AMD 以 82 亿美元收购 World Labs
[AINews] AMD buys World Labs for $8.2B, as Atlas solves sparse reconstruction problem for robotics, design and more
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导读
AMD 以 82 亿美元收购 World Labs。李飞飞在博客中说明，World Labs 自 2024 年成立以来构建了图像、视频与空间重建的模型训练团队，并通过收购 SceniX 推进机器人仿真能力。其近期发布的 Atlas 模型可从二维图像预测新视角，在稀疏重建这一计算机视觉长期难题上超过专用模型，潜在应用覆盖机器人强化学习环境、治疗与娱乐场景生成以及地产、设计与建筑的真实世界重建。
推荐理由
AMD 以 82 亿美元收购 World Labs，材料同时交代了交易金额、Atlas 模型的能力定位与业务动机，读者可据此判断空间智能赛道的整合方向。
主体与标签
AMDWorld Labs#行业动态#具身智能#多模态#数据/训练
正文
The official post is shy, but since AMD is public, we know the purchase price . We covered them less than a year ago:
Fei Fei has a lovely reflection blogpost that hints at the main reasons:
Since our founding in 2024, World Labs has built leading AI spatial intelligence capabilities for everything from creative work to design . We built the world leading model training team for images, video and spatial reconstruction . And, with the acquisition of SceniX , we’re building towards an industry leading capability for robotics simulation . Recently we released Atlas , a first of its kind omni model architecture that solves a key outstanding problem in spatial intelligence: new camera view prediction . Like LLMs can predict the next token from a line of text, Atlas, trained from scratch, can predict the next view from an input of 2D images, outperforming state of the art results even by specialized models. It has essentially solved a long standing problem in computer vision called sparse reconstruction, by combining generative models with multiview geometry . This has direct and far reaching consequences: from design and engineering to science and robotics . We’ve seen incredible interest in Atlas across many domains: RL environments for robotics; scene generation for therapy and entertainment; and real world reconstruction for real estate, design and construction, and so much more to come .
See also our Claude Code pod out today:
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