfu Mei, Maijunxian Wang, Ran Ji, Vikash Kumar, Freda Shi, Chandra Sripada, Vincent C. Muller, Philip Torr, Alan Yuille, Nikolaus Kriegeskorte, Felix Juefei-Xu, Lvmin Zhang, Jieneng Chen, Yilun Du, Hokin Deng
  • 10
    Beyond Surface Style: Aligning Multi-Turn User Simulators with Behavioral Consistency
    arXiv:2609.28690v1 Announce Type: new Abstract: Faithful user simulation is fundamental to building, evaluating, and improving interactive AI at scale. However, plausible individual responses do not ensure that simulated users reproduce the intent evolution and outcomes observed in real interactions. We propose TRACER, a multi-turn user simulator that explicitly models users' evolving intent and learns to align simulated behavior with real interaction trajectories. TRACER is trained in two stageGeng Chen, Ruotong Pan, Zhirui Yang, Qiqi He, Jiawei Chen, Zhang Yunfei, Chongyuan Chen, Minxuan Lv, Zheng Yang, Win-Bin Huang, Xiangyu Wu, Wenwu Ou
  • 11
    Driving Epidemic Models with AI Agents: the Epydemix Agent Framework
    arXiv:2609.28692v1 Announce Type: new Abstract: Artificial Intelligence agents based on large language models provide convenient natural language interfaces to scientific software, but reliability is not automatic. Here we introduce the Epydemix Agent Framework, an additive layer over Epydemix, an open-source Python library for stochastic compartmental epidemic modeling. The framework extends the library with four capabilities to facilitate interaction with an AI agent: discovery of available moNicol\`o Gozzi, Ciro Cattuto, Alessandro Vespignani
  • 12
    Progressive Skill Discovery as Access Control for Tool-Using LLM Agents: Structural Governance through Role-Scoped Capability Delivery
    arXiv:2609.28693v1 Announce Type: new Abstract: Large Language Model (LLM) agents struggle to scale safely when exposed to vast enterprise toolsets. Providing an agent with access to every internal tool leads to oversized context windows, degraded tool selection, and severe governance vulnerabilities - as system policies defined purely in prompts remain probabilistic advice rather than hard constraints. Existing mitigations, such as multi-agent domain delegation, decentralize audit logs and failMichael Stettler, Benjamin Girardet, Jonas Canton, Nicolas Corod
  • 13
    Reinforcement Learning with Verifiable Rewards for Small Search Agents
    arXiv:2609.28765v1 Announce Type: new Abstract: Reinforcement Learning with Verifiable Rewards (RLVR) performs well on problems with clear rewards, such as mathematics and coding, but whether it also works where the reward is less clear remains open. The reason-over-search recipe applies RLVR to open-domain question answering, where retrieval grounds the answer and a match against the reference supplies the reward. So far it has been demonstrated on large models, and below one billion parametersGaurisankar Jayadas, Aske Plaat, \'Alvaro Serra-G\'omez, Sandheep P
  • 14
    Agent Memory with Episodic Retrieval for Financial Decision-Making
    arXiv:2609.28771v1 Announce Type: new Abstract: Large language models (LLMs) have demonstrated strong capabilities in financial analysis and reasoning, inspiring recent advances in agent-based trading frameworks. While these systems show promise, prior approaches either emphasize long-horizon forecasting or operate as stateless analyzers, limiting their applicability to the demands of trading in complicated settings. To address these gaps, we introduce META (Memory Enhanced Trading Agent), the fNuoyue Xu, Jiang Liu, Wenxuan Huang, Xiang Zhang, Juntai Cao, Jiaqi Wei
  • 15
    Learned Cross-Task Relationships in Multi-Task Models
    arXiv:2609.28776v1 Announce Type: new Abstract: We propose a framework that learns cross-task relationships in multi-task models by approximating the joint distribution of task labels through targeted pairwise relationships. This approach improves performance via transfer learning and enhances information extraction without the intractable complexity of modeling the full joint space. Although our framework applies to any multi-task system, we demonstrate its efficacy within YouTube's productionVictor Zhang, Yiping Yuan, Florian Raudies, Bosun Adeoti, Brian Y. C. Leung, Sanjay Surendranath Girija, Naijing Zhang
  • 16
    RECLAIM: Can Agents Reproduce the Claims of Machine Learning Papers?
    arXiv:2609.28850v1 Announce Type: new Abstract: Reproducing a machine learning paper involves most research steps, from installing software and debugging to running experiments, work that AI agents increasingly do. We introduce RECLAIM, a benchmark of 100 NeurIPS 2025 papers that can be rebuilt yearly from new conferences. For each paper we fix in advance the result to reproduce, what counts as a successful reproduction, and a GPU-hour budget. An agent must reproduce that result using the paperMithil Salunkhe, Haochen Ding, Samridhi Verma, Volodymyr Kindratenko
  • 17
    Human-AI-Powered Hypothesis Testing: Cost-Aware Selective AI Scoring and Sequential Human Escalation
    arXiv:2609.28859v1 Announce Type: new Abstract: Large language models are increasingly used as inexpensive judges to evaluate outputs, label data, and assess whether a system meets a desired quality standard. Yet using AI judgments for formal statistical inference is fundamentally different from simply treating them as ground-truth labels: AI evaluations can be biased or noisy, and rigorous hypothesis testing requires explicit control of type-I and type-II errors. We study how to use AI judgmentDae Woong (David), Ham, Xuejun Zhao, Stefanus Jasin, Fenghua Yang
  • 18
    Forecast-Dojo: Replayable Environments for Benchmarking and Training LLM Forecasting Agents
    arXiv:2609.28876v1 Announce Type: new Abstract: We introduce Forecast-Dojo, a replayable environment for benchmarking and training LLM forecasting agents. It combines resolved prediction-market questions with dated news, allowing agents to research an event and revisit their predictions at successive historical dates. The same tasks and tools support repeated evaluation, collection of training interactions, and feedback from recorded outcomes without waiting for new events to resolve. Forecast-DLiqin Ye, Haorui Wang, Fardin Ahmed, Rongzhi Zhang, Yuan He, Ziyuan Lin, Yanbin Yin, Jing Peng, Michael Galarnyk, Sudheer Chava, Chao Zhang
  • 19
    Control the Harness, Control the Cost: Routing and Governing AI Coding Agents in the Enterprise
    arXiv:2609.28919v1 Announce Type: new Abstract: Harnesses, the products that run AI coding agents, are multiplying, and enterprises are rolling them out to their employees: what started as pilots with a few hundred seats is scaling to tens of thousands. Most enterprises do not build these harnesses but buy them from large vendors, such as Anthropic's Claude Code or OpenAI's Codex. A harness decides which model answers, what the model reads, how the prompt cache is used and which subagents run, sArian Abbasi, Alan Aqrawi, Ted Kwartler
  • 20
    PFArena: Benchmarking Language Models for Protein Modification
    arXiv:2609.28921v1 Announce Type: new Abstract: Protein modification requires navigating an immense sequence space, yet wet-lab validation remains low-throughput and costly. Although computational paradigms including protein language models (PLMs), large language models (LLMs), and LLM-based agents have shown promise in protein modification, their relative efficacy across realistic experimental decision-making settings remains unclear. To bridge this gap, we introduce PFArena, a benchmark compriYawen Ouyang, Xinbo Zhang, Ziyuan Ma, Yixin Wu, Wenbin Liao, Feiran Zhang, Wenjie Li, Lihao Wang, Hao Wang, Xiaoqing Zheng, Xuefeng Yan, Lei Bai, Ya-Qin Zhang, Shuyi Zhang, Wei-Ying Ma, Dahua Lin, Bowen Zhou, Hao Zhou
  • 21
    From Static Personal Values to Contextualized Personalization: Bayesian Personalized Value Alignment for LLMs
    arXiv:2609.28942v1 Announce Type: new Abstract: Personalized value alignment has become increasingly important as large language models (LLMs) are expected to accommodate diverse user preferences. However, existing methods typically align model outputs with a static value profile across prompts, overlooking that the salience of value dimensions varies substantially across contexts. Inspired by Lewin's Field Theory, which views human behavior as jointly shaped by personal dispositions and situatiHanze Guo, Aixuan Song, Jing Yao, Xiangxu Zhang, Xiaoyuan Yi, Xing Xie, Xiao Zhou
  • 22
    Back to the Definition: Estimating Step-Level Advantages via Trajectory Graphs for Agentic Reinforcement Learning
    arXiv:2609.28963v1 Announce Type: new Abstract: Group-based reinforcement learning (RL) methods, such as GRPO and its variants, have become a leading paradigm for training reasoning and agentic large language models (LLMs). While their group-normalized advantage estimation is reliable at the response level, it becomes systematically biased at the step level, since coarse-grained trajectory-level advantages are hard to accurately reflect the contribution of individual steps (i.e, failed trajectorXincheng Yao, Haobo Fu, Weiming Liu, Chongyang Zhang
  • 23
    When Does Action Credit Need Updating?
    arXiv:2609.29007v1 Announce Type: new Abstract: Tool-using agents are continually updated with new interaction data. After each policy update, however, previously estimated action credits may become stale. Recomputing them from scratch can require many additional tool calls and environment interactions, making repeated updates increasingly expensive. We ask a simple question: when does historical action credit actually need to be updated? Our key observation is that a change in action value doesHongye Yang, Boxiao Huang
  • 24
    AlphaDiverse: Post-Training Local Quantitative Research Agents for Diverse Exploration in Alpha Factor Mining
    arXiv:2609.29014v1 Announce Type: new Abstract: Large language model (LLM)-based multi-agent systems can automate alpha factor mining, but their reliance on external APIs limits control over cost, availability, and confidentiality. Long research loops also tend to revisit a few successful economic mechanisms that lead to research path collapse. To address these limitations, we propose AlphaDiverse, a framework that integrates a multi-agent alpha research system, diverse research path collection,Qingzhuo Wang, Zikun Wei, Zhihua Wei, Wen Shen
  • 25
    MeshHeal: Two-Timescale Self-Healing for Gray Failures in Decentralized LLM Agent Networks
    arXiv:2609.29015v1 Announce Type: new Abstract: Decentralized LLM-based multi-agent systems coordinate through local interactions, but an agent can remain responsive while its task-solving quality persistently degrades. Such gray failures require protecting current tasks before sufficient evidence exists to alter future routing, while still allowing recovered agents to rejoin. We introduce MeshHeal, a fully decentralized self-healing framework that couples ability-matched peer review across twoKeru Chen, Sen Lin, Yingbin Liang, Nathaniel D. Bastian, Shaofeng Zou
  • 26
    SLCA-GRPO: Resolving Cross-Segment Credit Misattribution in Tool-Calling RL
    arXiv:2609.29050v1 Announce Type: new Abstract: Tool-calling agents produce heterogeneous outputs, interleaving structured tool invocations with user-facing natural language summaries. This output heterogeneity presents a structural failure mode in standard on-policy Reinforcement Learning (RL): algorithms like GRPO indiscriminately broadcast a homogeneous trajectory-level scalar advantage to all tokens. Consequently, gradient noise from summary generation leaks into tool-decision tokens, causinYan Zhan, Shaobo Liu, Qiunan Liu, Yuanjun Shi, Siqi Xu, WeiYi Hou, Xiang Xu, Zekang Li, Weizhou Pan, Jiahong Yan
  • 27
    From Self-Distillation to Self-Practice: Privileged Information for Multi-Turn Agents
    arXiv:2609.29051v1 Announce Type: new Abstract: On-policy self-distillation (OPSD) has become a popular recipe for post-training LLM agents. It supervises the agent model at the token level with a stronger teacher view of the same model, obtained by conditioning on privileged information (PI). In this work, we show that in multi-turn agents, this paradigm teaches the student to act with confidence but without the information behind it. The trained agent behaves as if it had privileged informatioXingyu Su, Abhishek Kumar, Qing Ping, Youzhi Luo, Jonathan Buck, Zach Zhang, Subramanian Chidambaram, Vinayak Arannil
  • 28
    CRISS: A Retrieval-Augmented AI Chatbot for Assisting Cancer Registrars
    arXiv:2609.29075v1 Announce Type: new Abstract: Cancer registrars, including Oncology Data Specialists (ODSs), must interpret complex and frequently updated coding and staging standards. We developed CRISS (Cancer Registry Intelligent Support System), a retrieval-augmented generation (RAG) conversational assistant that provides rapid, citation-supported access to registry guidance. This study evaluated whether CRISS could (1) support accurate and citation-supported responses, (2) improve accessVani Seth, Mohammad Beheshti, Anirudh Kambhampati, Vishwa Bhayani, Lucinda Ham, Prasad Calyam, Iris Zachary
  • 29
    A Rapid Pipeline for Training and Deploying ML Models on WeBe Band
    arXiv:2609.29084v1 Announce Type: new Abstract: Developing optimized machine-learning algorithms for edge devices with limited computational and memory resources is challenging, time-consuming, and highly dependent on device-specific constraints. In this work, we streamline an edge ML workflow to enable rapid development, optimization, and deployment of machine-learning (ML) models directly on the WeBe Band, a wrist-worn wearable device designed for multimodal physiological data monitoring. TheEhsan Kourkchi, Asmita Asmita, Houman Homayoun, Mahdi Eslamimehr
  • 30
    Functional Architecture of European Electricity Trading Markets: Requirements for AI Supported Trading Systems under Regulatory Constraints
    arXiv:2609.29108v1 Announce Type: new Abstract: European electricity trading in the EU operates as a constrained multi-layer system in which legal design, exchange microstructure, and network physics are executed jointly across forward, day-ahead, intraday, and balancing horizons. This paper develops a functional architecture for AI-supported trading that is aligned with market-coupling mechanics, cross-zonal transfer constraints, and compliance obligations under REMIT, MiFID II, MiFIR, and EMIRWalter Kurz, Wojtek Stricker
  • 31
    CounterRoute: Self-Routed Reasoning via Hierarchical Counterfactual Credit Assignment
    arXiv:2609.29109v1 Announce Type: new Abstract: Reasoning-capable language models often produce long chains of thought when direct answers suffice, wasting inference compute. Many dual-mode models leave this choice to users. Automating it is challenging because routing targets evolve with the policy, initial mode preferences destabilize exploration, and sequence-level objectives entangle routing with response learning. We introduce CounterRoute, an online reinforcement-learning framework that joRuochen Jiao, Besnik Fetahu, Zhenyu Shi, Priyanka Nigam
  • 32
    Sharp Limits for Honest Uncertainty in Hard-Budget Repeated Evaluation
    arXiv:2609.29140v1 Announce Type: new Abstract: Repeated evaluation can estimate a benchmark score accurately while still requiring replication to certify narrow uncertainty. We characterize that requirement on a fixed grid of $M$ tasks with $L$ binary paths per task under the hard budget $(M+t)K$, where each path costs at most $K$ responses or episodes. For fixed $L \ge 3$ and $0 < \alpha \le 1/12$, the optimal expected width on the worst pure cohort is $\Theta_{\alpha,L}([M(t+1)]^{-1/2})$ whenYezhou Cheng, Runjia Du, Zeming Liu, Qibai Chen, Hang Lyu, Yilan Wei, Yankai Zeng, Bojun Lin
  • 33
    Scope Before You Persist: Preventing Cross-Family Interference in Agent Memory
    arXiv:2609.29144v1 Announce Type: new Abstract: Persistent memory lets language-model agents improve prompts and skills without updating model weights. We show that matching retrieval scope to certification scope enables these edits to support reliable repeated adaptation across recurring task families. We study frozen-model agents on ProcStream-RSI, a 12-round code-repair stream, using Orthogonal Regression Control (ORC), an execution-grounded gate for persistent skill edits. In an interventionYezhou Cheng, Runjia Du, Zeming Liu, Qibai Chen, Hang Lyu, Yankai Zeng, Yilan Wei, Bojun Lin
  • 34
    Claim-Gated Source-Risk Auditing for Generative Search
    arXiv:2609.29145v1 Announce Type: new Abstract: A generative search answer can cite a supported passage yet omit a source relationship that changes its interpretation. We specify a claim-gated audit of the query-source-answer tuple. An omission is resolved only when relationship evidence, answer adoption, materiality, and disclosure are all observed; incomplete evidence remains unresolved rather than being treated as independence. The specification separates this endpoint from citation support aKainan Zhou, Chuhong Xu, Gangzhen Qian, Zhaoyi Li
  • 35
    A Wrong Turn Does Not Ruin the Journey: Deviation-Guided Skill Self-Evolution for LLM Agents
    arXiv:2609.29154v1 Announce Type: new Abstract: Large language model agents increasingly rely on natural-language skills to solve complex tool-use tasks. However, such tasks often admit multiple valid solution paths, making it inappropriate to improve skills by forcing failed trajectories to match a fixed successful trajectory. Moreover, failed trajectories are rarely entirely wrong: an agent may first collect useful evidence and make meaningful progress, but later deviate into an erroneous suffYichun Feng, Jiawei Wang, Haozhe Sun
  • 36
    IndicBankBench: Evaluating Safety and Reliability of Language Model Assistants in Indian Retail Banking
    arXiv:2609.29167v1 Announce Type: new Abstract: Banking assistants must use account-specific information to answer requests and, in many cases, take actions through tools. Evaluating only the final response misses important errors. An assistant may ask for information it already has, rely on stale context, select the wrong account, or write an invalid value after stating the correct one. We introduce IndicBankBench, a 799-case benchmark for Indian retail banking spanning five operational domainsSuvradip Paul, Chandra Bhushan, Harsh Sharma, Nitin Kukreja, Yatharth Dedhia, Keyur Doshi, Prashant Devadiga
  • 37
    Right Choice of Classification Algorithms Based on Reinforcement Learning for Prediction of Non-Alcoholic Fatty Liver
    arXiv:2609.29181v1 Announce Type: new Abstract: There are many complex issues in the world of artificial intelligence. Some of these problems are solved using other artificial intelligence methods, which are called artificial intelligence for artificial intelligence. Finding an appropriate classifier algorithm is a time-consuming task. For this reason, an algorithm that can automatically learn the choice of classification algorithms is very important. Classification algorithms are useful in predHasan Samadbin, Arman Daliri
  • 38
    The Entropy Triangle Method (ETM): A novel framework for the prevention of cardiac arrhythmia with a review of more than 10,000 patients
    arXiv:2609.29187v1 Announce Type: new Abstract: One of the most important problems in medicine is to facilitate prediction. In this study, we propose entropy triangle method, a novel framework for predicting heart rhythms using a novel machine learning technique. This framework includes three steps: feature engineering, entropy triangle oversampling, and disease prediction. The dataset used in this study is a 12-lead electrocardiogram (ECG) arrhythmia research database with 10,646 patients. ThisArman daliri
  • 39
    When Honesty is Not Enough in AI Debate
    arXiv:2609.29189v1 Announce Type: new Abstract: Scalable oversight aims to verify the behaviour of agents whose capabilities exceed those of their overseers. AI debate has been proposed as an oversight solution in which competing agents help a resource-limited verifier assess claims that it cannot reliably evaluate unaided. Much of its promise rests on incentivizing honest arguments that lead to correct verdicts. Yet a correct verdict need not uniquely determine the arguments used to support it.Rayne Holland, Liming Zhu, Jason Xue
  • 40
    ASIRF: An Agentic Framework for Context-Dependent Sensitive Information Redaction
    arXiv:2609.29191v1 Announce Type: new Abstract: Sensitive information is defined by domain and intent, not a universal category, yet redaction systems such as privacy filters and named-entity recognizers fix a taxonomy at training time, requiring retraining for each new domain. We introduce ASIRF (Agentic Sensitive Information Redaction Framework), which retrieves domain-specific definitions based on the input's domain from a flexible knowledge base at inference time, needing no retraining to adSudha Priyadarshini, Mohamed Chahine Ghanem
  • 41
    Towards An LLM-Driven Unified Conversion Framework for BT and FSM in Autonomous Intelligent Systems
    arXiv:2609.29228v1 Announce Type: new Abstract: Finite state machine (FSM) and behavior trees (BT) are widely adopted behavioral modeling paradigms for autonomous intelligent systems. While functionally equivalent and inter-convertible in principle, existing transformation methods between FSM and BT face major challenges in preserving behavioral completeness and avoiding model complexity explosion. To overcome these issues, we propose an LLM-driven unified conversion framework that enables automZhang Qi, Yang Shuo, Zhu Zhengqiu, Zhou Peng, Jiao Peng
  • 42
    Policy as Code: A Coroutine-Bridge Harness for Fast-Reasoning Reliability on CAR-bench
    arXiv:2609.29251v1 Announce Type: new Abstract: CAR-bench evaluates whether tool-using agents stay reliable under real-world uncertainty, executing every tool inside the evaluator so that each tool-result exchange is a separate agent round-trip. A conventional next-action agent can batch parallel tool calls, but a chain of dependent calls costs it one model call per round of results. We present a coroutine-bridge harness in which the model's only action is to emit a Python program that blocks anIvan Matveev
  • 43
    Baszta: Data-Centric Fine-Tuning of a Polish Multi-Label Safety Classifier
    arXiv:2609.29266v1 Announce Type: new Abstract: We develop a multi-label Polish content-safety classifier by fine-tuning allegro/herbert-base-cased (124M) across five categories (hate, vulgarity, sexual content, crime, self-harm) using a Focal + R-Drop objective, and evaluate the resulting model against Bielik Guard (S\'ojka) on the shared out-of-distribution Gadzi J\k{e}zyk benchmark. Both systems are given per-category threshold tuning on the same calibration split. Under that matched protocolAdam G\'orski, Mateusz J\k{a}kalak, Rafa{\l} Jakubowski
  • 44
    ALOE: Semantically Addressed Low-Rank Operators for Knowledge Editing
    arXiv:2609.29269v1 Announce Type: new Abstract: Knowledge editing changes what a model knows by modifying parameters so that a requested fact updates while unrelated behavior is preserved. This is usually treated as a write problem, but editing also involves an address problem: deciding which hidden states should receive the new residual. An update that activates too narrowly memorizes one prompt, while one that activates too broadly disrupts neighboring knowledge. Parametric editors encode thisZeyan Li, Hu Xu, Jianfeng Xu
  • 45
    From Text Decisions to Pixels: An Study of Jev-Style Visual Choice Model
    arXiv:2609.29283v1 Announce Type: new Abstract: Visual software often needs a decision over supplied alternatives rather than a generated explanation. We present PixelJev, a native-image decision interface that maps an image, a task instruction, and a runtime candidate set to a structured choice and candidate-conditioned probabilities using small open multimodal models. Its initial realization unifies recognition and multiplechoice visual question answering through an existing language-model reaXunlan Zhou, Xianliang Yang, Li Zhao
  • 46
    When No One Owns the Judgment: Accountability Under Contribution Dissolution in Human-AI Collaboration
    arXiv:2609.29312v1 Announce Type: new Abstract: Communities often respond to potentially AI-assisted work by asking three questions: Was AI used? Was that use disclosed? Can hidden use be detected? These questions place AI use itself at the center of accountability while overlooking a deeper problem: unowned judgment. Evaluations, claims, decisions, and creative directions can be shaped by AI with no accountable human or institution prepared to stand behind them. We develop this argument throughHengzhi Ye
  • 47
    SkinAgent AI: A Safety-Grounded Multimodal Agentic Framework for Non-Diagnostic Skincare Support
    arXiv:2609.29341v1 Announce Type: new Abstract: Consumer-facing skincare AI must coordinate visual evidence, product information, tool use, and user-facing actions within explicit evidence and safety boundaries. This study evaluates SkinAgent AI, a non-diagnostic multimodal framework that combines visual concern routing with grounded and auditable LLM-based orchestration. The architecture includes routing for Acne, Pores, and Wrinkles; photograph-based skin-type estimation; count-informed ordinaMuhammad Muhtasim Shahriar, Abdullah Mohammad Sayem, Tze Hui Liew, M. F. Mridha, Md. Mahiuddin
  • 48
    The Last Human Gate: Forward Deployed Engineering for Governance Automation
    arXiv:2609.29345v1 Announce Type: new Abstract: Enterprise governance requires decisions, evidence, and accountable authority; it does not require every review task to retain its current human implementation. We develop a task-substitution framework for Digital Governance Frameworks (DGF), treating each gate as an executable contract. Substitution requires sufficient accessible information, valid decision and authority checks, and a reduction in total human work after exceptions, verification, cJeremy Canale
  • 49
    Beyond Simple Input-Output Assessment Tasks: Leveraging Automated Programming Assessment for Non-Trivial Courses
    arXiv:2609.29363v1 Announce Type: new Abstract: The public visibility of Artificial Intelligence (AI) is growing rapidly, driven by the positive impact of its applications across diverse fields of knowledge. In this new chapter, courses that cover the foundations of AI and machine learning become essential for understanding their role and potential in contemporary society. Therefore, understanding fundamental concepts and elementary algorithms through the close integration of theory with practicArtur Jordao
  • 50
    Epistemic-Probabilistic Model for Guarded Multi-Agent LLM Coordination
    arXiv:2609.29366v1 Announce Type: new Abstract: Multi-agent large language models (LLMs) have become ubiquitous in applied AI, yet their theoretical foundations remain surprisingly understudied. Viewed through the lens of multi-agent systems theory, several shortcomings come to light: a lack of social intelligence, the absence of coordination mechanisms among agents, unknown emergent behavior, and interactions between agents that are bounded by natural language. We address two of these gaps: theMehdi Nasiri, Mohammad Saeed Arvenaghi, Sadegh Vaezi, Ebrahim Ardeshir-Larijani
  • 51
    An auditable conditional-strategy framework for open-ended decision-making in complex lung cancer
    arXiv:2609.29381v1 Announce Type: new Abstract: Complex lung cancer decisions can involve several defensible pathways whose eligibility, sequencing and safety depend on unresolved information. Effective support must make explicit how patient conditions govern pathway eligibility, deferral and redirection. MedGPT Clinical Explorer (MCE) organizes alternatives, decision-changing unknowns, safety constraints and fallback into a conditional strategy for clinician review. To evaluate this representatDaoyun Wang, Zhicheng Huang, Huaiyuan Sun, Jiaqi Xu, Xiaowei Xu, Zhibo Zheng, Zhongxing Bing, Yuxiao Lin, Yicheng Liang, Chao Gao, Bowen Xue, Kai Zhang, Song Xu, Wanpu Yan, Hui Xia, Lin Li, Xiang Yan, Mu Hu, Qianli Ma, Zhiqiang Xue, Xiaofang Liu, Zhihai Han, Nan Zhang, Chuanhao Tang, Tongmei Zhang, Lan Song, Zhaohui Zhu, Xuan Zeng, Shafei Wu, Hui Guan, Lei Deng, Huaxia Yang, Zeliang Lian, Wubin Sun, Yongxin Wang, Xiaohui Shen, Binlin Wang, Tiantian Gu, Yu Cui, Li Zhang, Shirui Wang, Naixin Liang
共 357 条热搜查看完整榜单

Big Think · 实时热榜

27分钟前更新
  • 01
    Scratching the surface: A field guide to 100 essential novels
    If you’re not a member, then probably someone you know or love is: that shrinking, but still substantial guild of book-balancers who build towers of paperbacks on their nightstands. Few things are as enjoyable as finishing a good book, except perhaps starting a new one, and because the latter is easier than the former, the job is never done. Hence that precipitously perched tower of books. Being a book-lover is an exercise in mild frustration. You can finish a book, but you can’t finish books. TFrank Jacobs
  • 02
    The secret to reading more classics? Don’t treat them like homework.
    I have never read Crime and Punishment (1867). I’ve been meaning to for years and thought my moment had come last winter , after a weekend spent researching the best translation for a Dostoevsky newbie. Then life happened, as it does, and the moment skittered on by. I set my brand-new copy on the shelf, and it has been sitting there ever since, spine uncracked, its pristine pages a testament to my lapse. I don’t make this confession in shame. I read many wonderful books last year , some new releKevin Dickinson
  • 03
    Your Brain on Books
    What’s happening in your brain and body while you’re lost in a great book? Is reading print fundamentally different from reading on a screen? And how can you get the most restorative benefits from your reading habits? We’re covering these questions and much more in Big Think’s upcoming members-only event, Your Brain on Books. Join Big Think director Dan Hayes as he speaks with neuroscientist Anne-Laure Le Cunff and writer and book reviewer Alex Wieckowski about the neuroscience behind reading, hAnne-Laure Le Cunff
  • 04
    Ask Ethan: If intelligent alien life exists, will we make contact?
    For countless generations, humanity has gazed at the stars, planets, and great canopy of the Milky Way in the night sky, wondering who else or what else may be out there. Here in 2026, we’ve searched tens of thousands of star systems for signs of life, for signals of potentially intelligent extraterrestrial origin, including through radio waves, other forms of light, and even cosmic particle signatures. While we’ve discovered thousands of planets around those stars, including some that may be caEthan Siegel
  • 05
    The philosophy of liberalism and how it has transformed our institutions
    Jonathan Rauch, author and senior fellow at the Brookings Institution, dives into the philosophy of liberalism, how it has created and transformed our institutions, and the state of truth in a world rife with misinformation. This video The philosophy of liberalism and how it has transformed our institutions is featured on Big Think .Jonathan Rauch
  • 06
    America is too big for the Great American Novel
    Map fans and book lovers: Now that’s a Venn diagram with a big overlap. Why? “Because, like books, maps contain stories . When you’re reading a map, in your head you’re imagining a narrative to go along with it,” Ben Gibson says. Big Think’s design director, Ben is also the co-founder of Pop Char t , where he gets to produce in poster format all the things that would otherwise keep bouncing around in his head. Like this incredible map about books. Double whammy! Pinning more than 400 novels acroFrank Jacobs
  • 07
    “Donnie Darko” offers a time travel lesson you won’t find elsewhere
    In film, there are many ways to tell a story that involves time travel. Some movies, such as the Terminator franchise, simply include the phenomenon as a plot device, reckoning that the technical explanation is unimportant to the plot. Other times, as in Groundhog Day , characters get stuck in a time loop, only breaking out of it once a moral lesson is learned. Still others explore time travel in a scientific (or scientific-sounding) fashion, such as Back to the Future, Primer, or Everything EveEthan Siegel
  • 08
    The gap between knowing better and doing better, and how to close it
    Most of us can recite the benefits of exercise, gratitude, and patience while doing none of it. Tal Ben-Shahar calls this the Knowing-Doing gap, and our typical interventions, like retreats and month-long overhauls, keep it open. This video The gap between knowing better and doing better, and how to close it is featured on Big Think .Tal Ben-Shahar
  • 09
    The “Shmoogle Scenario,” and why denial is a fatal threat to your company
    In most organizations, preparing for disruption when everything is working smoothly almost never happens. Enjoying success, complacent CEOs focus on greeting happy investors, speaking at business conferences about their extraordinary skills, winning awards, receiving enormous paychecks and dividend packages, and teaching enraptured students at business schools. Managing a successful business is a good life. The last thing CEOs want to do while at the peak of success is think about how the mountaJeffrey I. Cole, Harlan J. Lebo
  • 10
    25 years later, “Donnie Darko” is finally getting a sequel
    By all accounts, Donnie Darko shouldn’t exist. The film, which turns 25 years old this year, ran into numerous obstacles both before and during its storied production. For one, the script centers on a troubled teen ultimately driven toward gun violence — a topic most Hollywood executives at the time stayed well away from, especially in the wake of the 1999 Columbine High School massacre. Then there’s the story of how writer-director Richard Kelly shot the infamous opening sequence — “Never TearTim Brinkhof
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  • 012469
    无论如何，潜水
    排名：1 · 评分：7.9 · 河美娜 / 2026-7 / 广西师大出版社 / 49.8 / 平装 · 文学 / 连续上榜2个月河美娜
  • 022112
    零诺
    排名：2 · 评分：8.9 · 行烟烟 / 2026-7 / 中信出版社 / 168 / 平装 · 小说 / 连续上榜2个月行烟烟
  • 034027
    伊加利亚的女儿们
    排名：3 · 评分：9.1 · [挪] 格德·布兰腾伯格 / 2026-5 / 太白文艺出版社 / 68.00元 / 精装 · 小说 / 连续上榜3个月[挪] 格德·布兰腾伯格
  • 04862
    爱的辛劳：一名心理咨询师见证的欲望、创伤与人间
    排名：4 · 评分：8.3 · [美] 斯蒂芬·格罗斯 / 2026-7 / 上海三联书店 / 49.00元 / 平装 · 连续上榜2个月 / 社会纪实[美] 斯蒂芬·格罗斯
  • 053524
    抄写员巴托比
    排名：5 · 评分：8.1 · [美] 赫尔曼·梅尔维尔 / 2026-4-1 / 陕西师范大学出版总社 / 32.00元 / 平装 · 小说 / 连续上榜5个月[美] 赫尔曼·梅尔维尔
  • 06937
    另一个国度：在20世纪废墟上的漫游
    排名：6 · 评分：8.8 · 杨潇 / 2026-6 / 民主与建设出版社 / 88.00元 / 平装 · 文学 / 连续上榜3个月杨潇
  • 071053
    落在我身上的雨
    排名：7 · 评分：9.2 · 陆庆屹 / 2026-8 / 新星出版社 / 59.00元 / 平装 · 文学陆庆屹
  • 08617
    傍晚的邂逅
    排名：8 · 评分：8.6 · [韩]朴婉绪 / 2026-7 / 上海文艺出版社 / 58.00元 / 平装 · 小说 / 连续上榜2个月[韩]朴婉绪
  • 09756
    隐蔽嫌疑人
    排名：9 · 评分：7.8 · 陈浩基 / 2026-8 / 上海三联书店 / 79.00元 / 平装 · 小说陈浩基
  • 10708
    品味与阶层：漫画解读布尔迪厄的区分理论
    排名：10 · 评分：8.6 · [法] 蒂菲娜·里维埃尔 / 2026-6 / 广东人民出版社 / 98.00元 / 平装 · 绘本漫画 / 连续上榜2个月[法] 蒂菲娜·里维埃尔
  • 111489
    辞职上山：我在武当的200天
    排名：11 · 评分：8.0 · 李闯 / 2026-5 / 新星出版社 / 59.00元 / 平装 · 社会纪实 / 连续上榜4个月李闯
  • 121550
    翠鸟谋杀案
    排名：12 · 评分：7.9 · [英] 安东尼·霍洛维茨 / 2026-5 / 新星出版社 / 98.00元 / 平装 · 小说 / 连续上榜4个月[英] 安东尼·霍洛维茨
  • 131294
    为父则刚
    排名：13 · 评分：8.9 · 杨雨坤 著 / 2026-6 / 广西师范大学出版社 / 52 / 平装 · 社会纪实 / 连续上榜3个月杨雨坤 著
  • 14386
    西塔：一个东北街区中的空间、国家与日常
    排名：14 · 评分：8.6 · 宋念申 / 2026-8 / 上海人民出版社 / 79.80元 / 精装 · 历史文化宋念申
  • 15439
    恐龙的移动轨迹
    排名：15 · 评分：8.2 · [韩] 金和珍 / 2026-8 / 广西师范大学出版社 / 48 / 平装 · 小说[韩] 金和珍
  • 16231
    起初的力量：圣王传奇
    排名：16 · 评分：7.9 · 刘勃 / 2026-6 / 新星出版社 / 36.00 / 平装 · 历史文化刘勃
  • 17329
    它的正义
    排名：17 · 评分：9.0 · Papi妈妈 / 2026-7-1 / 中国民主法制出版社 / 58.00元 / 平装 · 社会纪实Papi妈妈
  • 18196
    本质之书
    排名：18 · 评分：8.6 · [塞内加尔]穆罕默德·姆布加尔·萨尔 / 2026-6 / 南海出版公司 / 69.00元 / 精装 · 小说[塞内加尔]穆罕默德·姆布加尔·萨尔
  • 19552
    灰姑娘谜局
    排名：19 · 评分：8.1 · 塘璜 / 2026-6 / 深圳出版社 / 59.00元 / 平装 · 小说塘璜
  • 20284
    中国菜市场
    排名：20 · 评分：8.3 · 钟淑如 / 2026-7 / 光启书局 / 88.00 / 平装 · 社会纪实钟淑如
共 20 条热搜查看完整榜单

Frontiers · Neuroscience

34分钟前更新
  • 01
    Non-motor correlates of anxiety in de novo Parkinson’s disease: a cross-sectional study with exploratory subgroup analyses
    ObjectiveAnxiety is a prevalent early non-motor symptom of Parkinson’s disease (PD), but its clinical correlates remain poorly defined in de novo, drug-naïve patients. This retrospective cross-sectional study enrolled 284 medication-naïve de novo PD patients and 147 age- and sex-matched healthy controls to identify non-motor correlates of anxiety after adjustment for demographic and motor covariates, and explore potential subgroup heterogeneity.MethodsAnxiety was assessed with the Hamilton AnxieGuixiang He
  • 02
    Biological hierarchy from genotype to phenotype in syndromic and non-syndromic autism spectrum disorder
    Autism spectrum disorder (ASD) is a heterogeneous neurodevelopmental condition whose pathophysiology is thought to arise from complex interactions among genetic variation, molecular and cellular perturbations, and neural circuit dysfunction. Although the distinction between syndromic and non-syndromic ASD was introduced as a pragmatic clinical classification, these clinically defined subgroups may exhibit overlapping yet distinct patterns of genetic liability and molecular dysregulation while alZemin Qing
  • 03
    Metabolic dysfunction associates with neuroimaging measures of brain structure and connectivity
    IntroductionMetabolic syndrome (MetS) and insulin resistance are established risk factors for Alzheimer’s disease (AD) and have been linked to alterations in brain structure and function, including within the Default Mode Network (DMN).MethodsHere, we examined associations between metabolic dysfunction, brain structure, and DMN functional connectivity using data from the Health and Aging Brain Study: Health Disparities (HABS-HD) cohort. Participants were classified as being cognitively unimpaireZachary D. Green
  • 04
    Editorial: Panoramic view of cognitive impairment: interdisciplinary cognitive research, volume II
    Chong Tian
  • 05
    Dual-point sensory anchoring: emergent attentional coherence through embodied coupling
    Attentional instability is a persistent cognitive challenge in adult life, yet most existing interventions work through top-down regulatory pathways that require sustained effort, specialized instruction, or clinical access. This paper introduces Dual-Point Sensory Anchoring (DPSA), a sensorimotor paradigm proposing a different route: attentional stability engineered from the bottom up, through the continuous confirmation of low-level tactile-proprioceptive predictions instead of through metacogPhillip Fei Hou
  • 06
    PRNP D178N-129MM prion disease: Creutzfeldt-Jakob disease-like cortical ribboning without prominent early insomnia
    BackgroundThe PRNP p.Asp178Asn (D178N) mutation on a methionine-bearing codon-129 allele is classically associated with fatal familial insomnia (FFI), but some carriers develop a Creutzfeldt-Jakob disease (CJD)-like phenotype.Case presentation and findingsWe report a 59-year-old woman with two months of rapidly progressive cognitive-language decline, caregiver-observed nocturnal sitting-up and sleep talking, weight loss, extensive cortical diffusion-weighted imaging (DWI) ribboning, positive cerWanyi Wei
  • 07
    Landolt C acuity follows Bloch's Law for short-duration flashes
    PurposeBloch's Law states that up to a critical duration, typically between 30 and 100 ms, the detection of a flash depends on its total strength (the product of luminance and duration). This study investigated whether this principle of temporal summation extends to shape recognition, assessed via optotype-based visual acuity.MethodsMonocular Landolt-C acuity was measured in 19 healthy participants across 25 stimulus conditions. These conditions combined five photopic luminance levels (3.3–53 cdConstantin C. Ketz
  • 08
    Comparison of automated white matter lesion segmentation approaches for use in large, multi-site data analyses in Parkinson’s disease
    BackgroundThe vascular role in Parkinson’s disease (PD) is emerging, yet the literature remains conflicted, motivating large-data analyses with greater statistical power. White matter lesions (WML) are an accepted imaging marker of small vessel disease. Accurate automated WML segmentation techniques are crucial for large-scale studies; however, evaluation of the optimum approach in PD is lacking. This study evaluated automated WML segmentation algorithms to determine the most accurate and reliabSarah Al-Bachari
  • 09
    Correction: Effect of fresh-frozen plasma transfusion on intraventricular hemorrhage risk in preterm infants with prolonged APTT: a target trial emulation with causal forest analysis
    Bingyi Tang
  • 10
    Alzheimer's detection using quanvolutional neural networks with federated training
    Alzheimer's disease detection from MRI data is challenging because of subtle anatomical patterns, high-dimensional image data, and privacy constraints associated with centralized medical-data training. We propose a hybrid quantum–classical federated learning framework using a frozen four-qubit quanvolutional front-end. The 128 × 128 grayscale MRI images are divided into 2 × 2 patches, and quantum features are pre-extracted using a fixed circuit implemented in PennyLane. The resulting features arPrakhar Mishra
  • 11
    Multicomponent non-pharmacological interventions for preventing delirium in critically ill patients: a systematic review and meta-analysis of randomized controlled trials
    BackgroundIt is necessary to evaluate the efficacy of multicomponent non-pharmacological interventions in preventing and managing intensive care unit (ICU) delirium and identify the most effective intervention combinations.MethodsA systematic literature search was conducted in PubMed, EMBASE, CINAHL, Cochrane Library, and ProQuest Dissertations and Theses A&I databases from inception to July 3, 2026, supplemented by a hand search of prior meta-analyses. Only randomized trials were included. MetaShiting Wang
  • 12
    Regulatory flexibility under pressure: an asymmetric brain-body model of leadership in high-stakes teams
    Leadership under pressure is often framed as a cognitive challenge, although consequential decisions are made by embodied agents whose cardiovascular, respiratory, autonomic, endocrine, and interoceptive states change with stress. We propose an asymmetric interpersonal brain-body model for high-stakes teams. Contextual demands alter a leader’s regulatory state; this state shapes cognitive flexibility, social perception, communication, and action; and leader signals modify the team’s regulatory eMarkus M. Luedi
  • 13
    Differential autophagy cargo engagement in amyloid-β-induced neuronal toxicity
    Neurodegenerative diseases are characterized by progressive neuronal loss and the accumulation of misfolded proteins. In Alzheimer's disease, several pathogenic protein species, including amyloid precursor protein, amyloid beta, tau, phosphorylated tau, and alpha-synuclein, are known substrates of macroautophagy. However, the extent to which macroautophagy selectively engages these proteins for degradation under conditions of proteotoxic stress remains poorly understood. Here, the contribution oDanielle Brink
  • 14
    Minding the gates: dual cell-autonomous and non-cell-autonomous mechanisms of TBK1 in ALS/FTD
    Amyotrophic lateral sclerosis (ALS) and frontotemporal dementia (FTD) comprise a neurodegenerative disease spectrum characterized by TDP-43 pathology and overlapping genetic risk factors. Loss-of-function variants in TBK1 (TANK-binding kinase 1) represent one of the most common genetic causes of ALS/FTD, highlighting haploinsufficiency for TBK1 as a major contributor to disease pathogenesis. Emerging evidence from iPSC and mouse models suggests that reduced TBK1 activity disrupts interconnectedJulie Smeyers
  • 15
    PADA: perturbation-aware differential Riemannian attention for robust motor imagery decoding
    IntroductionRiemannian geometry models have significantly improved the robustness and performance of EEG-based motor imagery decoding and are better suited to small sample sizes; however, their ability to extract nonlinear and spatiotemporal variability features often falls short of Euclidean-based deep learning methods. To address these limitations, we introduce a perturbation-aware differential Riemannian attention mechanism (PADA).MethodsPADA develops a window-based learnable Riemannian modulJianxiu Li
  • 16
    Endovascular approaches to neural interfacing: lessons from cardiovascular technologies
    Endovascular neural interfaces (ENIs) have emerged as a minimally invasive alternative to traditional neural interfaces. These devices are implanted within blood vessels adjacent to neural tissue to record or stimulate neural activity across the vessel wall. This enables minimally invasive implantation through angiographic procedures and reduces the risk of neural tissue damage. As they are deployed in the intravascular space, ENIs have a similar technological evolution to cardiovascular devicesLeire Landeira-Suquia
  • 17
    Quantitative identification of regular texture spacing via spatiotemporal signal analysis of pressure sensor responses
    Tactile sensing in biological systems is a sophisticated spatiotemporal process where mechanoreceptors decode surface properties through rhythmic interactions. However, current artificial tactile recognition predominantly relies on discrete classification under highly constrained conditions, making it difficult to capture the quantitative physical dimensions of stimuli in naturalistic settings. This study proposes a spatiotemporal method for the quantitative identification of regular texture spaWuyue Zhang
  • 18
    Hydrogen sulfide as a hypoxia mimetic for improving chronic neural implant integration
    Chronic neural implants often exhibit progressive loss of function due to a foreign body response characterized by inflammation, oxidative stress, and glial scarring at the implant-tissue interface. While advances in device mechanics and materials have improved performance, complementary bioactive strategies are needed to modulate the local biological environment and enhance long-term stability. Here, we propose that hydrogen sulfide (H₂S), an endogenously produced gasotransmitter with cytoproteLadan Jiracek-Sapieha
  • 19
    Neural signatures of auditory distraction and cognitive demand during working memory performance
    Cognitive performance in real-world environments often requires maintaining working memory under simultaneous cognitive demand and environmental distraction. Although both factors have independently been associated with alterations in attention and executive control, their combined neural effects remain insufficiently understood. The present study investigated the influence of auditory distraction, time pressure, and their combination on working memory performance using a multidimensional electrMichael Leitner
  • 20
    The tubulin code in acute ischemic stroke: post-translational reprogramming of the neuronal cytoskeleton and implications for phase-specific neuroprotection
    Acute ischemic stroke initiates a rapid convergence of excitotoxicity, calcium overload, oxidative stress, neuroinflammation, and energetic failure. Although reperfusion therapies remain central to acute care, they do not directly address the structural failure of injured neuronal networks. This narrative review examines the neuronal microtubule cytoskeleton as an active regulatory platform whose function is governed by the tubulin code: tubulin isotype composition and post-translational modificDavid Bar-Or
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果壳 · 实时热榜

42分钟前更新
共 30 条热搜查看完整榜单
  • 01
    探险家法兰西斯·德瑞克完成环球航海旅行
    法兰西斯·德瑞克（1540年—1596年1月28日），英国探险家、著名海盗，据知他是第二位在麦哲伦之后完成环球航海的探险家。
  • 02
    法国浪漫主义画派先驱杰利柯·西奥多出生
    泰奥多尔·席里柯（1791-1824），法国浪漫主义画家，生于诺曼底卢昂。师从卡尔·韦尔内与格罗，是法国浪漫主义先驱，代表作《梅杜莎之筏》，另创作《奴隶与马的较量》《疯癫的肖像》等系列作品。
  • 03
    清代思想家龚自珍逝世
    龚自珍是清代思想家和文学家。他是一名“官三代”，祖父官至内阁中书军机处行走，父亲官至江苏按察使。他创作了许多脍炙人口的诗句，如“落红不是无情物，化作春泥更护花”等。
  • 04
    丹麦国王克里斯蒂安十世出生
    克里斯蒂安十世（Christian Carl Frederik Albert Alexander Vilhelm，1870年9月26日-1947年4月20日），丹麦国王（1912-1947年在位）兼冰岛国王（1918-1944年在位），生于哥本哈根夏洛滕堡宫，卒于阿美琳堡王宫，安葬于罗斯基勒大教堂。
  • 05
    德国著名哲学家马丁·海德格尔出生
    马丁·海德格尔(Martin Heidegger 1889.09.26－1976.05.26)，德国哲学家，20世纪存在主义哲学的创始人和主要代表之一。
  • 06
    刘少奇的夫人王光美出生
    王光美（1921-2006），曾名董朴，祖籍天津，刘少奇之妻。1921年9月出生于北京，20世纪40年代初求学并任教于北平辅仁大学。
  • 07
    美国将军罗伯特·艾克尔伯格逝世
    罗伯特·劳伦斯·艾克尔伯格（英文：Robert Lawrence Eichelberger，1886年3月9日－1961年9月26日）美国陆军上将，人称"残忍的普鲁士人".曾主持训练和重整撤至澳大利亚的美、澳军队。
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  • 01355.9万
    m-a-p/FineFineWeb
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  • 02201.0万
    huggingface/documentation-images
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  • 03184.2万
    Salesforce/wikitext
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  • 04165.0万
    banned-historical-archives/banned-historical-archives
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    ayuo/hd_tmp
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    world-igr-plum/regions
    region:usworld-igr-plum
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    tasl-lab/uniocc
    task_categories:image-to-3d, modality:3d, arxiv:2503.24381, region:us, autonomous-driving, occupancy-prediction, occupancy-forecasting, 3d, 3d-occupancytasl-lab
  • 08125.5万
    ryanmarten/OpenThoughts-1k-sample
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    nvidia/PhysicalAI-Robotics-GR00T-X-Embodiment-Sim
    task_categories:robotics, region:us, roboticsnvidia
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    openai/gsm8k
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    allenai/c4
    task_categories:text-generation, task_categories:fill-mask, task_ids:language-modeling, task_ids:masked-language-modeling, annotations_creators:no-annotation, language_creators:found, multilinguality:multilingual, source_datasets:original, language:af, language:amallenai
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    arxiv:2404.07972, region:usxlangai
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    transferable-samplers/many-peptides-md
    arxiv:2508.18175, region:ustransferable-samplers
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    allenai/ai2_arc
    task_categories:question-answering, task_ids:open-domain-qa, task_ids:multiple-choice-qa, annotations_creators:found, language_creators:found, multilinguality:monolingual, source_datasets:original, language:en, size_categories:1K<n<10Kallenai
  • 1686.6万
    hallucinations-leaderboard/results
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    nyu-mll/glue
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    Lichess/standard-chess-games
    size_categories:1B<n<10B, format:parquet, modality:tabular, modality:text, library:datasets, library:dask, library:mlcroissant, library:polars, region:usLichess
  • 1977.4万
    cais/mmlu
    task_categories:question-answering, task_ids:multiple-choice-qa, annotations_creators:no-annotation, language_creators:expert-generated, multilinguality:monolingual, source_datasets:original, language:en, size_categories:100K<n<1M, format:parquetcais
  • 2073.9万
    mlfoundations/MINT-1T-HTML
    task_categories:image-to-text, task_categories:text-generation, language:en, size_categories:100M<n<1B, format:parquet, modality:text, library:datasets, library:dask, library:mlcroissantmlfoundations
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    size_categories:n<1K, modality:video, library:datasets, library:mlcroissant, region:usDagonulca
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    region:usk9cli
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    aps/super_glue
    task_categories:text-classification, task_categories:token-classification, task_categories:question-answering, task_ids:natural-language-inference, task_ids:word-sense-disambiguation, task_ids:coreference-resolution, task_ids:extractive-qa, annotations_creators:expert-generated, language_creators:other, multilinguality:monolingualaps
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    mvp-lab/LLaVA-OneVision-1.5-Mid-Training-85M
    arxiv:2509.23661, region:usmvp-lab
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    size_categories:n<1K, modality:video, library:datasets, library:mlcroissant, region:usDrakesuper
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    language:en, size_categories:10M<n<100M, format:parquet, modality:text, library:datasets, library:dask, library:mlcroissant, library:polars, region:usSwayStar123
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    size_categories:n<1K, format:text, modality:text, library:datasets, library:mlcroissant, region:usHennyPr
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    ksolovev/fine-news
    task_categories:text-generation, size_categories:100M<n<1B, region:us, news, journalism, media, common-crawl, cc-news, multilingualksolovev
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    scorpionjacketguy/physics-course-vids
    size_categories:n<1K, modality:document, modality:text, region:usscorpionjacketguy
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    allenai/objaverse
    language:en, arxiv:2212.08051, region:usallenai
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    task_categories:text-generation, language:en, size_categories:1B<n<10B, format:parquet, modality:tabular, modality:text, library:datasets, library:dask, library:mlcroissantepfml
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    KakologArchives/KakologArchives
    task_categories:text-classification, language:ja, region:usKakologArchives
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    BuLei/imgbed
    size_categories:n<1K, format:imagefolder, modality:image, library:datasets, library:mlcroissant, region:usBuLei
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    region:us, documentationhf-doc-build
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    annotations_creators:crowdsourced, annotations_creators:expert-generated, language_creators:crowdsourced, language_creators:expert-generated, multilinguality:monolingual, source_datasets:original, language:en, size_categories:1K<n<10K, format:parquetgoogle-research-datasets
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    language:en, size_categories:n>1T, region:us, biology, bioinformatics, genomics, dna, sequencepulmo
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    HuggingFaceFW/fineweb-edu
    task_categories:text-generation, language:en, size_categories:1B<n<10B, format:parquet, modality:tabular, modality:text, library:datasets, library:dask, library:polarsHuggingFaceFW
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    Emmyc2/psp
    region:usEmmyc2
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虎扑 · 历史区

27分钟前更新
共 10 条热搜查看完整榜单
  • 01
    Lab on a Contact Lens Can Measure Stress Through Serotonin
    A “lab on a contact lens” can measure the neurotransmitter serotonin in tears, potentially offering a novel wearable method to noninvasively analyze levels of stress, a new study finds. “Tears could become a practical, noninvasive source of biochemical information that can be measured repeatedly over time,” says Yangzhi Zhu , director of the biomedical device center at the Terasaki Institute for Biomedical Innovation in Los Angeles. “Most biomarker testing today still relies on blood draws or isCharles Q. Choi
  • 02
    Ingestible Paper Battery Powers Biodegradable Medical Devices
    Typically, if you swallow a battery, it’s a mistake that calls for a trip to the hospital. But that’s not the case with a new ingestible paper battery developed by scientists at MIT. The battery could be used to power medical devices inside the body before safely breaking down. In tests in live pigs, the paper battery “generated sufficient power to perform meaningful functions inside the gastrointestinal tract, including meter-scale wireless communication and continuous electrical stimulation ovCharles Q. Choi
  • 03
    This Prosthetic Armband Senses Muscles With Light
    Prosthetic arms and hands often stop working when wearers start to sweat. A New Zealand team of engineers and assistive technologists argues that a small change—using light-based sensors on the skin instead of electrical sensors that pick up nerve activity—could fix the problem. For decades, electrical muscle sensors have been the default way for a device to infer the user’s desired hand, wrist, and finger motions. By placing electrodes on a prosthetic-wearer’s arm near key muscle groups, the seJason Hahr
  • 04
    Google DeepMind Maps 9 Billion Possible DNA Variants
    DNA is often explained as a codebook or set of instructions for producing proteins, and ultimately, life. Some stretches of DNA, called genes, code for proteins, but the vast majority of DNA is considered “noncoding.” Some of it has no known function, while other segments are critical to regulating gene activity. These regulatory elements can interact in complicated ways, and their effects can vary across different cells and tissues. Some also influence genes located far away in the genome. UndeGreg Uyeno
  • 05
    The First Battery Was Inspired By a Dead Frog
    In a display case on the lower level of the Faraday Museum at the Royal Institution in London, there’s an unassuming stack of gray metal discs and blotting paper. It’s not at all obvious that this humble object is the starting point of today’s multibillion-dollar global battery industry. The object’s invention in 1799 grew out of a disagreement that Alessandro Volta —the Italian physicist for whom the unit of measurement for electrical potential is named—had with his friend Luigi Galvani over aAllison Marsh
  • 06
    Brain Implant Uses Infrared Light to Send Neural Signals
    For years, brain-computer interfaces (BCIs) have promised to help people with severe paralysis communicate. The technology is still experimental, but more researchers and companies like Neuralink and Synchron are now testing these devices in human clinical trials . Geneva-based Ability Neurotech is the latest to join their ranks, as it gears up to move its optical BCI from brief tests during surgery toward months-long use in a clinical trial. Last month, the company started an intraoperative stuShannon Cuthrell
  • 07
    Augmental’s Mouthpad Is a Touchpad for Your Tongue
    When Ryan Hudson-Peralta, a self-described “Apple fanboy,” isn’t using the computer, he’s on his phone. But all of this screentime—and mouse use—can take a toll on his body. Hudson-Peralta , a designer, speaker, and disability advocate, was born with no hands and uses a wheelchair. “With my disability, I was born without shoulder sockets,” he says, and using a traditional computer mouse for an extended period leads to shoulder pain. Through a consultancy he founded, Equal Accessibility , Hudson-Greg Uyeno
  • 08
    AI Can Now Design Functional Viruses. Should We Worry?
    Sixteen viruses is not a large number. But the 16 bacteria-infecting viruses described on 6 August in Science were no ordinary specimens. They were not fished out of a sewage outflow or dug up from a soil sample, which is where such things normally come from. They were written by a genomic language model trained on vast troves of DNA sequences. Researchers at Stanford University designed the small viruses from scratch, producing the first complete, functional genomes ever generated by AI. And thElie Dolgin
  • 09
    Solaris Project Will Study a Total Eclipse and the Heart
    On 12 August, just before sunset, a strip of the Iberian Peninsula will witness its first total solar eclipse in more than 120 years. For many across the region, this is a rare chance to see the moon block out the sun. For one group of researchers, it’s an even rarer chance to record the human body’s reaction to that awesome phenomenon . For the first time, scientists will monitor those observers with the aid of smartwatches and fitness trackers. In Catalonia, the Solaris project is recruiting wRahul Rao
  • 10
    Sleep Patch Could Track Brain’s Nightly Cleansing Ritual
    When you get a good night’s sleep, you aren’t just giving your brain a chance to rest. Sleep activates a system only discovered in 2012 that washes out brain waste. Called the glymphatic system, it’s comparable to the better-known lymphatic system that moves and filters fluids throughout your body. A healthy glymphatic system is linked to good cognitive function and could prevent neurodegenerative diseases like Alzheimer’s, but monitoring it during sleep has been practically impossible in humansAlex Music
  • 11
    Injectable Outlet in the Body Powers Bioelectric Implants
    Supplying power to bioelectronic implants is essential for long-term operations. However, placing a socket on them can invite invasions from microbial intruders, and wireless charging antennas are often bulky. Now scientists have created a new implantable power outlet accessible via needle they say can overcome the challenges faced by previous charging techniques. “It is intended to serve as a general access point that could be integrated with many existing implantable bioelectronic devices, incCharles Q. Choi
  • 12
    Exosuit Aids Walking Without Motors
    Researchers in China have developed a soft exoskeleton for the lower body that is completely motor-free and is driven instead by high-power artificial muscles. The harness reduces the amount of energy a person spends walking by nearly a sixth, surpassing most hip-assistive exoskeletons, according to a study detailing the device published 10 July in the journal Science Advances . Companies and research groups worldwide are developing soft exoskeletons as wearable harnesses that can assist and augCharles Q. Choi
  • 13
    Cortisol Could Be the Next Frontier for Wearables
    In barely a decade, the continuous glucose monitor has turned real-time blood sugar into a number that millions track on their phones. The small round patch on the back of the arm is everywhere now—on diabetics, athletes, biohackers, and the simply curious. And for people with diabetes , it has revolutionized management of their disease. Now a startup called Adaptyx Biosciences has taken a major step toward doing for the stress hormone cortisol what the glucose sensors did for blood sugar. LastElie Dolgin
  • 14
    This AI Folds DNA Into Mini Masterpieces
    Shaped like dogs, stars, and the Mona Lisa, you could mistake these DNA structures for fun-shaped macaroni if they weren’t only nanometers wide. South Korean scientists made the constructions using a technique called DNA origami , which can bend genetic material into any form. Designing DNA strands so they’ll fold into a specific shape typically requires tedious manual work, but the researchers behind the playful fabrications have developed a shortcut using generative AI. The AI model, called GeAlex Music
  • 15
    How a Google DeepMind Spin-off Hunts Hidden Drug Targets
    For more than a decade, artificial intelligence has been touted as a way to dramatically accelerate drug discovery . Yet despite billions of dollars in investment, relatively few AI-designed medicines have made it to patients. That’s partially because the timelines for careful drug testing can’t be easily compressed—and partially because drug development is just really hard. Isomorphic Labs , the Google DeepMind spin-off that’s building on DeepMind’s Nobel Prize-winning work on protein structureEliza Strickland
  • 16
    Ultrasound Patch Could Form Future Pacemaker
    With the reliability of a quality wristwatch, pacemakers send out electric pulses to keep your heart beating at a steady rate. But unlike a watch, when the batteries need replacement, it’s a surgical affair—one that can be required as often as every five years . While the risks of having a pacemaker implanted are low, going under the knife always creates the potential for complications. A group of California and Massachusetts scientists have developed a pacemaker that works without requiring surAlex Music
  • 17
    Could This Blood-Filtering Device Help Treat Ebola?
    As the deadly Bundibugyo strain of Ebola continues to ravage parts of Central Africa, physicians once again find themselves scrambling for ways to keep the sickest patients alive. Existing antibody treatments are strain-specific and don’t target the virus responsible for the current outbreak, leaving few therapies capable of clearing virus from the bloodstream. This forces doctors to rely largely on supportive care for people in advanced stages of disease. That treatment gap is reviving interestElie Dolgin
  • 18
    Poetry for Engineers: Cyborg Laboratory
    This is the place where you face yourself, the you that could be you with a few different parts, a pump for your heart, eyes off color, and fresh off the shelf fake hair (a bit obvious), skin smoothed. You’re not perfect, but it’s a good start. Down to small digits, you’ll be improved. Memory maintained by small motors, as long as these gizmos don’t glitch. What’s before you? Full replacement or a constant game of test and switch, pieces peeled off, disconnected, removed, until you are not yoursPaul Jones
  • 19
    Leap in DNA Synthesis Slashes Time to Build New Genetic Sequences
    A new method for writing DNA promises to unlock the potential of generative AI in biology, giving scientists a fast, affordable, and accurate way to physically build the novel genetic sequences that predictive models are now producing faster than anyone can construct them. The technique, called Sidewinder, can assemble dozens of genetic sequences simultaneously in a single test tube, producing just one incorrect junction for every 10 million assembly events—a level of precision that far surpasseElie Dolgin
  • 20
    System Boosts Speech Volume Based on Brain Signals
    It can be difficult to carry on conversation in a crowded public setting, and even more so with any degree of hearing loss. But what if you could amplify only the person you wanted to hear and suppress the rest ? What if a computer could do that automatically by reading your brain? When we focus on a particular person talking, we subconsciously track the gradual modulations in speech volume, which vary from speaker to speaker. This characteristic pattern appears in the brain activity of the listGreg Uyeno
  • 21
    Developers: Get Your Medical Mobile App Certified By IEEE
    Patients who use mobile applications to manage medical conditions including depression and chronic pain might assume the apps have been evaluated by regulatory agencies to be safe and effective. But that isn’t necessarily the case. Most of the more than 55,000 medical apps that claim to diagnose or treat a condition—or ones that provide clinical decision support, known as “therapeutic” apps—have never been assessed by any trusted neutral bodies or regulatory agencies to evaluate them for technicKathy Pretz
  • 22
    Can AI Chatbots Reason Like Doctors?
    One of the earliest stated goals for computing in medicine was to aid in clinical reasoning: the decision-making steps required to reach a diagnosis and form a treatment plan. And over the years, researchers have built many clinical decision support systems, which have typically been purpose-built, with painstakingly written rules about symptoms, test thresholds, and medication interactions. As artificial intelligence capabilities develop, clinical reasoning is a natural application. Now, a largGreg Uyeno
  • 23
    Chatbots Need Guardrails to Prevent Delusions and Psychosis
    Millions of people worldwide are turning to chatbots like ChatGPT or Claude, and a proliferating class of specialized AI companionship apps for friendship, therapy, or even romance. While some users report psychological benefits from these simulated relationships, research has also shown the relationships can reinforce or amplify delusions, particularly among users already vulnerable to psychosis. AIs have been linked to multiple suicides, including the death of a Florida teenager who had a montStephen Cousins
  • 24
    Bionic Tech Must Prove Itself Beyond the Lab
    I first met Robert Woo in 2011, during his third time walking in a powered exoskeleton . The architect had been paralyzed in a construction accident four years earlier, but he was determined to get back on his feet. Watching him clunk across a rehab room in an exoskeleton prototype, the technology felt astonishing. I had the same reaction when reporting on early brain-computer interfaces (BCIs), which enabled paralyzed people to move robotic arms or communicate by thought alone . Both types of bEliza Strickland
  • 25
    Do We Really Need Smarter AI to Cure Cancer?
    By some estimates, more than a trillion dollars have already been invested in artificial intelligence. But large tech companies , including Meta and OpenAI, are still not content with today’s AI; they say they’ve set their sights on powerful, versatile AI that by some measure would match or even exceed human performance. A remarkable amount of resources is being poured into developing artificial general intelligence (AGI) or even more capable artificial super intelligence (ASI). Excitement arounGreg Uyeno
  • 26
    Chips Sense Free Radicals With Speed
    When things go bad—be it beer, batteries, or blood—they generate a certain class of molecules called free radicals. Scientists use a technique called electron paramagnetic resonance (EPR) spectroscopy to pick up the concentration and identities of free radicals, but today’s equipment relies on huge, heavy magnets. Groups of researchers in California, Germany, and now France have been inventing ways to shrink the whole spectroscopy system onto a chip, so scientists can take the instrument into thSamuel K. Moore
  • 27
    Can Biologists Rewrite the Genome’s Spaghetti Code?
    What if biology stopped being something we study and started becoming something we design? That’s the premise of Adrian Woolfson ’s new book, On the Future of Species: Authoring Life by Means of Artificial Biological Intelligence , which published on 28 April from MIT Press . He argues that advances in AI and DNA synthesis are pushing biology toward an engineering paradigm—one in which scientists can generate new genetic sequences and eventually build organisms to order. He calls this emerging cEliza Strickland
  • 28
    Engineering Collisions: How NYU Is Remaking Health Research
    This sponsored article is brought to you by NYU Tandon School of Engineering . The traditional approach to academic research goes something like this: Assemble experts from a discipline, put them in a building, and hope something useful emerges. Biology departments do biology. Engineering departments do engineering. Medical schools treat patients. NYU is turning that model inside out. At its new Institute for Engineering Health , the organizing principle centers around disease states rather thanThomas Machinchick
  • 29
    Contact Lens Uses Microfluidics to Monitor and Treat Glaucoma
    More than 80 million people suffer from glaucoma globally , making it the second most common cause of blindness worldwide. The disease—caused by elevated internal eye pressure damaging the optic nerve—is incurable, but its progression can be slowed with drugs to control eye pressure. Now, researchers have developed an electronics-free smart contact lens that can track the disease in real time and also deliver drugs in response. The all-polymer lens includes a microfluidic sensor that monitors eyEdd Gent
  • 30
    What It’s Like to Live With an Experimental Brain Implant
    Scott Imbrie vividly remembers the first time he used a robotic arm to shake someone’s hand and felt the robotic limb as if it were his own. “I still get goosebumps when I think about that initial contact,” he says. “It’s just unexplainable.” The moment came courtesy of a brain implant: an array of electrodes that let him control a robotic arm and receive tactile sensations back to the brain. Getting there took decades. In 1985, Imbrie had woken up in the hospital after a car accident with a broEdd Gent
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