The future of science is automation
How AI-powered scientists could surpass the best human scientists by the middle of the century
Ross has joint positions at the University of Cambridge, and Chalmers Institute of Technology, Sweden. He is one of the most experienced machine learning researchers in the UK. His main research interest is the interface between computer science and science. He originated the idea of a ‘Robot Scientist’: integrating AI and laboratory robotics to physically implement closed-loop scientific discovery. His Robot Scientist ‘Adam’ was the first machine to autonomously discover scientific knowledge.
His Robot Scientist ‘Eve’ is currently searching for drugs against neglected tropical diseases, and cancer. This research has been published in top scientific journals, Science, Nature, etc. and has received wide publicity. His other core research interest is DNA computing. He developed the first nondeterministic universal Turing machine, and is now working on ‘DNA supremacy’: a DNA computer that can solve larger NP complete problems that conventional or quantum computers. He is also very interested in computational economics and aesthetics.
How AI-powered scientists could surpass the best human scientists by the middle of the century
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