The potential for solving problems in climate, oceans, the biosphere, and the biology of disease is vast, writes Celine Herweijer. The question is what we build them for.

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 examine the use of agentic world models ...

World models, also known as world simulators, are being touted by some as the next big thing in AI. World models take inspiration from the mental models of the world that humans develop naturally. Our ...

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. As someone who spent almost a decade at Google building on-device AI and multimodal sensing ...

Step aside, LLMs. The next big step for AI is learning, reconstructing and simulating the dynamics of the real world. For researchers, that question has real-world consequences, from how robots ...

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 ...

The new DeepMind team will build AI models that can simulate the physical world and advance AGI development. The new DeepMind team will build AI models that can simulate the physical world and advance ...

Interactive world model ABot-World-0 from Alibaba's Amap sustains stable generation for 24 hours on a single GPU — a ...

Instead of just predicting words, world models actually learn how the physical world works, which is the "common sense" AI needs to finally reach AGI. To many people, AI manifests one of sci-fi’s ...