Nvidia's new VRAM trick only works on cards expensive enough to not need it ...

The emergence of layer-by-layer robotic depalletizing in Walmart DCs is exposing a new failure mode, sustained horizontal ...

Learn how to compress images and JPEG files to reduce file size, speed up your website and maintain image quality.

IPMX attention is now centered on how devices interact across vendors, how systems are configured and controlled, and how ...

A research team has developed a Gaussian Splatting processing platform that supports end-to-end processing from data acquisition to multi-platform rendering. Their framework provides a solid ...

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 ...

Training a large artificial intelligence model is expensive, not just in dollars, but in time, energy, and computational ...

The study examines detection systems, cryptographic provenance frameworks, watermarking techniques, adversarial resilience, and governance mechanisms, presenting deepfake mitigation as a complex, ...

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

NVIDIA showcases Neural Texture Compression at GTC 2026, cutting VRAM usage by up to 85% with real-time AI reconstruction.

The big picture: Google has developed three AI compression algorithms – TurboQuant, PolarQuant, and Quantized Johnson-Lindenstrauss – designed to significantly reduce the memory footprint of large ...

Add Decrypt as your preferred source to see more of our stories on Google. Google said its TurboQuant algorithm can cut a major AI memory bottleneck by at least sixfold with no accuracy loss during ...