SoundHound has also seen success in the automotive industry, securing partnerships with Stellenatis (which has its voice assistants installed in several of its European brands) and Lucid Motors, which partnered with SoundHound for its Lucid Assistant launched in January. Generative artificial intelligence (AI) is taking Wall Street by storm -- minting plenty of millionaires in the process. The technology promises to allow machines to replace human labor in tasks that require knowledge, memory, and communica ...

点击下方 卡片 ，关注" 自动驾驶之心 "公众号 戳我-> 领取 自动驾驶近15个 方向 学习 路线 不少双非的同学都很迷茫。。。 实验室参与的工作有些落伍，现在无论是自动驾驶还是具身智能公司都需要实力比较强、背景比较好的同学。 同时呢，现在也有很多机器人的公司处于快速发展的阶段，很多初创公司都融了比较可观的钱，未来几年问题不 大，而且培养是全方面的。 工作肯定是会苦一些，但技术栈这块确实实打实的可以学习到很多，也建议你看看，像深圳、杭州我们最近也都 线下拜访了很多机器人公司，具身智能毋庸置疑是最前沿的方向了，但确实传统的机器人仍然是产品的主线。 加油~ 最后欢迎大家加入 知识星球 ，硬核资料在星球置顶： 加入后可以获取自动驾驶视频课程、硬件及代码学习资 料。业内最全的全栈学习路线图，独家业内招聘信息分享~ 我们目标是未来3年内打造一个万人聚集的智能驾驶& 具身智能 社区，这里也非常欢迎优秀的同学加入我们（目 前已经有华为天才少年、自驾领域研究前沿的多为大佬加入）。我们和多家业内公司搭建了学术 + 产品+ 招聘完 整的桥梁和链路，同时内部在教研板块也基本形成了闭环（课程 + 硬件+问答）。社区里面既能看到最新 ...

If you found it insightful, reshare it with your network.Find me → @_avichawlaEvery day, I share tutorials and insights on DS, ML, LLMs, and RAGs.Avi Chawla (@_avichawla):MCP & A2A (Agent2Agent) protocol, clearly explained (with visuals): ...

点击下方 卡片 ，关注" 自动驾驶之心 "公众号 戳我-> 领取 自动驾驶近15个 方向 学习 路线 只需要三条轨迹，就能取得 96.8% 的成功率？视觉干扰、任务组合等泛化场景都能轻松拿捏？或许， 3D VLA 操作新范式已经到来。 当前，接收 2D 图像进行 Next Action Token 预测的「2D VLA」模型已经展现出了实现通用机器人 操作的潜力；同时，接受 3D 信息作为输入，并以下一时刻的关键帧作为输出的「3D 操作策略」已被 证明拥有极高的数据效率（≈10 条操作轨迹）。 那么，直觉上来讲，一个好的「3D VLA」模型应该能够综合以上的优点，兼具 efficient 和 effective 的特点。然而，当前 3D VLA 的模型设计并未实现上述期待。 为了解决上述问题，中科院自动化所谭铁牛团队联合字节跳动 Seed 推出 BridgeVLA，展示了一种全 新的 3D VLA 范式，实现了 模 型 能 力 与 数 据 效 率 的 同 步 飞 跃 ， 并 斩 获 了 CVPR 2025 GRAIL workshop 的 COLOSSEUM Challenge 冠军。 目前代码与数据已经全面 ...

Adam D'Angelo, co-founder and CEO of Quora, shares insights from building Poe—the AI platform that gives users access to multiple language models and agents under one subscription. He reveals surprising patterns in consumer AI usage, explains how Poe's bot creators are earning millions annually, and discusses why reasoning models are driving growth. D'Angelo also explores the unique challenges of building in AI's rapidly changing landscape, where planning cycles have shrunk from years to just two months. Wa ...

[Music] Thanks for coming. Thanks for having me here. Um I'm Tongima. I'm um I was uh the CEO and co-founder for HAI.We just recently got acquired by MongoDB. I'm also teaching at Stanford as well. So um this is about rag which is the main focus of forage AI uh the startup who is focusing on how to make retrieval better.So um um but I will just generally talk about you know rag and and we'll touch on some of the products we make as well very quickly. So I guess why we are uh doing rag or anything like that ...

[Music] welcome. Thank you for joining my session this morning. I was thinking that I was in some kind of niche space where people would not be interested, but I'm curious to hear, you know, what brought you to to this session.Anyway, I'm I'm Jesus Barasa. I'm the I'm the field CTO for AI with NEOJ and uh and yeah, for the next like uh 14ish minutes, I'm going to be diving a bit deeper into this uh really powerful combination which is knowledge graphs and uh and large language models to build AI application ...

[Music] Hello everybody. First things first, I actually have to apologize. I uh I was coming into the fair today. I was coming up the escalator to registration because this is my first day at the fair. came for my talk and I saw for the first time this big banner that's said at AI World's Fair.It's like a place for builders, not yappers. And I was a builder once, but I'm definitely a yapper now. Um, so so bear with me, but I think we'll have fun.Um, on that note, I don't love yapping by myself. I love yappi ...

编辑丨王多鱼 排版丨水成文 2022 年底， ChatGPT 横空出世，这个能够学习并理解人类自然语言的 AI 聊天机器人震惊了全世界，并 掀起了大语言模型 （LLM） 浪潮。 而现在，人工智能公司 InstaDeep 将这种 AI 的这一强大能力带到了生命科学领域，打造了一款名为 ChatNT （ Chat N ucleotide T ransformer ） 的 多模态对话智能体 ， 能像生物学家一样，"读懂" DNA、RNA 和蛋白质的序列信息，并用自然语言 （英语） 与你对话，直接回答你关于这些生物分子的各 种专业问题。 该研究以 ： A multimodal conversational agent for DNA, RNA and protein tasks 为题 ，于 2025 年 6 月 6 日 发表在了 Nature 子刊 Nature Machine Intelligence 上，该论文的作者还包括来自 mRNA 疫苗巨 头 BioNTech 的研究人员。 撰文丨王聪 欢迎进群分享/讨论 生物医学领域 AI 智能体 研究进展 扫码后进群 生物学研究的痛点：模型太多、门槛太高 在基因组学、转 ...

6 Simple Body Language Tricks That Close High Ticket Deals https://t.co/OGXjcL7xbI https://t.co/5uoVMJoRtV ...