Researchers led by Takaki Hatsui at the RIKEN SPring-8 Center (RSC) in Japan and collaborators have developed a new approach ...

Quantum computing is advancing faster than expected, forcing Bitcoin and the broader crypto industry to prepare for a post-quantum future.

Ubuntu: gcc (versions 7.5 to 14.2) and clang (versions 6.0 to 19), gcc 14.2 (32-bit) MacOS: Apple LLVM version 15.0.0 Windows: mingw32-gcc 14.2.0 (32-bit) and mingw64-gcc 14.2.0 (64-bit) ...

Google engineers have developed a method to compress artificial intelligence (AI) data so that it requires up to six times less working memory to function. With the new system, called TurboQuant, AI ...

Google's new TurboQuant algorithm drastically cuts AI model memory needs, impacting memory chip stocks like SK Hynix and Kioxia. This innovation targets the AI's 'memory' cache, compressing it ...

The world of electronics is a very interesting place right now, mostly due to the ongoing slew of price hikes and changes we're seeing around the industry. Most of these price adjustments are being ...

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 ...

Several memory chip stocks on Wall Street declined on Wednesday after Google announced a new compression algorithm designed to reduce the amount of memory needed to run large language models and ...

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Google published a research blog post on Tuesday about a new compression algorithm for AI models. Within hours, memory stocks were falling. Micron dropped 3 per cent, Western Digital lost 4.7 per cent ...

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 ...