When the algorithm decides that one of those possibilities is worth investigating, a robot can assemble it from scratch out of smaller chemical constituents. Here, the 500 test tubes are not the end product, but a training set of molecules with various properties used to teach an AI algorithm what to look for when exploring a far larger number of possibilities. It’s a paradigm shift that is poised to transform how we discover the stuff our future is made of. The point here is not to mass produce a product, but to automate how materials that can be used to make products are identified and commercialized. The ambitious Canadian science projects getting $1.4-billion in funding from Ottawa The peril and promise of artificial intelligence “I believe – and some people don’t like this statement – that making molecules should be like making Timbits.” “People think that making a molecule is like art,” Dr. Aspuru-Guzik calls the approach a “self-driving lab,” a term that evokes the more familiar application of AI to self-driving cars. The setup lets artificial intelligence be the decision maker behind a robot-enabled chemistry assembly line that can create new substances, evaluate the outcome and take what it has learned to improve the results.
Aspuru-Guzik and his team are deploying to sift out the molecules they are looking for – whether for making lasers, batteries, eco-friendly plastics or life-saving drugs. It’s a neat trick, but the real magic lies in the system that Dr. A chemistry tech shows illuminates a test tube to show laser molecules he and his team produced inside the self-driving chemical lab.
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