{"@context":"https://schema.org","@type":"NewsArticle","generatedAt":"2026-07-28T05:20:57.982Z","headline":"脑电波能否成为物理AI的下一个突破口？","description":"Encord正与Zander Labs合作，通过头戴设备测量操作员脑电波来推断其心理状态，为机器人模型生成更优质的训练数据。Encord机器人学习主管指出，物理AI的核心瓶颈是真实世界训练数据的极度稀缺。目前该试验旨在构建初始脑波标记数据集，评估其对模型性能的提升效果。","url":"https://www.aioga.com/news/cms2hjqr600zgro3ftsbeg7vq/","mainEntityOfPage":"https://www.aioga.com/news/cms2hjqr600zgro3ftsbeg7vq/","datePublished":"2026-07-27T00:19:14.000Z","dateModified":"2026-07-27T00:19:14.000Z","inLanguage":"zh-CN","publisher":{"@type":"NewsMediaOrganization","name":"Aioga","url":"https://www.aioga.com"},"citation":["https://techcrunch.com/2026/07/26/are-brain-waves-the-next-unlock-for-physical-ai","https://aihot.virxact.com/items/cms2hjqr600zgro3ftsbeg7vq"],"canonicalUrl":"https://www.aioga.com/news/cms2hjqr600zgro3ftsbeg7vq/","directAnswer":{"@type":"Answer","text":"Aioga 编辑摘要：Encord正与Zander Labs合作，通过头戴设备测量操作员脑电波来推断其心理状态，为机器人模型生成更优质的训练数据。 Aioga 将其归入「技巧观点」方向，重点关注它对真实使用和行业竞争的影响。","url":"https://www.aioga.com/news/cms2hjqr600zgro3ftsbeg7vq/","dateCreated":"2026-07-27T00:19:14.000Z","author":{"@type":"Organization","@id":"https://www.aioga.com/authors/aioga-editorial/#editorial-team","name":"Aioga Editorial Team","url":"https://www.aioga.com/authors/aioga-editorial/"}},"evidence":[{"@type":"CreativeWork","name":"TechCrunch source article","url":"https://techcrunch.com/2026/07/26/are-brain-waves-the-next-unlock-for-physical-ai","datePublished":"2026-07-27T00:19:14.000Z","provider":{"@type":"Organization","name":"TechCrunch","url":"https://techcrunch.com/2026/07/26/are-brain-waves-the-next-unlock-for-physical-ai"}},{"@type":"CreativeWork","name":"AIHot archive record","url":"https://aihot.virxact.com/items/cms2hjqr600zgro3ftsbeg7vq","datePublished":"2026-07-27T00:19:14.000Z","provider":{"@type":"Organization","name":"AIHot","url":"https://aihot.virxact.com/items/cms2hjqr600zgro3ftsbeg7vq"}}],"aggregationSource":"TechCrunch：AI（RSS）","originalPublisher":{"name":"TechCrunch","url":"https://techcrunch.com/2026/07/26/are-brain-waves-the-next-unlock-for-physical-ai"},"article":{"id":"cms2hjqr600zgro3ftsbeg7vq","slug":"cms2hjqr600zgro3ftsbeg7vq","url":"https://www.aioga.com/news/cms2hjqr600zgro3ftsbeg7vq/","title":"脑电波能否成为物理AI的下一个突破口？","title_en":"Are brain waves the next unlock for physical AI？","summary":"Encord正与Zander Labs合作，通过头戴设备测量操作员脑电波来推断其心理状态，为机器人模型生成更优质的训练数据。Encord机器人学习主管指出，物理AI的核心瓶颈是真实世界训练数据的极度稀缺。目前该试验旨在构建初始脑波标记数据集，评估其对模型性能的提升效果。","source":"TechCrunch：AI（RSS）","sourceUrl":"https://techcrunch.com/2026/07/26/are-brain-waves-the-next-unlock-for-physical-ai","aiHotUrl":"https://aihot.virxact.com/items/cms2hjqr600zgro3ftsbeg7vq","publishedAt":"2026-07-27T00:19:14.000Z","category":"技巧观点","score":62,"selected":false,"articleBody":["The frontier of physical AI is a Jenga game in a warehouse in San Leandro, California.","That warehouse is occupied by Encord：https://encord.com/, a company that builds data tooling used to train AI models. Andrew Ceja is a pilot—the company’s term for its robotic trainers—and he’s carefully pulling wooden blocks from a tottering tower while wearing a headset with a camera that tracks what he sees. That alone is fairly common for collecting robot training data, but this headset includes sensors that measure his brain waves as he carefully disassembles the block tower.","Encord is one of a small but growing number of startups betting that the next real constraint on humanoid and warehouse robotics won’t be model architecture but instead the sheer scarcity of real-world physical training data. Rather than just helping robotics companies manage the data they have, Encord is building a business around manufacturing the data they don’t.","The brain wave headset Ceja is wearing was built by Zander Labs：https://www.zanderlabs.com/, a German neuroscience startup that’s betting measuring brain activity — to deduce mental states like error, intent and surprise — can create a more useful data set to train models. Encord’s work with Zander is currently a trial run; Encord says the goal is to build an initial brain wave-tagged data set, run it through customer robotics models, and evaluate whether it actually improves performance before deciding whether to scale it up.","Lucas Gehrke, a Zander neuroscientist supervising the work, says that the amount of brain activity used at any point during a given task offers clues for model builders trying to figure out when they need to deploy their highest-effort models.","This is the “bleeding edge” of the effort to solve the robotics data bottleneck, according to Vineeth Velmurugan, Encord’s head of robot learning. A veteran of OpenAI’s robot lab and Berkshire Grey, the warehouse automation firm, Velmurugan joined Encord to build the company’s internal data-creation team.","Encord was founded to help companies building machine-vision applications annotate data and evaluate models. As their customers—Velmurugan says they work with many leading robotics firms but that he’s not authorized to name them—began to apply end-to-end learning to robotic manipulation tasks, executives realized they would have to produce training data themselves, rather than simply manage it. “The data simply does not exist,” Velmurugan said.","The bet that generative AI can do for robots what it’s done for chatbots keeps running into this same wall. LLMs were built on the text of the entire internet, and more. Finding the same raw materials to teach neural networks about physical manipulation is challenging: self-driving car companies collect it themselves, but that’s hard to scale. Training from video can work, but it lacks the fidelity of real world data. Velmurugan says it will take a data set something like five times the size of YouTube’s video corpus to break through—a scale that helps explain why data-generation itself has become a business and not just a research problem.","Companies building robot brains are now turning to two main sources: “Egocentric” video collected by workers wearing cameras, often augmented with additional camera angles and other metrics, and collecting data from robots：https://techcrunch.com/2026/06/17/collecting-robot-training-data-is-dirty-unglamorous-work-some-ai-labs-are-already-paying-xdof-to-do-it/ operated remotely. Encord does both, drawing egocentric data from several factories around the globe, and using its San Leandro facility to experiment with new modalities, like brain waves, or collect data sets around specific skills for fine-tuning.","When TechCrunch visited, pilots were using leader-follower rigs — paired robotic arms, one controlled directly by a human operator and one that mimics its movements —to create data about tasks like pouring coffee from a pot into mugs (very sloshy) and stacking poker chips. “Every humanoid company has asked us for these pieces,” Velmurugan says.","Storage racks held cartons of fake flowers in vases, books, plastic vegetables, kitty litter trays and scoops, bags and bundles of wires, the stock in trade for training manipulators for household tasks.","At one of these stations, another pilot, Sofia Infante, maneuvers robotic arms to plug and unplug ethernet cables from the back of a server—the kind of work data center operators would love to be automated, if only robots could manipulate them with the required precision. Taking a spin behind the controls, I was able to see why that’s still out of reach: Pincers are far less dextrous than human fingers and lack the degrees of freedom we take for granted in our arms.","Another new data modality that Encord is developing uses a set of sensors strapped to the forearm to detect electrical signals in muscles. Video taken of human hands manipulating objects typically doesn’t capture the entire hand, but Velmurugan hopes to build a 3D depiction of where the hand is at any time based on the arm sensors, creating a more robust understanding for models.","Encord’s data sets are annotated with physical descriptions of what each video contains—”right hand tightens bolt”—to aid LLM-based models in understanding what is happening. Velmurugan estimates this kind of dense annotation is worth 100 times as much as “junky ego data” for training specific tasks, and it only costs 20 times more to produce, which is a good trade, on paper.","But “20 times more” is still real money, and that’s the catch: scraping text off the internet, the way LLM makers built their models by pulling from Stack Overflow and the rest of the web, cost frontier labs next to nothing. Generating physical training data does not, and that’s the limit of the physical-AI-as-LLM comparison. This kind of data has to be manufactured, not just collected, and that changes the economics of building these models.","Velmurugan says that progress is being made—with Encord’s visibility into programs across the industry, he’s able to see start-ups and frontier labs alike figure out what works and what doesn’t to improve physical AI models. That vantage point—sitting between many robotics companies at once—is also part of Encord’s pitch. It can spot which data techniques are gaining traction industry-wide before any single customer can.","That will keep the dozen or so pilots at Encord’s facility busy. Both Infante and Ceja are part of a burgeoning workforce developing the building blocks for neural networks; they previously worked at Scale, another AI data annotation firm, before joining Encord.","Ceja had worked at a waste management company where his interest in technology found him in charge of keeping a robotic trash sorter in good working order. Now, as the Jenga tower topples, he says he enjoys the challenge of solving training tasks for robots —”It’s something new every day!”","When you purchase through links in our articles, we may earn a small commission：https://techcrunch.com/techcrunch-affiliate-monetization-standards/. This doesn’t affect our editorial independence.","Scale faster. Grow your portfolio. Gain practical expertise. No matter your goal, Disrupt can empower you. Save up to $330 toda y!","SpaceX launches new V3 Starlink satellites but suffers another booster failure：https://techcrunch.com/2026/07/24/spacex-launches-new-v3-starlink-satellites-but-suffers-another-booster-failure/ Sean O'Kane：https://techcrunch.com/author/sean-okane/","US accuses American of allegedly wiping his phone using a ‘duress’ password during border search：https://techcrunch.com/2026/07/24/us-accuses-american-of-allegedly-wiping-his-phone-using-a-duress-password-during-border-search/ Zack Whittaker：https://techcrunch.com/author/zack-whittaker/","Anduril reportedly in talks to raise funding at $100B valuation, more than 3x last year’s mark：https://techcrunch.com/2026/07/24/anduril-reportedly-in-talks-to-raise-funding-at-100b-valuation-more-than-3x-last-years-mark/ Ram Iyer：https://techcrunch.com/author/ram-iyer/","Tesla’s robotaxis are moving in reverse：https://techcrunch.com/2026/07/23/teslas-robotaxis-are-moving-in-reverse/ Sean O'Kane：https://techcrunch.com/author/sean-okane/","Jack Dorsey is taking on Slack with Buzz, a group chat platform for teams and their AI agents：https://techcrunch.com/2026/07/21/jack-dorsey-is-taking-on-slack-with-buzz-a-group-chat-platform-for-teams-and-their-ai-agents/ Amanda Silberling：https://techcrunch.com/author/amanda-silberling/","Light made a flip phone — it’s colorful and it’s cheap：https://techcrunch.com/2026/07/21/light-is-modernizing-the-flip-phone-with-light-flip/ Amanda Silberling：https://techcrunch.com/author/amanda-silberling/","AI music generator Suno breach affects 55M users, per Have I Been Pwned：https://techcrunch.com/2026/07/21/ai-music-generator-suno-breach-affects-55m-users-per-have-i-been-pwned/ Zack Whittaker：https://techcrunch.com/author/zack-whittaker/"],"articleImages":[{"sourceUrl":"https://techcrunch.com/wp-content/uploads/2025/04/Disrupt2026-Color.png","alt":"Event Logo","afterParagraph":18,"url":"/media/articles/cms2hjqr600zgro3ftsbeg7vq/d1d06f6f97361f52.webp"}],"mediaStatus":"ok","articleBodyZh":["物理人工智能的前沿是在加利福尼亚州圣利安卓的一个仓库里进行的积木游戏。","这个仓库由Encord：https://encord.com/ 占用，该公司构建用于训练人工智能模型的数据工具。Andrew Ceja 是一名试飞员——公司对其机器人培训师的称呼——他戴着一个带有摄像头的头戴设备，摄像头可以跟踪他所看到的内容，同时小心地从摇摇欲坠的积木塔中抽出木块。仅这一点对于收集机器人训练数据来说已经相当常见，但这个头戴设备还包括测量他在仔细拆卸积木塔时脑电波的传感器。","Encord 是创业公司中数量虽少但正在增长的一类公司，他们赌定下一个对类人和仓库机器人真正的限制不会是模型架构，而是现实世界中物理训练数据的极度稀缺。Encord 不仅仅帮助机器人公司管理现有数据，还围绕制造他们尚未拥有的数据建立业务。","Ceja 所戴的脑电波头戴设备由 Zander Labs：https://www.zanderlabs.com/ 制造，这是一家德国神经科学创业公司，他们赌测量脑活动——以推断如错误、意图和惊讶等心理状态——可以创建更有用的数据集来训练模型。Encord 与 Zander 的合作目前处于试运行阶段；Encord 表示目标是建立一个初步的脑电波标注数据集，将其应用于客户的机器人模型中，并评估其是否真正提高性能，然后再决定是否扩大规模。","监督这项工作的 Zander 神经科学家 Lucas Gehrke 表示，在执行特定任务的任何时刻所使用的脑活动量，为模型构建者提供了线索，帮助他们判断何时需要部署最费力的模型。","Encord 的机器人学习主管 Vineeth Velmurugan 表示，这正是解决机器人数据瓶颈的“尖端前沿”。Velmurugan 曾在 OpenAI 的机器人实验室和仓库自动化公司 Berkshire Grey 拥有丰富经验，他加入 Encord，旨在建立公司内部的数据创建团队。","Encord 的建立是为了帮助公司在构建机器视觉应用时进行数据标注和模型评估。Velmurugan 表示，他们的客户中有许多领先的机器人公司，但他无权透露其名称——随着这些客户开始将端到端学习应用于机器人操作任务，公司的高管们意识到，他们必须自己生成训练数据，而不仅仅是管理数据。Velmurugan 说：“这些数据根本不存在。”","生成式人工智能能为机器人做到它对聊天机器人所做的事情的这一赌注，一直在碰到同样的障碍。大型语言模型是基于整个互联网乃至更多文本构建的。寻找同样的原始材料以教神经网络进行物理操作是具有挑战性的：自动驾驶汽车公司自己收集数据，但这种方式难以扩展。视频训练可能有效，但缺乏真实世界数据的精确度。Velmurugan 表示，要突破这一点，需要的数据集大约是 YouTube 视频语料库的五倍规模——这一规模也解释了为什么数据生成已经成为一种商业，而不仅仅是研究问题。","现在，构建机器人大脑的公司主要依赖两个来源：“以自我为中心”的视频，由佩戴摄像机的工人收集，通常还会辅以其他角度的摄像机和其他指标，以及远程操作的机器人收集的数据：https://techcrunch.com/2026/06/17/collecting-robot-training-data-is-dirty-unglamorous-work-some-ai-labs-are-already-paying-xdof-to-do-it/。Encord 两者兼顾，从全球多个工厂收集以自我为中心的数据，并利用其位于圣利安德罗的设施尝试新的模态，如脑电波，或收集围绕特定技能的训练数据集以进行微调。","TechCrunch 访问时，试验人员使用“领袖-跟随”装置——成对的机械臂，一只由人工操作直接控制，另一只模仿其动作——来创建关于任务的数据，例如将咖啡从壶倒入杯子（非常晃动）和叠放纸牌筹码。Velmurugan 说：“每个仿人公司都向我们要过这些部分。”","储物架上放着放在花瓶里的假花箱、书籍、塑料蔬菜、猫砂盘及铲子、各种电线袋和捆绑物，这是训练家庭任务操作机器人的库存材料。","在其中一个站点，另一名飞行员索菲娅·因凡特操作机器人手臂插拔服务器背后的以太网电缆——这是数据中心操作员希望自动化的工作，如果机器人能以所需的精度操作它们的话。亲自尝试后，我能够理解为什么这仍然无法实现：钳子远没有人类手指灵活，也缺乏我们在手臂中理所当然拥有的自由度。","恩科德正在开发的另一种新数据模式是使用一组绑在前臂上的传感器来检测肌肉中的电信号。拍摄人手操作物体的视频通常无法捕捉整个手，但Velmurugan希望根据手臂传感器创建手在任意时间位置的3D描绘，从而为模型建立更稳健的理解。","恩科德的数据集会带有对每个视频内容的物理描述的标注——“右手拧紧螺栓”——以帮助基于大型语言模型（LLM）的模型理解正在发生的事情。Velmurugan估计，这种密集标注在训练特定任务方面的价值是“垃圾自我数据”的100倍，而生产成本仅高20倍，从理论上看这是一个不错的权衡。","但“高20倍”仍是实实在在的钱，这就是问题所在：像LLM制造商那样从互联网上抓取文本，从Stack Overflow和其他网站获取数据，花费几乎为零。而生成物理训练数据则不然，这正是物理AI与LLM比较的限制。这类数据必须被制造，而不仅仅是收集，这改变了构建这些模型的经济学。","Velmurugan表示，进展正在取得——通过恩科德对整个行业项目的可见性，他能够看到初创公司和前沿实验室都在探索什么有效、什么无效，以提升物理AI模型。这种视角——同时站在多家机器人公司之间——也成为了恩科德的卖点之一。它可以在任何单个客户之前，发现哪些数据技术正在行业范围内获得认可。","这将使 Encord 设施的十几名飞行员保持忙碌。Infante 和 Ceja 都是不断发展的劳动力的一部分，他们正在开发神经网络的构建模块；在加入 Encord 之前，他们曾在另一家 AI 数据标注公司 Scale 工作。","Ceja 曾在一家废物管理公司工作，当时他对技术的兴趣使他负责保持一个机器人垃圾分拣机的良好运行状态。现在，当积木塔倒塌时，他说他喜欢解决机器人训练任务的挑战——“每天都有新鲜事！”","当您通过我们文章中的链接购买时，我们可能会赚取一小部分佣金：https://techcrunch.com/techcrunch-affiliate-monetization-standards/。这不会影响我们的编辑独立性。","更快地扩展。扩大您的作品集。获得实用经验。无论您的目标是什么，Disrupt 都能赋能您。今日最高可节省 $330！","SpaceX 发射了新的 V3 Starlink 卫星，但再次遭遇助推器失败：https://techcrunch.com/2026/07/24/spacex-launches-new-v3-starlink-satellites-but-suffers-another-booster-failure/ Sean O'Kane：https://techcrunch.com/author/sean-okane/","美国指控一名美国人在边境检查期间据称使用“胁迫”密码清除手机：https://techcrunch.com/2026/07/24/us-accuses-american-of-allegedly-wiping-his-phone-using-a-duress-password-during-border-search/ Zack Whittaker：https://techcrunch.com/author/zack-whittaker/","据报道，Anduril 正在洽谈以 1000 亿美元估值融资，超过去年的 3 倍：https://techcrunch.com/2026/07/24/anduril-reportedly-in-talks-to-raise-funding-at-100b-valuation-more-than-3x-last-years-mark/ Ram Iyer：https://techcrunch.com/author/ram-iyer/","特斯拉的机器人出租车正在倒退行驶：https://techcrunch.com/2026/07/23/teslas-robotaxis-are-moving-in-reverse/ Sean O'Kane：https://techcrunch.com/author/sean-okane/","Jack Dorsey 正在用 Buzz 挑战 Slack，这是一款面向团队及其 AI 代理的群聊平台：https://techcrunch.com/2026/07/21/jack-dorsey-is-taking-on-slack-with-buzz-a-group-chat-platform-for-teams-and-their-ai-agents/ Amanda Silberling：https://techcrunch.com/author/amanda-silberling/","Light 造了一款翻盖手机——它色彩丰富而且价格便宜：https://techcrunch.com/2026/07/21/light-is-modernizing-the-flip-phone-with-light-flip/ Amanda Silberling：https://techcrunch.com/author/amanda-silberling/","AI 音乐生成器 Suno 数据泄露影响 5500 万用户，据 Have I Been Pwned 报告：https://techcrunch.com/2026/07/21/ai-music-generator-suno-breach-affects-55m-users-per-have-i-been-pwned/ Zack Whittaker：https://techcrunch.com/author/zack-whittaker/"],"translationStatus":"translated","bodyOrigin":"source-page","editorial":{"summary":"Aioga 编辑摘要：Encord正与Zander Labs合作，通过头戴设备测量操作员脑电波来推断其心理状态，为机器人模型生成更优质的训练数据。 Aioga 将其归入「技巧观点」方向，重点关注它对真实使用和行业竞争的影响。","background":"背景分析：实践类内容的价值在于是否能被复现、是否有明确边界，以及它能否转化为稳定的开发或工作流方法。","viewpoint":"Aioga 判断：这条动态更适合作为行业观察信号，当前信息足以建立线索，但不足以推导长期结论。","implications":"影响分析：对相关团队而言，短期应先核对来源、可用范围和实际成本，再判断是否值得接入或跟进。","nextStep":"后续观察：继续观察示例是否可复现、工具版本变化、社区反馈和实际成本。","evidenceRefs":["title","summary","articleBody"],"confidence":"medium","status":"published","aiGenerated":false,"autoApproved":true,"generatedBy":"rule-safe-fallback","generatedAt":"2026-07-28T05:28:54.638Z","sourceHash":"7b24ed6583d89b00","validation":{"passed":true,"mode":"rule-safe-fallback","checks":["schema","length","source-attribution","no-html"]}},"tags":["技巧观点","TechCrunch：AI（RSS）"],"translations":{"zh-CN":{"title":"脑电波能否成为物理AI的下一个突破口？","summary":"Encord正与Zander Labs合作，通过头戴设备测量操作员脑电波来推断其心理状态，为机器人模型生成更优质的训练数据。Encord机器人学习主管指出，物理AI的核心瓶颈是真实世界训练数据的极度稀缺。目前该试验旨在构建初始脑波标记数据集，评估其对模型性能的提升效果。","category":"技巧观点","source":"TechCrunch","aggregationSource":"TechCrunch：AI（RSS）","pageTitle":"脑电波能否成为物理AI的下一个突破口？ - Aioga AI资讯","description":"Encord正与Zander Labs合作，通过头戴设备测量操作员脑电波来推断其心理状态，为机器人模型生成更优质的训练数据。Encord机器人学习主管指出，物理AI的核心瓶颈是真实世界训练数据的极度稀缺。目前该试验旨在构建初始脑波标记数据集，评估其对模型性能的提升效果。","url":"https://www.aioga.com/news/cms2hjqr600zgro3ftsbeg7vq/"},"en":{"title":"Could brainwaves become the next breakthrough for physical AI?","summary":"Encord is collaborating with Zander Labs to infer operators' mental states by measuring their EEG through head-worn devices, generating higher quality training data for robot models. The head of robot learning at Encord pointed out that the core bottleneck of physical AI is the extreme scarcity of real-world training data. Currently, this experiment aims to build an initial EEG-labeled dataset to evaluate its effect on improving model performance.","category":"Insights","source":"TechCrunch：AI（RSS）","aggregationSource":"TechCrunch：AI（RSS）","pageTitle":"Could brainwaves become the next breakthrough for physical AI? - Aioga AI News","description":"Encord is collaborating with Zander Labs to infer operators' mental states by measuring their EEG through head-worn devices, generating higher quality training data for robot model...","url":"https://www.aioga.com/en/news/cms2hjqr600zgro3ftsbeg7vq/","contentTranslated":true,"sourceHash":"b0f20e988b7f080b","translatedAt":"2026-07-27T00:42:30.939Z"},"ja":{"title":"脳波は物理AIの次の突破口になれるのか？","summary":"EncordはZander Labsと協力し、ヘッドセットを通じてオペレーターの脳波を測定し、その心理状態を推定することで、ロボットモデルのより高品質なトレーニングデータを生成しています。Encordのロボット学習責任者は、物理AIの核心的なボトルネックは現実世界のトレーニングデータが極端に不足していることだと指摘しています。現在、この実験は初期の脳波ラベルデータセットを構築し、それがモデルの性能向上にどの程度寄与するかを評価することを目的としています。","category":"ヒントと視点","source":"TechCrunch：AI（RSS）","aggregationSource":"TechCrunch：AI（RSS）","pageTitle":"脳波は物理AIの次の突破口になれるのか？ - Aioga AIニュース","description":"EncordはZander Labsと協力し、ヘッドセットを通じてオペレーターの脳波を測定し、その心理状態を推定することで、ロボットモデルのより高品質なトレーニングデータを生成しています。Encordのロボット学習責任者は、物理AIの核心的なボトルネックは現実世界のトレーニングデータが極端に不足していることだと指摘しています。現在、この実験は初期の脳波ラベル...","url":"https://www.aioga.com/ja/news/cms2hjqr600zgro3ftsbeg7vq/","contentTranslated":true,"sourceHash":"b0f20e988b7f080b","translatedAt":"2026-07-27T00:42:39.883Z"},"ko":{"title":"뇌파가 물리적 AI의 다음 돌파구가 될 수 있을까?","summary":"Encord는 Zander Labs와 협력하여 헤드셋 장치를 통해 운영자의 뇌파를 측정하고 심리 상태를 추론하여 로봇 모델을 위한 더 고품질의 학습 데이터를 생성하고 있습니다. Encord 로봇 학습 책임자는 물리적 AI의 핵심 병목은 실제 세계 학습 데이터의 극심한 부족이라고 지적했습니다. 현재 이 실험은 초기 뇌파 라벨 데이터셋을 구축하고 이것이 모델 성능 향상에 미치는 효과를 평가하는 것을 목표로 하고 있습니다.","category":"인사이트","source":"TechCrunch：AI（RSS）","aggregationSource":"TechCrunch：AI（RSS）","pageTitle":"뇌파가 물리적 AI의 다음 돌파구가 될 수 있을까? - Aioga AI 뉴스","description":"Encord는 Zander Labs와 협력하여 헤드셋 장치를 통해 운영자의 뇌파를 측정하고 심리 상태를 추론하여 로봇 모델을 위한 더 고품질의 학습 데이터를 생성하고 있습니다. Encord 로봇 학습 책임자는 물리적 AI의 핵심 병목은 실제 세계 학습 데이터의 극심한 부족이라고 지적했습니다. 현재 이 실험은 초기 뇌파 라...","url":"https://www.aioga.com/ko/news/cms2hjqr600zgro3ftsbeg7vq/","contentTranslated":true,"sourceHash":"b0f20e988b7f080b","translatedAt":"2026-07-27T00:43:26.528Z"},"es":{"title":"¿Puede la onda cerebral convertirse en el próximo punto de avance de la IA física?","summary":"Encord está colaborando con Zander Labs para inferir el estado mental de los operadores midiendo sus ondas cerebrales a través de dispositivos de casco, con el fin de generar datos de entrenamiento de mayor calidad para los modelos de robots. El director de aprendizaje robótico de Encord señaló que el principal cuello de botella de la IA física es la extrema escasez de datos de entrenamiento del mundo real. Actualmente, este experimento tiene como objetivo construir un conjunto de datos inicial marcado con ondas cerebrales y evaluar su efecto en la mejora del rendimiento del modelo.","category":"Ideas","source":"TechCrunch：AI（RSS）","aggregationSource":"TechCrunch：AI（RSS）","pageTitle":"¿Puede la onda cerebral convertirse en el próximo punto de avance de la IA física? - Aioga Noticias de IA","description":"Encord está colaborando con Zander Labs para inferir el estado mental de los operadores midiendo sus ondas cerebrales a través de dispositivos de casco, con el fin de generar datos...","url":"https://www.aioga.com/es/news/cms2hjqr600zgro3ftsbeg7vq/","contentTranslated":true,"sourceHash":"b0f20e988b7f080b","translatedAt":"2026-07-27T00:43:25.078Z"},"fr":{"title":"Les ondes cérébrales peuvent-elles devenir la prochaine percée de l'IA physique ?","summary":"Encord collabore avec Zander Labs pour mesurer les ondes cérébrales des opérateurs via un appareil porté sur la tête afin de déduire leur état psychologique, générant ainsi des données d'entraînement de meilleure qualité pour les modèles de robots. Le responsable de l'apprentissage robotique chez Encord a souligné que le principal goulot d'étranglement de l'IA physique est la rareté extrême des données d'entraînement issues du monde réel. Actuellement, cette expérience vise à construire un jeu de données initial de marquage des ondes cérébrales et à évaluer son effet sur l'amélioration des performances du modèle.","category":"Analyses","source":"TechCrunch：AI（RSS）","aggregationSource":"TechCrunch：AI（RSS）","pageTitle":"Les ondes cérébrales peuvent-elles devenir la prochaine percée de l'IA physique ? - Aioga Actualités IA","description":"Encord collabore avec Zander Labs pour mesurer les ondes cérébrales des opérateurs via un appareil porté sur la tête afin de déduire leur état psychologique, générant ainsi des don...","url":"https://www.aioga.com/fr/news/cms2hjqr600zgro3ftsbeg7vq/","contentTranslated":true,"sourceHash":"b0f20e988b7f080b","translatedAt":"2026-07-27T00:44:11.327Z"},"de":{"title":"Können Gehirnwellen der nächste Durchbruch für physische KI werden?","summary":"Encord arbeitet mit Zander Labs zusammen, um den psychischen Zustand von Bedienern durch die Messung von Gehirnwellen mittels eines Headsets zu ermitteln und so qualitativ hochwertigere Trainingsdaten für Robotermodelle zu erzeugen. Der Leiter der Robotik-Lernabteilung bei Encord weist darauf hin, dass der zentrale Engpass bei physischer KI die extreme Knappheit an realen Trainingsdaten ist. Derzeit zielt das Experiment darauf ab, einen anfänglichen Datensatz mit Gehirnwellen-Markierungen zu erstellen und dessen Einfluss auf die Modellleistung zu bewerten.","category":"技巧观点","source":"TechCrunch：AI（RSS）","aggregationSource":"TechCrunch：AI（RSS）","pageTitle":"Können Gehirnwellen der nächste Durchbruch für physische KI werden? - Aioga KI-News","description":"Encord arbeitet mit Zander Labs zusammen, um den psychischen Zustand von Bedienern durch die Messung von Gehirnwellen mittels eines Headsets zu ermitteln und so qualitativ hochwert...","url":"https://www.aioga.com/de/news/cms2hjqr600zgro3ftsbeg7vq/","contentTranslated":true,"sourceHash":"b0f20e988b7f080b","translatedAt":"2026-07-27T00:44:08.348Z"},"pt-BR":{"title":"As ondas cerebrais podem se tornar o próximo ponto de avanço da IA física?","summary":"A Encord está colaborando com a Zander Labs para inferir o estado mental dos operadores medindo suas ondas cerebrais por meio de dispositivos de headset, com o objetivo de gerar dados de treinamento de melhor qualidade para modelos de robô. O chefe de aprendizado de robótica da Encord apontou que o principal gargalo da IA física é a extrema escassez de dados de treinamento do mundo real. Atualmente, o experimento visa construir um conjunto inicial de dados de marcação de ondas cerebrais para avaliar seu efeito na melhoria do desempenho do modelo.","category":"技巧观点","source":"TechCrunch：AI（RSS）","aggregationSource":"TechCrunch：AI（RSS）","pageTitle":"As ondas cerebrais podem se tornar o próximo ponto de avanço da IA física? - Aioga Notícias de IA","description":"A Encord está colaborando com a Zander Labs para inferir o estado mental dos operadores medindo suas ondas cerebrais por meio de dispositivos de headset, com o objetivo de gerar da...","url":"https://www.aioga.com/pt-BR/news/cms2hjqr600zgro3ftsbeg7vq/","contentTranslated":true,"sourceHash":"b0f20e988b7f080b","translatedAt":"2026-07-27T00:44:52.250Z"},"ru":{"title":"Могут ли мозговые волны стать следующим прорывом в физическом ИИ?","summary":"Encord сотрудничает с Zander Labs, измеряя мозговые волны операторов через носимое устройство, чтобы выводить их психическое состояние и создавать более качественные обучающие данные для моделей роботов. Руководитель по обучению роботов в Encord отметил, что основным узким местом физического ИИ является крайне ограниченное количество реальных обучающих данных. В настоящее время этот эксперимент направлен на создание начального набора данных с пометками мозговых волн и оценку его влияния на производительность моделей.","category":"技巧观点","source":"TechCrunch：AI（RSS）","aggregationSource":"TechCrunch：AI（RSS）","pageTitle":"Могут ли мозговые волны стать следующим прорывом в физическом ИИ? - Aioga Новости ИИ","description":"Encord сотрудничает с Zander Labs, измеряя мозговые волны операторов через носимое устройство, чтобы выводить их психическое состояние и создавать более качественные обучающие данн...","url":"https://www.aioga.com/ru/news/cms2hjqr600zgro3ftsbeg7vq/","contentTranslated":true,"sourceHash":"b0f20e988b7f080b","translatedAt":"2026-07-27T00:45:06.892Z"},"ar":{"title":"هل يمكن لموجات الدماغ أن تصبح الاختراق التالي للذكاء الاصطناعي الفيزيائي؟","summary":"Encord تتعاون مع Zander Labs لقياس موجات دماغ المشغلين من خلال أجهزة الرأس لاستنتاج حالتهم النفسية، بهدف توليد بيانات تدريب أفضل لنماذج الروبوتات. وأشار رئيس قسم تعلم الروبوتات في Encord إلى أن الاختناق الأساسي في الذكاء الاصطناعي الفيزيائي هو ندرة شديدة في بيانات التدريب الواقعية. حاليًا، تهدف هذه التجربة إلى بناء مجموعة بيانات أولية موسومة لموجات الدماغ لتقييم تأثيرها على تحسين أداء النموذج.","category":"技巧观点","source":"TechCrunch：AI（RSS）","aggregationSource":"TechCrunch：AI（RSS）","pageTitle":"هل يمكن لموجات الدماغ أن تصبح الاختراق التالي للذكاء الاصطناعي الفيزيائي؟ - Aioga أخبار الذكاء الاصطناعي","description":"Encord تتعاون مع Zander Labs لقياس موجات دماغ المشغلين من خلال أجهزة الرأس لاستنتاج حالتهم النفسية، بهدف توليد بيانات تدريب أفضل لنماذج الروبوتات. وأشار رئيس قسم تعلم الروبوتات في...","url":"https://www.aioga.com/ar/news/cms2hjqr600zgro3ftsbeg7vq/","contentTranslated":true,"sourceHash":"b0f20e988b7f080b","translatedAt":"2026-07-27T00:45:55.657Z"},"hi":{"title":"क्या मस्तिष्क की विद्युत तरंगें भौतिक एआई के लिए अगला突破 बिंदु बन सकती हैं?","summary":"एनकॉर्ड हेडसेट के माध्यम से ब्रेनवेव्स को मापकर, रोबोट मॉडल के लिए उच्च गुणवत्ता वाले प्रशिक्षण डेटा उत्पन्न करके ऑपरेटरों की मानसिक स्थिति का अनुमान लगाने के लिए ज़ेंडर लैब्स के साथ सहयोग कर रहा है। एनकॉर्ड के रोबोटिक्स लर्निंग के प्रमुख ने बताया कि भौतिक एआई की मुख्य अड़चन वास्तविक दुनिया के प्रशिक्षण डेटा की अत्यधिक कमी है। वर्तमान में, इस परीक्षण का उद्देश्य मॉडल प्रदर्शन में सुधार पर इसके प्रभाव का मूल्यांकन करने के लिए एक प्रारंभिक ब्रेनवेव लेबल डेटासेट का निर्माण करना है।","category":"技巧观点","source":"TechCrunch：AI（RSS）","aggregationSource":"TechCrunch：AI（RSS）","pageTitle":"क्या मस्तिष्क की विद्युत तरंगें भौतिक एआई के लिए अगला突破 बिंदु बन सकती हैं? - Aioga AI समाचार","description":"एनकॉर्ड हेडसेट के माध्यम से ब्रेनवेव्स को मापकर, रोबोट मॉडल के लिए उच्च गुणवत्ता वाले प्रशिक्षण डेटा उत्पन्न करके ऑपरेटरों की मानसिक स्थिति का अनुमान लगाने के लिए ज़ेंडर लैब्स के स...","url":"https://www.aioga.com/hi/news/cms2hjqr600zgro3ftsbeg7vq/","contentTranslated":true,"sourceHash":"b0f20e988b7f080b","translatedAt":"2026-07-27T00:46:06.020Z"},"it":{"title":"Le onde cerebrali possono diventare la prossima svolta per l'AI fisica?","summary":"Encord sta collaborando con Zander Labs per misurare le onde cerebrali degli operatori tramite dispositivi indossabili, al fine di dedurre il loro stato mentale e generare dati di addestramento di migliore qualità per i modelli robotici. Il responsabile dell'apprendimento robotico di Encord ha indicato che il principale collo di bottiglia dell'IA fisica è la grave scarsità di dati di addestramento nel mondo reale. Attualmente, questo esperimento mira a costruire un set di dati iniziale di segnali cerebrali etichettati e valutare il suo effetto sul miglioramento delle prestazioni dei modelli.","category":"技巧观点","source":"TechCrunch：AI（RSS）","aggregationSource":"TechCrunch：AI（RSS）","pageTitle":"Le onde cerebrali possono diventare la prossima svolta per l'AI fisica? - Aioga Notizie IA","description":"Encord sta collaborando con Zander Labs per misurare le onde cerebrali degli operatori tramite dispositivi indossabili, al fine di dedurre il loro stato mentale e generare dati di...","url":"https://www.aioga.com/it/news/cms2hjqr600zgro3ftsbeg7vq/","contentTranslated":true,"sourceHash":"b0f20e988b7f080b","translatedAt":"2026-07-27T00:46:49.354Z"},"nl":{"title":"Kan hersenactiviteit de volgende doorbraak voor fysieke AI worden?","summary":"Encord werkt samen met Zander Labs om met behulp van een hoofdbandapparaat de hersengolven van operators te meten om hun psychologische toestand af te leiden, en zo kwalitatief betere trainingsgegevens voor het robotmodel te genereren. De hoofd robotica-leringsspecialist van Encord wijst erop dat de kernbeperking van fysieke AI de extreme schaarste aan trainingsgegevens uit de echte wereld is. Momenteel is dit experiment gericht op het opbouwen van een initiële dataset van hersengolfmarkeringen om het effect ervan op de modelprestaties te beoordelen.","category":"技巧观点","source":"TechCrunch：AI（RSS）","aggregationSource":"TechCrunch：AI（RSS）","pageTitle":"Kan hersenactiviteit de volgende doorbraak voor fysieke AI worden? - Aioga AI-nieuws","description":"Encord werkt samen met Zander Labs om met behulp van een hoofdbandapparaat de hersengolven van operators te meten om hun psychologische toestand af te leiden, en zo kwalitatief bet...","url":"https://www.aioga.com/nl/news/cms2hjqr600zgro3ftsbeg7vq/","contentTranslated":true,"sourceHash":"b0f20e988b7f080b","translatedAt":"2026-07-27T00:46:49.221Z"},"tr":{"title":"Beyin dalgaları fiziksel yapay zekâ için bir sonraki kırılma noktası olabilir mi?","summary":"Encord, Zander Labs ile iş birliği yaparak, operatörün zihinsel durumunu tahmin etmek için başa takılan cihazlarla beyin dalgalarını ölçüyor ve robot modelleri için daha kaliteli eğitim verileri üretiyor. Encord'un robotik öğrenme sorumlusu, fiziksel AI'nın temel darboğazının gerçek dünya eğitim verilerinin son derece kıt olduğunu belirtti. Şu anda, bu denemenin amacı başlangıç beyin dalgası etiketleme veri setini oluşturmak ve bunun model performansı üzerindeki iyileştirici etkisini değerlendirmektir.","category":"技巧观点","source":"TechCrunch：AI（RSS）","aggregationSource":"TechCrunch：AI（RSS）","pageTitle":"Beyin dalgaları fiziksel yapay zekâ için bir sonraki kırılma noktası olabilir mi? - Aioga AI Haberleri","description":"Encord, Zander Labs ile iş birliği yaparak, operatörün zihinsel durumunu tahmin etmek için başa takılan cihazlarla beyin dalgalarını ölçüyor ve robot modelleri için daha kaliteli e...","url":"https://www.aioga.com/tr/news/cms2hjqr600zgro3ftsbeg7vq/","contentTranslated":true,"sourceHash":"b0f20e988b7f080b","translatedAt":"2026-07-27T00:47:37.089Z"},"vi":{"title":"Sóng não có thể trở thành bước đột phá tiếp theo của AI vật lý không?","summary":"Encord đang hợp tác với Zander Labs để đo sóng não của người vận hành thông qua thiết bị đội đầu nhằm suy đoán trạng thái tâm lý của họ, từ đó tạo ra dữ liệu huấn luyện chất lượng cao hơn cho các mô hình robot. Giám đốc học tập robot của Encord chỉ ra rằng nút thắt quan trọng của AI vật lý là dữ liệu huấn luyện thực tế cực kỳ khan hiếm. Hiện tại, thử nghiệm này nhằm xây dựng bộ dữ liệu đánh dấu sóng não ban đầu và đánh giá hiệu quả của nó đối với hiệu suất của mô hình.","category":"技巧观点","source":"TechCrunch：AI（RSS）","aggregationSource":"TechCrunch：AI（RSS）","pageTitle":"Sóng não có thể trở thành bước đột phá tiếp theo của AI vật lý không? - Tin tức AI Aioga","description":"Encord đang hợp tác với Zander Labs để đo sóng não của người vận hành thông qua thiết bị đội đầu nhằm suy đoán trạng thái tâm lý của họ, từ đó tạo ra dữ liệu huấn luyện chất lượng...","url":"https://www.aioga.com/vi/news/cms2hjqr600zgro3ftsbeg7vq/","contentTranslated":true,"sourceHash":"b0f20e988b7f080b","translatedAt":"2026-07-27T00:47:38.385Z"},"id":{"title":"Apakah gelombang otak bisa menjadi terobosan berikutnya bagi AI fisik?","summary":"Encord sedang bekerja sama dengan Zander Labs untuk mengukur gelombang otak operator melalui perangkat yang dipakai di kepala guna menyimpulkan keadaan psikologis mereka, sehingga menghasilkan data pelatihan yang lebih berkualitas untuk model robot. Kepala Pembelajaran Robotika Encord menunjukkan bahwa hambatan utama AI fisik adalah kelangkaan data pelatihan dunia nyata. Saat ini, percobaan ini bertujuan untuk membangun dataset awal penanda gelombang otak dan mengevaluasi efeknya terhadap peningkatan kinerja model.","category":"技巧观点","source":"TechCrunch：AI（RSS）","aggregationSource":"TechCrunch：AI（RSS）","pageTitle":"Apakah gelombang otak bisa menjadi terobosan berikutnya bagi AI fisik? - Berita AI Aioga","description":"Encord sedang bekerja sama dengan Zander Labs untuk mengukur gelombang otak operator melalui perangkat yang dipakai di kepala guna menyimpulkan keadaan psikologis mereka, sehingga...","url":"https://www.aioga.com/id/news/cms2hjqr600zgro3ftsbeg7vq/","contentTranslated":true,"sourceHash":"b0f20e988b7f080b","translatedAt":"2026-07-27T00:48:21.988Z"},"th":{"title":"คลื่นสมองสามารถเป็นจุดเริ่มต้นของความก้าวหน้าครั้งต่อไปของ AI ทางกายภาพหรือไม่?","summary":"Encord กำลังร่วมมือกับ Zander Labs โดยใช้ชุดอุปกรณ์สวมศีรษะในการวัดคลื่นสมองของผู้ปฏิบัติงานเพื่อสรุปสภาพจิตใจของพวกเขา และสร้างข้อมูลการฝึกอบรมที่มีคุณภาพสูงขึ้นสำหรับโมเดลหุ่นยนต์ ผู้บริหารด้านการเรียนรู้ของหุ่นยนต์ Encord ชี้ว่าคอขวดหลักของ AI ทางกายภาพคือความขาดแคลนข้อมูลการฝึกอบรมในโลกจริงอย่างมาก ปัจจุบันการทดลองนี้มีเป้าหมายในการสร้างชุดข้อมูลสัญญาณสมองเริ่มต้นเพื่อประเมินผลกระทบต่อประสิทธิภาพของโมเดล","category":"技巧观点","source":"TechCrunch：AI（RSS）","aggregationSource":"TechCrunch：AI（RSS）","pageTitle":"คลื่นสมองสามารถเป็นจุดเริ่มต้นของความก้าวหน้าครั้งต่อไปของ AI ทางกายภาพหรือไม่? - ข่าว AI Aioga","description":"Encord กำลังร่วมมือกับ Zander Labs โดยใช้ชุดอุปกรณ์สวมศีรษะในการวัดคลื่นสมองของผู้ปฏิบัติงานเพื่อสรุปสภาพจิตใจของพวกเขา และสร้างข้อมูลการฝึกอบรมที่มีคุณภาพสูงขึ้นสำหรับโมเดลหุ่นยนต...","url":"https://www.aioga.com/th/news/cms2hjqr600zgro3ftsbeg7vq/","contentTranslated":true,"sourceHash":"b0f20e988b7f080b","translatedAt":"2026-07-27T00:48:36.045Z"},"pl":{"title":"Czy fale mózgowe mogą stać się kolejnym przełomem w fizycznej sztucznej inteligencji?","summary":"Encord współpracuje z Zander Labs, aby za pomocą urządzeń noszonych na głowie mierzyć fale mózgowe operatorów w celu wnioskowania o ich stanie psychicznym i generowania wyższej jakości danych treningowych dla modeli robotów. Kierownik ds. uczenia robotów w Encord wskazał, że kluczową barierą dla fizycznej sztucznej inteligencji jest skrajny niedobór danych treningowych z rzeczywistego świata. Obecnie eksperyment ma na celu stworzenie początkowego zbioru danych oznaczonych falami mózgowymi oraz ocenę jego wpływu na wydajność modelu.","category":"技巧观点","source":"TechCrunch：AI（RSS）","aggregationSource":"TechCrunch：AI（RSS）","pageTitle":"Czy fale mózgowe mogą stać się kolejnym przełomem w fizycznej sztucznej inteligencji? - Aioga Wiadomości AI","description":"Encord współpracuje z Zander Labs, aby za pomocą urządzeń noszonych na głowie mierzyć fale mózgowe operatorów w celu wnioskowania o ich stanie psychicznym i generowania wyższej jak...","url":"https://www.aioga.com/pl/news/cms2hjqr600zgro3ftsbeg7vq/","contentTranslated":true,"sourceHash":"b0f20e988b7f080b","translatedAt":"2026-07-27T00:49:20.222Z"}}}}