Google Research unveiled TurboQuant, a novel quantization algorithm that compresses large language models’ Key-Value caches ...

Micron Technology's memory chips remain in high demand, and despite some shifts in the tech sector environment, that's ...

Large language models (LLMs) aren’t actually giant computer brains. Instead, they are massive vector spaces in which the ...

Artificial intelligence model compression startup Refiant AI said today it has raised $5 million in seed funding from VoLo Earth Ventures to try to put an end to the “arms race” that has ignited a ...

NVIDIA researchers have proposed a neural compression method for material textures that enables random-access lookups and ...

To improve data center efficiency, multiple storage devices are often pooled together over a network so many applications can share them. But even with pooling, significant device capacity remains ...

Instead of navigating the obstacles to conduct polls with human respondents, pollsters are running A.I. simulations instead.

Black holes are mysterious objects, and one theory posits that our universe exists inside of one. It sounds strange, but ...

Computational biologists developed a simple way to test a language model’s understanding of proteins. The method holds potential to improve a range of language models in science.

This paper presents the Zero Shrinkage Theory (0o), an original theory by Nobuki Fujimoto that transcends Shannon's information-theoretic compression limit not by violating it, but by shifting the ...

Within 24 hours of the release, community members began porting the algorithm to popular local AI libraries like MLX for Apple Silicon and llama.cpp.