Artificial Intelligence + Machine Learning

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LIDS Seminar Series-Dimitri Bertsekas (MIT)

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:

September 23, 2022

Aleksander Madry, Asu Ozdaglar, and Luis Videgaray, co-chairs of the AI Policy Forum, discuss key issues facing the AI policy landscape today.

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

A diagram of wireless signals emanating from a small device mounted on a wall. The wireless signal expands to encompass a person walking with a shuffling gait.
September 22, 2022

In-home wireless device tracks disease progression in Parkinson’s patients

By continuously monitoring a patient’s gait speed, the system can assess the condition’s severity between visits to the doctor’s office.

September 13, 2022

Collaborative machine learning that preserves privacy

Researchers increase the accuracy and efficiency of a machine-learning method that safeguards user data.

September 13, 2022

AI system makes models like DALL-E 2 more creative

Researchers develop a new method that uses multiple models to create more complex images with better understanding.

August 12, 2022

New algorithm aces university math course questions

Researchers use machine learning to automatically solve, explain, and generate university-level math problems at a human level.

August 12, 2022

Using artificial intelligence to control digital manufacturing

Researchers train a machine-learning model to monitor and adjust the 3D printing process to correct errors in real-time.

August 1, 2022

New hardware offers faster computation for artificial intelligence, with much less energy

Engineers working on “analog deep learning” have found a way to propel protons through solids at unprecedented speeds.

July 15, 2022

Artificial intelligence model finds potential drug molecules a thousand times faster

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.

July 15, 2022

Costis Daskalakis appointed inaugural Avanessians Professor in the MIT Schwarzman College of Computing

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