Give him the hook: New data shows baseball managers when to replace the starting pitcher
As MIT’s major sports analytics conference begins, novel research provides data-based guidance for big-league skippers.
Topic
Computer Science and Artificial Intelligence Laboratory (CSAIL)
Download RSS feed: News Articles / In the Media / Audio
Self-completing programs
A system that automatically fills in the gaps in programmers’ code becomes more powerful.
White House to co-host workshop at MIT on ‘big data’ and privacy
March 3 event convenes academics, representatives of industry, and top government officials to discuss big data and the role of technology in protecting privacy.
Rise of the compliant machines
MIT spinout Meka Robotics, recently acquired by Google, creates ‘sociable’ humanoids that could help advance human-robot interaction.
Smarter caching
Cleverer management of the local memory banks known as ‘caches’ could improve computer chips’ performance while reducing their energy consumption.
Herding robots
A new system combines simple control programs to enable fleets of robots — or other “multiagent systems” — to collaborate in unprecedented ways.
Storage system for ‘big data’ dramatically speeds access to information
Using multiple nodes allows the same bandwidth and performance from a storage network as far more expensive machines.
Expanding our view of vision
New brain-scanning technique allows scientists to see when and where the brain processes visual information.
New algorithm can dramatically streamline solutions to the ‘max flow’ problem
Research could boost the efficiency even of huge networks like the Internet.
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.
Building culture in digital media
Fox Harrell’s new book presents a ‘manifesto’ detailing how computing can create powerful new forms of expression and culture.
Automatic speaker tracking in audio recordings
A new system dispenses with the human annotation of training data required by its predecessors but achieves comparable results.
Surprisingly simple scheme for self-assembling robots
Small cubes with no exterior moving parts can propel themselves forward, jump on top of each other, and snap together to form arbitrary shapes.
Teaching computers to see — by learning to see like computers
By translating images into the language spoken by object-recognition systems, then translating them back, researchers hope to explain the systems’ failures.