Google researchers use deep reinforcement learning for optimizing chip design April 24, 2020 by admin Tweet Using a trained deep reinforcement learning model, a team at Google calculated the optimal chip placement on an IC—a problem that would have taken several weeks for human experts to solve. Read more… Neowin Related Posts:Google says its AI is much faster and better chip…Python Deep Learning - Third Edition ($39.99 Value)…Deep Learning for Beginners ($27.99 Value) - free…Pay What You Want for this AI and Deep Learning Bundle10 Machine Learning Blueprints You Should Know for…