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.
Julia Lab joins team to speed up drug approval process
Health Analytics Collective uses real-world evidence to modernize health and drug development decisions.
Introducing Scratch 3.0
The new version of the popular free coding platform builds on a robust community of kid coders.
MIT-created programming language Julia 1.0 debuts
The dynamic programming language, which is free and open source, combines the speed and popular features of the best scientific and technical software.
Celebrating 10 years of Scratch
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.
JuliaCon draws global users of a dynamic, easy-to-learn programming language
Now three years old, the Julia programming language is helping to solve problems in areas such as economic modeling, spaceflight, and bioinformatics.
Computer program fixes old code faster than expert engineers
What takes coders months, CSAIL’s “Helium” can do in an hour.
Harnessing error-prone chips
New system would allow programmers to easily trade computational accuracy for energy savings.
Self-completing programs
A system that automatically fills in the gaps in programmers’ code becomes more powerful.
Building disaster-relief phone apps on the fly
Researchers combine powerful new Web standards with the intuitive, graphical MIT App Inventor to aid relief workers with little programming expertise.
Writing programs using ordinary language
Systems that can convert written specifications into working code in a few narrow cases could be generalized to other tasks.
How computers can learn better
With a recently released programming framework, researchers show that a new machine-learning algorithm outperforms its predecessors.
