Most problems in science don’t need Einsteins to solve them. In particular, understanding biological systems is intrinsically complex and will need a vast amount of experimentation. With an almost limitless scientific potential and at a lower cost, artificial intelligence may hold the key to faster discoveries. Computers will soon offer potential for much larger quantities of science through automation. The introduction of automation into manufacturing didn’t initially produce better quality goods, it produced goods much more cheaply. Each step in the computer chess program is nothing special, but the result is. Speakers: Ross D. King