Step aside, LLMs. The next big step for AI is learning, reconstructing and simulating the dynamics of the real world.

Gary Marcus, professor emeritus at NYU, explains the differences between large language models and "world models" — and why ...

The video game business is heading toward a big change as new artificial intelligence systems learn to build interactive 3D ...

Forbes contributors publish independent expert analyses and insights. Dr. Lance B. Eliot is a world-renowned AI scientist and consultant. In today’s column, I identify how the use of world models is ...

You're currently following this author! Want to unfollow? Unsubscribe via the link in your email. Follow Lakshmi Varanasi Every time Lakshmi publishes a story, you’ll get an alert straight to your ...

While large language models (LLMs) have mastered text (and other modalities to some extent), they lack the physical "common sense" to operate in dynamic, real-world environments. This has limited the ...

In recent years, we’ve become used to seeing text, pictures, videos and even computer code generated by AI. But what if it could go a step further and create entire worlds? Well, for developers ...

While no one has figured out how to make money from generative artificial intelligence, that hasn’t stopped Google DeepMind from pushing the boundaries of what’s possible with a big pile of inference.

Join the event trusted by enterprise leaders for nearly two decades. VB Transform brings together the people building real enterprise AI strategy. Learn more Nvidia has launched its Cosmos world ...

What if your code could think beyond syntax, anticipating bugs, predicting outcomes, and even reasoning through complex problems? Enter Meta’s Code World Model (CWM-32B), a innovative leap in ...