Probabilistic AI that knows how well it’s working

It’s more important than ever for artificial intelligence to estimate how accurately it is explaining data.

Rachel Paiste | Department of Brain and Cognitive Sciences • mit
May 25, 2023 ~6 min

Python-based compiler achieves orders-of-magnitude speedups

Codon compiles Python code to run more efficiently and effectively while allowing for customization and adaptation to various domains.

Rachel Gordon | MIT CSAIL • mit
March 14, 2023 ~8 min


A programming language for hardware accelerators

Researchers created Exo for writing high-performance code on hardware accelerators.

Rachel Gordon | MIT CSAIL • mit
July 11, 2022 ~8 min

Computing our climate future

To put global climate modeling at the fingertips of local decision-makers, some scientists think it’s time to rethink the system from scratch.

Paige Colley | School of Science • mit
April 13, 2022 ~10 min

Exact symbolic artificial intelligence for faster, better assessment of AI fairness

Probabilistic programming language allows for fast, error-free answers to hard AI problems, including fairness.

Rachel Paiste | Department of Brain and Cognitive Sciences • mit
Aug. 9, 2021 ~6 min

MIT-created programming language Julia 1.0 debuts | MIT News

The dynamic programming language, which is free and open source, combines the speed and popular features of the best scientific and technical software.

Sandi Miller | Department of Mathematics • mit
Aug. 27, 2018 ~3 min

Celebrating 10 years of Scratch | MIT News

Scratch Day @ MIT was one of more than 1,100 global events during May to celebrate the kids’ programming language and online community on its 10th anniversary.

MIT Media Lab • mit
May 11, 2017 ~8 min

JuliaCon draws global users of a dynamic, easy-to-learn programming language | MIT News

Now three years old, the Julia programming language is helping to solve problems in areas such as economic modeling, spaceflight, and bioinformatics.

Deshpande Center for Technological Innovation • mit
July 18, 2016 ~4 min


Computer program fixes old code faster than expert engineers | MIT News

What takes coders months, CSAIL’s “Helium” can do in an hour.

Adam Conner-Simons | CSAIL • mit
July 9, 2015 ~5 min

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