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.
A learn-by-doing approach to coding
New class lays a strong foundation for learning computer science.
New PBS KIDS ScratchJr app launches
Developed in collaboration with the MIT Media Lab and Tufts University, the PBS KIDS ScratchJr app helps children ages 5-8 learn coding concepts.
MITx MOOC helps a farmer develop an autonomous tractor app
After taking an online programming course through MITx, Canadian farmer Matt Reimer develops a driverless tractor app to accelerate harvesting.
A week at MIT
Workshop on quantitative methods in biology draws diverse undergrads from across the country.
ScratchJr: Coding for kindergarten
With a new app, young children learn important skills as they program stories and games.
High-performance computing programming with ease
Alan Edelman leads the global, open-source collaboration developing "Julia," a powerful but flexible programming language for high performance computing.
Self-completing programs
A system that automatically fills in the gaps in programmers’ code becomes more powerful.
App Inventor launches second iteration
Since its 2009 creation, more than a million people have registered to use App Inventor, which is now based out of the MIT Media Lab.
Dude, where’s my code?
A new system warns programmers when compilers — which convert high-level programs into machine-readable instructions — might simply discard their code.
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.
