Kicking neural network design automation into high gear
Algorithm designs optimized machine-learning models up to 200 times faster than traditional methods.
Algorithm designs optimized machine-learning models up to 200 times faster than traditional methods.
Loosely connected disc-shaped “particles” can push and pull one another, moving en masse to transport objects.
Gripper device inspired by “origami magic ball” can grasp wide array of delicate and heavy objects.
The GOSSIS algorithm was developed using data from hospitals around the world to spur greater multi-center collaboration and improved benchmarking.
Research projects show creative ways MIT students are connecting computing to other fields.
Robot’s lightweight, high-power design is the perfect platform to share and play, developers say.
Efficient chip enables low-power devices to run today’s toughest quantum encryption schemes.
Conference celebrating new MIT Schwarzman College of Computing explores the changing face of higher ed.
From digital circuits to ingestible robots, the Institute has helped spearhead key innovations in the technology revolution.
System better allocates time-sensitive data processing across cores to maintain quick user-response times.
Undergraduate research projects show how students are advancing research in human and artificial intelligence, and applying intelligence tools to other disciplines.
Alumnus and founding dean of Cornell Tech in New York City will return to MIT this summer.
System uses RFID tags to home in on targets; could benefit robotic manufacturing, collaborative drones, and other applications.
Study uncovers language patterns that AI models link to factual and false articles; underscores need for further testing.
A new database of images could pave a path for algorithmic models that ensure accurate diagnoses of conditions like pneumonia.