Machine learning techniques that make use of tensor networks could manipulate data more efficiently and help open the black ...

GPUs, born to push pixels, evolved into the engine of the deep learning revolution and now sit at the center of the AI ...

Rather than thinking that adolescence ends at 18, groundbreaking brain research has shown that critical brain developmental ...

To prevent jitter between frames, Kuta explains that D-ID uses cross-frame attention and motion-latent smoothing, techniques that maintain expression continuity across time. Developers can even ...

In this distributed environment, connectivity becomes foundational—a layer of invisible fabric that ties everything together.

Not only has Google's Gemini 3 model been trained on the company's own TPUs, but I've been using a MacBook Pro with Apple's ...

Nvidia (NASDAQ: NVDA) stock has tumbled 23% from the record high it reached in early January. The decline began when large language models developed by DeepSeek raised questions about whether U.S.

The Virtual Brain Inference (VBI) toolkit enables efficient, accurate, and scalable Bayesian inference over whole-brain network models, improving parameter estimation, uncertainty quantification, and ...

How does the brain manage to catch the drift of a mumbled sentence or a flat, robotic voice? A new study led by researchers ...

Foundation models are AI systems trained on vast amounts of data — often trillions of individual data points — and they are capable of learning new ways of modeling information and performing a range ...

This correspondence between brain state and brain responsiveness (statedependent responses) is outlined at different scales from the cellular and circuit level, to the mesoscale and macroscale level.