Anatole von Lilienfeld also navigates space, but rather than exploring the depths of the universe, his work is here on Earth in “chemical space.” And instead of hunting for unknown stars, galaxies and other celestial objects, his focus is on the untapped potential of undiscovered chemical combinations.
We've teamed up with the Matter Lab and the Vector Institute to develop Gryffin, an open-source “off-the-shelf” software to help power self-driving laboratories (SDLs) which combine AI, robotics, and advanced computing to reduce the time and cost of bringing materials to market.
As Managing Partner and co-founder of Radical Ventures, Jordan Jacobs will discuss what it takes to build a robust AI ecosystem in Canada, followed by a panel discussion also featuring: Alan Bernstein (President & CEO of CIFAR), Leah Cowen (Vice-president, research and innovation, and strategic initiatives at UofT), and Garth Gibson (President and CEO of the Vector Institute).
We're excited to announce our first two speakers: Lilo D. Pozzo (University of Washington) and Christoph Brabec (FAU Erlangen-Nürnberg). More keynote and session speakers will be announced very shortly. Be sure to take advantage of early-bird prices, available until July 31, 2022. Register now!
The book explores the transition of non-renewable and unsustainable energy systems of the past into renewable and sustainable energy systems of the future. It is a story that often begins in chemistry laboratories with the discovery of new energy materials.
As anchor partners, Genentech and Merck KGaA, Darmstadt, Germany gain a seat on the AC’s Industry Advisory Board, helping to set the pre-competitive research agenda, in addition to other membership benefits.
Launching in Fall 2022, our program will help upskill workers and train new scientists to meet the demands of a growing digital chemistry and advanced materials sector, forecasted to reach $510B globally by 2024, according to the World Economic Forum (WEF).
Using the artificial intelligence and autonomy algorithms built into ARES OS, researchers can transform experiments into autonomous “research robots” capable of directing and conducting their own research.