Vitamin-powered batteries: how ‘self-driving labs’ are using AI to develop remarkable new materials
It can take many years for a new substance to get from a successful lab experiment to a solution ready to roll out across the world. But AI can be used to sidestep this bottleneck
This article was originally published on theguardian.com as part of the University of Toronto and Guardian Labs What’s Next? Ask Toronto campaign.
Led by Prof Alán Aspuru-Guzik, the University of Toronto’s Acceleration Consortium has an ambitious plan: to dramatically reduce the time it takes to go from a scientific inquiry to a ready-to-use application by employing the latest approaches in automation. The Acceleration Consortium is an Institutional Strategic Initiative at the University of Toronto that designs and builds self-driving labs, an emerging technology that uses artificial intelligence (AI) and robotics to drastically alter the timeline and costs of developing advanced materials. A discovery process that would take an average of 20 years and $100m, for example, can be streamlined to as little as one year and $1m.