Artificial intelligence is accelerating the design of microfluidic devices, replacing months of manual iteration with rapid, data-driven optimization. Techniques like Bayesian optimization and machine ...

(Nanowerk News) Researchers at the University of Toronto’s Faculty of Applied Science & Engineering have used machine learning to design nano-architected materials that have the strength of carbon ...

Researchers at the University of Toronto’s Faculty of Applied Science & Engineering have used machine learning to design nano-architected materials that have the strength of carbon steel but the ...