MIT AI learns molecular language for rapid materials development and drug discovery

MIT-Watson AI Labs’ new AI system dramatically simplifies drug and material discovery by accurately predicting molecular properties with minimal data. The system takes advantage of a molecular grammar learned through reinforcement learning to efficiently generate new molecules. This method has demonstrated remarkable effectiveness even with datasets of less than 100 samples. This AI system needs … Read more

Better and faster design of light-emitting organic materials with machine learning and quantum computing

image: (A) Structure of Alq3 (B) Flowchart of the authors of two selected quantum optimization algorithms (C) Illustration of the authors’ method to reduce the influence of device noise visualization Moreover Credit: QI GAO ET AL Over the past decade, organic luminescent materials have been recognized by academia and industry as promising components for lightweight, … Read more

How AI can help educators see if their learning materials work

Companies like Amazon and Facebook have systems in place that continuously respond to how users interact with their apps to streamline the user experience. What if educators could use the same adaptive experimentation strategy to regularly improve their teaching materials? That’s the question asked by a group of researchers who have developed a free tool … Read more