A new analysis from the AI Infrastructure Insight series argues that faster GPUs alone cannot deliver AI performance, citing a UC Berkeley, ICSI, and LBNL paper showing that over the past 20 years, pe…
A study by researchers from Seoul National University, University of California, Berkeley, ICSI, LBNL, and University of Texas at Austin finds that Diffusion Language Models (DLMs) achieve higher arit…
UC Berkeley, ICSI, and LBNL researchers introduced ARBITRAGE, a step-level speculative decoding framework that uses a lightweight router to dynamically choose between draft and target model steps, red…
Research, research and development (R&D), and product engineering are fundamentally different jobs with distinct goals, success criteria, and personnel, not simply the same work performed at different…