Integrating AI into chip workflows is pushing companies to overhaul their data management strategies, shifting from passive storage to active, structured, and machine-readable systems. As training and ...
A small error-correction signal keeps compressed vectors accurate, enabling broader, more precise AI retrieval.
Google Research recently revealed TurboQuant, a compression algorithm that reduces the memory footprint of large language ...
Google’s TurboQuant has the internet joking about Pied Piper from HBO's "Silicon Valley." The compression algorithm promises ...
The biggest memory burden for LLMs is the key-value cache, which stores conversational context as users interact with AI ...
Ligand Pro, founded by Skoltech professors and a Skoltech Ph.D. student, has presented Matcha, an AI-powered molecular docking model that performs virtual drug screening 30 times faster than the large ...