Video compression has become an essential technology to meet the burgeoning demand for high‐resolution content while maintaining manageable file sizes and transmission speeds. Recent advances in ...

Google developed a new compression algorithm that will reduce the memory needed for AI models. If this breakthrough performs ...

Google's new TurboQuant algorithm could slash AI working memory by 6x, but don't expect it to fix the broader RAM shortage ...

Google unveils TurboQuant, PolarQuant and more to cut LLM/vector search memory use, pressuring MU, WDC, STX & SNDK.

The biggest memory burden for LLMs is the key-value cache, which stores conversational context as users interact with AI ...

Google's TurboQuant algorithm compresses LLM key-value caches to 3 bits with no accuracy loss. Memory stocks fell within ...

Memory stocks fell Wednesday despite broader technology sector strength, with shares dropping after Google unveiled ...

Google released its TurboQuant AI memory compression algorithm, which is designed to reduce the memory requirements of large ...

Within 24 hours of the release, community members began porting the algorithm to popular local AI libraries like MLX for ...

Sponsored Feature: Computers are taking over our daily tasks. For big tech, this means an increase in IT workloads and an expansion of advanced use cases in areas like artificial intelligence and ...

Compression algorithms are not really new, so I've looked cautiously at the work of U.S. computer scientists claiming that 'they have developed technology that doubles the usable memory on cell phones ...

With people on the internet insisting that M1 Macs run well with minimal RAM (and the standard configs being minimal), I was wondering if anyone has a detailed explanation on how memory compression on ...