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, ...

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 ...

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

You’ve likely already felt the digital sting of “surveillance pricing.” It might look like an airline advertising a specific fare bundle because a customer’s loyalty-program data suggests they’re ...

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

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 ...

Neural Texture Compression (NTC) optimized memory usage for either neural rendering or high-resolution texture and game data.

A team of researchers led by California Institute of Technology computer scientist and mathematician Babak Hassibi says it has created a large language model that radically compresses its size without ...

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

We have seen the future of AI via Large Language Models. And it's smaller than you think. That much was clear in 2025, when we first saw China's DeepSeek — a slimmer, lighter LLM that required way ...

Share Market Highlights - Find here all the highlights related to Sensex, Nifty, BSE, NSE, share prices and Indian stock ...

It works like magic, but won't renew your old 8GB card's lease on life ...