Constraint programming combined with machine learning provides a robust framework for addressing complex combinatorial problems across diverse domains such as energy management, production scheduling ...

Video: OOP principles are not dead! These and other traditional coding models, Armando Solar-Lezama says, can be applied to learning Armando Solar-Lezama’s work goes directly into the heart of the ...

Machine Learning Vs. Programming: What Actually Is The Difference? Video unavailable Professor Armando Solar-Lezama is an Associate Director and the COO of MIT CSAIL and leads the Computer-Aided ...

Machine learning is a branch of computer science that teaches computers to 'learn' patterns from data instead of being programmed step by step. Think of it like this: instead of telling a computer ...

Monarch framework, currently experimental, allows Python programmers to program distributed systems as if they were just one ...

William Chiu (MSiA '13) works in the fast-paced world of finance, where algorithms often make decisions that impact millions of lives and even more dollars. Now he's helping MLDS students develop ...

Amazon just announced its new AI PhD Fellowship program, which will provide two years of funding for more than 100 PhD ...

Artificial intelligence (AI) is broadly defined as the capability of a machine to imitate intelligent human behavior and cognitive functions, such as learning, problem-solving, and performing complex ...

As the use of machine learning algorithms in health care continues to expand, there are growing concerns about equity, fairness, and bias in the ways in which machine learning models are developed and ...

We are excited to welcome this year's cohort for the Machine Learning in Economics Summer Institute, which will be held in Chicago, August 7-13, 2025. Applications for the 2025 Institute can be found ...