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 ...
Abstract: In the CORSA project [1] we demonstrated an AI method for near-lossless image compression for Sentinel-2 data using the concept of vector quantized auto-encoders. As part of the MOVIQ ...
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 ...
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 ...
Move over em-dash, there’s a new AI giveaway. It’s hard to deny that AI is everywhere these days, and it’s no surprise that it’s making its way into classrooms. Since sneaky students are figuring out ...
When using a credit card abroad, you may be asked by the merchant if you want to pay in U.S. dollars or the local currency. While you might think it makes sense to pay in USD, you'll pay a dynamic ...
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 ...
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 ...
If Google’s AI researchers had a sense of humor, they would have called TurboQuant, the new, ultra-efficient AI memory compression algorithm announced Tuesday, “Pied Piper” — or, at least that’s what ...
Even if you don’t know much about the inner workings of generative AI models, you probably know they need a lot of memory. Hence, it is currently almost impossible to buy a measly stick of RAM without ...