Modern neural networks, with billions of parameters, are so overparameterized that they can "overfit" even random, ...

Layered metasurfaces trained as optical neural networks enable multifunctional holograms and security features, integrating neural computation principles with nanostructured optics to create a ...

Mistral AI's Devstral 2 is an open-weights vibe coding model built to rival the best proprietary systems - SiliconANGLE ...

Zencoder believes its agent-agnostic approach gives it a crucial advantage over much bigger rivals such as OpenAI, Anthropic ...

Xiangyi Li saw this gap during his work at Tesla and in research projects across universities. Rather than accept the inefficiency, he founded BenchFlow, a platform designed to make AI model ...

Nvidia emphasizes greater transparency in its Nemotron 3 models, especially with respect to training data that enterprises care about.

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

As artificial intelligence (AI) continues to revolutionize the economy, courts are increasingly being asked to determine ...

Overview: Keras remains one of the most intuitive and developer-friendly frameworks for building deep learning models, making it perfect for learners and profes ...

With the popularity of AI coding tools rising among some software developers, their adoption has begun to touch every aspect ...

As someone who owns more than fifteen volumes from the MIT Press Essential Knowledge series, I approach each new release with both interest and caution: the series often delivers thoughtful, ...

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.