Top AI researchers like Fei-Fei Li and Yann LeCun are developing world models, which don't rely solely on language.
The next step in the evolution of generative AI technology will rely on ‘world models’ to improve physical outcomes in the real world.
Humanoid robots have been promised by tech evangelists for decades. We’ve had extraordinary hardware – Boston Dynamics’ Atlas ...
Abstract: Spatial understanding is a crucial capability that enables robots to perceive their surroundings, reason about their environment, and interact with it meaningfully. In modern robotics, these ...
Step aside, LLMs. The next big step for AI is learning, reconstructing and simulating the dynamics of the real world.
MIT and Google DeepMind researchers have created an AI-driven robot that can turn ideas into physical objects with only ...
Scientists are building experimental computers from living human brain cells and testing how they learn and adapt.
While Tesla struggles shake off allegations of remote operation for its robots, CATL is putting its new "Moz" humanoid robots ...
From expressive robot faces to factory deployments, these seven stories shaped how 2025 will be remembered in humanoid ...
Robust.AI co-founder Rodney Brooks, a pioneering roboticist and co-creator of the widely selling Roomba robot vacuum, ...
A group of engineering students at Texas A&M is experimenting with incorporating AI into emergency response through an ...
A new open-source device records whale clicks with context, giving AI the data it needs to search for structure in sperm ...
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