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

AI has successfully been applied in many areas of science, advancing technologies like weather prediction and protein folding ...

The original version of this story appeared in Quanta Magazine. Here’s a test for infants: Show them a glass of water on a desk. Hide it behind a wooden board. Now move the board toward the glass. If ...

Imad is a senior reporter covering Google and internet culture. Hailing from Texas, Imad started his journalism career in 2013 and has amassed bylines with The New York Times, The Washington Post, ...

Heavy machinery is entering a new phase where hydraulics, electronics and embedded software are engineered as one integrated system. Using model-based systems engineering (MBSE) as a framework to ...

Buzz Hays wants to make sure his colleagues in Hollywood understand the pros and cons of generative AI, in particular, fine-tuning models. “The thing that got us through this project is a process that ...

Statistical models predict stock trends using historical data and mathematical equations. Common statistical models include regression, time series, and risk assessment tools. Effective use depends on ...

The curious minds at ColdFusion explain quantum computers in simple terms. This matters because understanding these complex machines shows their potential to revolutionize industries, science, and ...

One of the coolest things about generative AI models — both large language models (LLMs) and diffusion-based image generators — is that they are "non-deterministic." That is, despite their reputation ...

Over the last few months, many AI boosters have been increasingly interested in generative video models and their seeming ability to show at least limited emergent knowledge of the physical properties ...