Hardware fragmentation remains a persistent bottleneck for deep learning engineers seeking consistent performance.

By allowing models to actively update their weights during inference, Test-Time Training (TTT) creates a "compressed memory" ...

・Verses AI’s new robotics model performs complex household tasks like tidying, grocery prep, and table setting without any pre-training, unlike deep learning models that require billions of training ...

The open-source software giant Red Hat Inc. is strengthening the case for its platforms to become the foundation of enterprises’ artificial intelligence systems with a host of new features announced ...

Deep learning modeling that incorporates physical knowledge is currently a hot topic, and a number of excellent techniques have emerged. The most well-known one is the physics-informed neural networks ...

The race to build bigger AI models is giving way to a more urgent contest over where and how those models actually run. Nvidia's multibillion dollar move on Groq has crystallized a shift that has been ...