Carnegie Mellon to Host Automated Science Workshop
By Robert Murphy
Carnegie Mellon will host an automated science workshop this summer that is part of a series organized by the Nobel Turing Challenge Initiative. The initiative aims to facilitate advances and collaborations that could, in principle, one day lead to scientific discoveries worthy of a major prize.
The Third Nobel Turing Challenge Initiative Workshop will take place July 11–12 in CMU's Gates and Hillman Centers in Pittsburgh and will feature talks and poster sessions on topics including laboratory automation and robotic experiment execution, design and management of automated experimental workflows, machine learning, and active learning and optimal experiment design. It will also feature guided tours of the Computational Biology Department’s Automated Science Lab and the CMU Cloud Lab.
Carnegie Mellon has a long history relevant to automated science, ranging from the work of Herb Simon and colleagues on scientific discovery by computers, to the development of the automated fluorescence microscope by Lans Taylor and colleagues, to the demonstration of closed-loop, AI-driven discovery of complex cell phenotypes by Bob Murphy and his students. The university's leadership in this area includes the creation of the first graduate degree program in Automated Science and its commitment to build the first academic cloud lab.
Abstracts for potential talks or poster presentations are welcome and may be submitted via this form. Deadline for submission is Thursday, June 1, and the registration fee will be waived for presenters of accepted abstracts.