Wall Street's mispricing of its AI infrastructure transition. MU's shift to 5-year Strategic Customer Agreements and HBM4 ...

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

Google researchers have published a new quantization technique called TurboQuant that compresses the key-value (KV) cache in ...

Forget the parameter race. Google's TurboQuant research compresses AI memory by 6x with zero accuracy loss. It's not ...

Memory-augmented Large Language Models (LLMs) have demonstrated remarkable capability for complex and long-horizon embodied planning. By keeping track of past experiences and environmental states, ...

Memory 'There is no scenario where memory prices correct in the second half' of 2027, according to new market research Memory Phison CEO says 'both money and inventory are insufficient' as NAND prices ...

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 ...

A new AI-based method reconstructs spatial information about where immune cells were originally located in an organ, even after these cells have been removed from the tissue and analyzed individually.

Researchers at Nvidia have developed a technique that can reduce the memory costs of large language model reasoning by up to eight times. Their technique, called dynamic memory sparsification (DMS), ...

Medical device company Advita Ortho has received a U.S. patent for an AI-enabled surgical planning framework. The algorithm helps surgeons prioritize the variables in joint replacement procedures, ...

Rohan Naahar is a Weekend News Writer for Collider. From Francois Ozon to David Fincher, he'll watch anything once. He has covered everything from Marvel to the Oscars, and Marvel at the Oscars. He ...