We've put a number of recovery boots to the test, to see which ones are effective at alleviating DOMS and keep you feeling fresh between training sessions.

Nvidia researchers have proposed a neural network-based method for compressing material textures that, in results reported in a preprint, could cut VRAM use by up to 85% for certain material-texture ...

NVIDIA researchers have proposed a neural compression method for material textures that enables random-access lookups and real-time decompression on GPUs, directly targeting the growing strain that ...

Google Research unveiled TurboQuant, a novel quantization algorithm that compresses large language models’ Key-Value caches ...

TSNC is being positioned as a practical path for developers who already ship BC-compressed assets and want to squeeze more data into the same storage, bandwidth, ...

Intel and Nvidia showed off their respective AI-powered texture-compression technologies over the weekend, demonstrating impressive reductions in VRAM use while maintaining texture quality, or even ...

Researchers have developed a dynamic range compression dual-domain attention network for enhancing tunnel images under extreme exposure conditions, a problem that continues to challenge transportation ...

Intel TSNC brings neural texture compression with up to 18x reduction, faster decoding, and flexible SDK support for modern GPU workflows.

A licensed attorney with nearly a decade of experience in content production, Valerie Catalano knows how to help readers digest complicated information about the law in an approachable way. Her ...

Expand your knowledge of the full lifecycle of software development – from design and testing to deployment and maintenance – with a hands-on, 30-credit online Master of Science (MS) in Computer ...

This manuscript presents important findings that challenge traditional models of speech processing by demonstrating that theta-gamma phase-amplitude coupling in the auditory cortex is primarily a ...