Gunn is part of a research team at UC Berkeley that has developed an undetectable watermark for generative image models. The ...

The intermittent nature of solar energy poses challenges to grid stability, making accurate ultra-short-term solar irradiance ...

In food drying applications, machine learning has demonstrated strong capability in predicting drying rates, moisture ...

By modeling the single-trial electroencephalogram of participants performing perceptual decisions, and building on predictions from two century-old psychological laws, we estimate the times of ...

That moment reshaped the industry. If neural networks could see, what else could they learn? The answer, as Jensen Huang ...

Artificial intelligence is colliding with a hard physical limit: the energy and heat of conventional chips. As models scale ...

We’ve entered a new era of creative expression, where anyone with an internet connection can generate images and videos from text descriptions. But there’s a frustrating gap between using AI ...

Decisions by the Trump White House – particularly ones dissuading the world’s top AI talent from going to America – have ...

Check our latest work DeepCache, a training-free and almost loessless method for diffusion model acceleration. It can be viewed as a special pruning technique that dynamically drops deep layers and ...

Meta said the videos breached its policies on manipulated media and deceptive practices, adding that enforcement teams had ...

Predictive and dynamic AI models that learn the rules and transformations of complex environments, physical or simulated. They are already used across several fields and promise to transform the way ...