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 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 ...

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 ...

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 ...

Add Yahoo as a preferred source to see more of our stories on Google. On March 24, 2026 Amir Zandieh and Vahab Mirrokni from Google Research published an article on TurboQuant. TurboQuant is a ...

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

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

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 ...