Steve Lohr in the New York Times:
Relying on an experienced team of scientists and $200 million in initial funding, Lila has been developing an A.I. program trained on published and experimental data, as well as the scientific process and reasoning. The start-up then lets that A.I. software run experiments in automated, physical labs with a few scientists to assist.
Already, in projects demonstrating the technology, Lila’s A.I. has generated novel antibodies to fight disease and developed new materials for capturing carbon from the atmosphere. Lila turned those experiments into physical results in its lab within months, a process that most likely would take years with conventional research.
Experiments like Lila’s have convinced many scientists that A.I. will soon make the hypothesis-experiment-test cycle faster than ever before.
More here.
Enjoying the content on 3QD? Help keep us going by donating now.