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.
It’s more important than ever for artificial intelligence to estimate how accurately it is explaining data.
Developed at MIT, D2X is a new tool that makes it easy to debug any domain-specific programming language.
Codon compiles Python code to run more efficiently and effectively while allowing for customization and adaptation to various domains.
Researchers created Exo for writing high-performance code on hardware accelerators.
To put global climate modeling at the fingertips of local decision-makers, some scientists think it’s time to rethink the system from scratch.
With a tensor language prototype, “speed and correctness do not have to compete ... they can go together, hand-in-hand.”
Twist is an MIT-developed programming language that can describe and verify which pieces of data are entangled to prevent bugs in a quantum program.
Probabilistic programming language allows for fast, error-free answers to hard AI problems, including fairness.
Health Analytics Collective uses real-world evidence to modernize health and drug development decisions.
The new version of the popular free coding platform builds on a robust community of kid coders.
The dynamic programming language, which is free and open source, combines the speed and popular features of the best scientific and technical software.
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.
Now three years old, the Julia programming language is helping to solve problems in areas such as economic modeling, spaceflight, and bioinformatics.
What takes coders months, CSAIL’s “Helium” can do in an hour.