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

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

SK Hynix, Samsung and Micron shares fell as investors fear fewer memory chips may be required in the future.

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.

Nvidia researchers have introduced a new technique that dramatically reduces how much memory large language models need to track conversation history — by as much as 20x — without modifying the model ...

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

What is Google TurboQuant, how does it work, what results has it delivered, and why does it matter? A deep look at TurboQuant, PolarQuant, QJL, KV cache compression, and AI performance.

SanDisk Corporation (NASDAQ:SNDK) fell 5.7%, Micron Technology (NASDAQ:MU) dropped 3%, Western Digital (NASDAQ:WDC) declined ...

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 ...

Two broad categories of compression are currently in use. In lossy compression, data is intentionally discarded. As a result, the decompression of the data doesn't exactly match the original data.

Efficient data compression and transmission are crucial in space missions due to restricted resources, such as bandwidth and storage capacity. This requires efficient data-compression methods that ...