Researchers from the University of Edinburgh and NVIDIA have introduced a new method that helps large language models reason more deeply without increasing their size or energy use. The work, ...

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

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 ...

Intel is developing a new technology that can significantly reduce the size of game textures, helping save storage space and ...

Enterprise AI applications that handle large documents or long-horizon tasks face a severe memory bottleneck. As the context grows longer, so does the KV cache, the area where the model’s working ...

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.

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 ...

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

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 ...

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

Neural Texture Compression (NTC) optimized memory usage for either neural rendering or high-resolution texture and game 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 ...