Title: Lessons from AlphaZero for Control System Design and Discrete Optimization Speaker: Dimitri Bertsekas (MIT) Date: Tuesday, October 18, 2022 Time: 4:00 PM – 6:00 PM Location: Stata Center, 32-155 Zoom Link: TBA Abstract:…
The AI Policy Forum (AIPF) is an initiative of the MIT Schwarzman College of Computing to move the global conversation about the impact of artificial intelligence from principles to practical…
By continuously monitoring a patient’s gait speed, the system can assess the condition’s severity between visits to the doctor’s office.
Researchers increase the accuracy and efficiency of a machine-learning method that safeguards user data.
Researchers develop a new method that uses multiple models to create more complex images with better understanding.
Researchers use machine learning to automatically solve, explain, and generate university-level math problems at a human level.
Researchers train a machine-learning model to monitor and adjust the 3D printing process to correct errors in real-time.
Engineers working on “analog deep learning” have found a way to propel protons through solids at unprecedented speeds.
A geometric deep-learning model is faster and more accurate than state-of-the-art computational models, reducing the chances and costs of drug trial failures.
The MIT Stephen A. Schwarzman College of Computing has named Costis Daskalakis as the inaugural holder of the Avanessians Professorship. His chair began on July 1. Daskalakis is…