Artificial intelligence model can detect Parkinson’s from breathing patterns | MIT News

Parkinson’s illness is notoriously tough to diagnose because it depends totally on the looks of motor signs reminiscent of tremors, stiffness, and slowness, however these signs usually seem a number of years after the illness onset. Now, Dina Katabi, the Thuan (1990) and Nicole Pham Professor within the Division of Electrical Engineering and Laptop Science … Read more

Solving brain dynamics gives rise to flexible machine-learning models | MIT News

Last year, MIT researchers announced that they had built “liquid” neural networks, inspired by the brains of small species: a class of flexible, robust machine learning models that learn on the job and can adapt to changing conditions, for real-world safety-critical tasks, like driving and flying. The flexibility of these “liquid” neural nets meant boosting … Read more