R. Weerasekera

FQTree slashes hardware costs for boosted decision trees by up to 57% without sacrificing accuracy, revolutionizing their deployment in latency-sensitive applications.

LLMs can now generate chip layouts from natural language descriptions, achieving significant performance improvements over traditional designs.