⚡ Breaking
Mancini sets his sights on France after…  ·  Croatia ‘not afraid’ of Spain, says Kovacic  ·  Frustrated Arsenal star sends clear message to…  ·  Infantino makes bigger cash pledge to Fifa…  ·  TE Terrance Ferguson likely to miss Week…  ·  'Abolish ICE' shirt gets fan kicked out…
Follow: Facebook Instagram Telegram WhatsApp
Advertisement
Home › World News ›AMD will acquire Fei-Fei Li’s World Labs for…

AMD will acquire Fei-Fei Li’s World Labs for $8.2 billion

· · 1 min read

Li, a Stanford computer science professor, is considered a pioneer of AI, particularly computer vision, for her role pioneering the ImageNet database and subsequent challenges. In 2024, Li founded World Labs to develop deep learning models with a more robust understanding of reality, arguing that true general intelligence required a grounding in physics and the ability to understand and reason about data beyond text.

Advertisement

In a post announcing the deal, Li described the partnership as the result of a desire to scale World Labs’ technical breakthroughs beyond the lab. “Now that we have tangible proof of the possibilities, we want to do everything we can to accelerate the future,” Li wrote in the post. “To do this requires scaling our efforts, widening our reach, and getting closer to the hardware.”

“World model” remains a loose term, encompassing everything from language models trained to understand visual inputs, to models capable of generating and sustaining a high-fidelity simulation of reality. World Labs’ first product, Marble, is pitched for creating entertainment experiences, but also for the ability to create simulated environments for robot training.

The acquisition is likely to help AMD compete with long-standing rival Nvidia in creating an ecosystem for AI-specific chips. While Nvidia already has a suite of open-weight world models like Cosmos, AMD has only offered text- and video-based models to the public.

Advertisement

World models are seen as vital in efforts to deploy generative AI models on robotic platforms, from autonomous vehicles to industrial robots and general-purpose humanoids. In particular, the dearth of useful data to train general purpose robots means that synthetic data from world models will be key to realizing the vision put forward by companies like Tesla and Figure.

The acqusition is expected to close before the end of the year, subject to regulatory approval.

Advertisement
Nairavoice
Contributor at NairaVoice.com.ng