COUNTRY FOCUS : CANADA
Joint open-source initiative combines the Merck portfolio of use cases with the Acceleration Consortium ’ s world-leading excellence in self-driving labs .
Acceleration Consortium c with Merck on open-sourci experimentation planner
Panorama of Toronto skyline at sunset in
Ontario , Canada
The Acceleration Consortium , based at the University of Toronto ( U of T ), and leading science and technology company Merck have confirmed their AI-driven experimentation planner Bayesian Back End ( BayBE ) is now available open-source on GitHub – with an unrestricted Apache 2.0 license . for the advancement of self-driving labs . This collaboration moves the needle of multi-stakeholder work in the area of self-driving labs .
I am thrilled about our collaboration with Merck on developing and publishing software for AI-assisted experimental planning .
The joint open-source initiative combines the Merck portfolio of use cases with the Acceleration Consortium ’ s recognised world-leading excellence in self-driving labs .
Alán Aspuru-Guzik , U of T Professor of Chemistry and Computer Science and Director of the Acceleration Consortium , said : “ The release and maintenance of open-source code for scientific discovery is imperative
As society faces ever-growing challenges , we have no time for science as usual . With this software , we can revolutionize the way experiments are designed and conducted , accelerating discoveries and Driving progress in ways we have never imagined before ,” said Alán Aspuru-Guzik , Professor of Chemistry and Computer Science at the University of Toronto , and Director of the Acceleration Consortium , which recently launched a seven-year program worth CA $
48 INTELLIGENTCIO NORTH AMERICA www . intelligentcio . com