Google released its TurboQuant AI memory compression algorithm, which is designed to reduce the memory requirements of large AI models. The announcement has raised new questions about long term AI ...

A new compression technique from Google Research threatens to shrink the memory footprint of large AI models so dramatically ...

Intel is advancing texture compression techniques with its newly introduced Texture Set Neural Compression (TSNC) technology, ...

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 ...

A sharp selloff in memory names following the debut of Google’s TurboQuant technology is creating an opportunity for investors, according to Bank of America.

Forward-looking: It's no secret that generative AI demands staggering computational power and memory bandwidth, making it a costly endeavor that only the wealthiest players can afford to compete in.

A technical paper titled “HMComp: Extending Near-Memory Capacity using Compression in Hybrid Memory” was published by researchers at Chalmers University of Technology and ZeroPoint Technologies.

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 ...

Nvidia researchers have proposed a neural compression method for material textures that, according to results reported in ...

Even as AI progress is surprising one and all, companies are coming up with ever more improvements which could accelerate things even ...

Google has recently revealed TurboQuant, a compression algorithm that reduces the memory footprint of large language models ...

Compression Techniques Lossless compression techniques have been available since the early 1950s. In 1952, David Huffman introduced Huffman coding, a technique based on a coding tree derived from a ...