A team of software engineers at the University of California, working with one colleague from Soochow University and another from LuxiTec, has developed a way to run AI language models without using matrix multiplication. The team has published a paper on the arXiv preprint server describing their new approach and how well it has worked during testing.
Software engineers develop a way to run AI language models without matrix multiplication
Tech News
-
Free Dark Web Monitoring Stamps the $17 Million Credentials Markets
-
Smart buildings: What happens to our free will when tech makes choices for us?
-
Screenshots have generated new forms of storytelling, from Twitter fan fiction to desktop film
-
Darknet markets generate millions in revenue selling stolen personal data, supply chain study finds
-
Privacy violations undermine the trustworthiness of the Tim Hortons brand
-
Why Tesla’s Autopilot crashes spurred the feds to investigate driver-assist technologies – and what that means for the future of self-driving cars