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MIT Uses AI To Discover Hidden Magnetic Properties in Multi-Layered Electronic Material

April 3, 2022/

MIT researchers discovered hidden magnetic properties in multilayer electronic material by analyzing polarized neutrons with neural networks. Credit: Ella Maru Studio A[{” attribute=””>MIT team incorporates AI to facilitate the detection of an intriguing materials phenomenon that can lead to electronics without energy dissipation. Superconductors have long been considered the principal approach for realizing electronics without resistivity. In the past decade, a new family of quantum materials, “topological materials,” has offered an alternative…

MIT Researchers Create a Tool for Predicting the Future

March 30, 2022/

Researchers are designing an easy-to-use interface that will help laypersons make forecasts using data collected over time. Whether someone is trying to predict tomorrow’s weather, predict future stock prices, identify missed retail opportunities, or assess a patient’s disease risk, they likely need to interpret time series data, which is a collection of observations recorded over time . Making predictions from time-series data typically requires multiple data processing steps and the use of…

How the MIT Mini Cheetah Robot Learns To Run Entirely by Trial and Error

March 30, 2022/

MIT’s mini-cheetah, which uses a model-free reinforcement learning system, broke the record for fastest recorded run. Photo Credit: Photo courtesy of MIT CSAIL. CSAIL scientists developed a learning pipeline for the four-legged robot, which learns to walk entirely through trial and error in simulation. It’s been around 23 years since one of the first robotic animals emerged and defied traditional notions of our cuddly four-legged friends. Since then, a barrage of walking,…

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