Professor Armando Solar-Lezama is an Associate Director and the COO of MIT CSAIL and leads the Computer-Aided Programming Group, aims to reduce the skill and effort required to develop software ...

All programming languages have their proponents, but not all are equally equipped with libraries for data science and machine learning. (Image: Igor Stevanovic, Getty Images/iStockphoto) ...

AI- and machine learning-powered programming tools have the potential to reshape industries. But they have a ways to go.

Machine learning has also emerged as a way to automate some work needed to build and fine-tune other machine-learning algorithms. It remains to be seen how well SourceAI’s tool actually works.

To challenge the machine learning community and measure how good large language models are at programming, last week a group of AI researchers introduced a benchmark for automated coding with ...

Learning from the top minds in machine learning and robotics, and programming the Baxter robot was an experience I couldn’t get outside of MSR. Also, I co-founded a startup called Augmented ...

Kate Yee (MLDS ‘24) wants a future in healthcare analytics. Their summer internship was a big step toward making that possible. Yee is a student in Northwestern Engineering's Master of Science in ...

Machine learning and conventional programming language are two different approaches to computer programming languages that yields different outcomes or expectations. By definition, Machine Learning is ...

Last year, I started writing about my experiences taking courses on machine learning and artificial intelligence. One of the big, unexpected problems I ran into was calculus and linear algebra.

Not necessarily for the data-science and machine-learning communities built around Python extensions like NumPy and SciPy, but as a general programming language.