Securing the “internet of things” in the quantum age
Efficient chip enables low-power devices to run today’s toughest quantum encryption schemes.
The future of education in a world of pervasive computing
Conference celebrating new MIT Schwarzman College of Computing explores the changing face of higher ed.
Twenty-five ways in which MIT has transformed computing
From digital circuits to ingestible robots, the Institute has helped spearhead key innovations in the technology revolution.
Achieving greater efficiency for fast data center operations
System better allocates time-sensitive data processing across cores to maintain quick user-response times.
Exploring the nature of intelligence
Undergraduate research projects show how students are advancing research in human and artificial intelligence, and applying intelligence tools to other disciplines.
Dan Huttenlocher named inaugural dean of MIT Schwarzman College of Computing
Alumnus and founding dean of Cornell Tech in New York City will return to MIT this summer.
Robots track moving objects with unprecedented precision
System uses RFID tags to home in on targets; could benefit robotic manufacturing, collaborative drones, and other applications.
Peering under the hood of fake-news detectors
Study uncovers language patterns that AI models link to factual and false articles; underscores need for further testing.
MIMIC Chest X-Ray database to provide researchers access to over 350,000 patient radiographs
A new database of images could pave a path for algorithmic models that ensure accurate diagnoses of conditions like pneumonia.
Putting neural networks under the microscope
Researchers pinpoint the “neurons” in machine-learning systems that capture specific linguistic features during language-processing tasks.
MIT robot combines vision and touch to learn the game of Jenga
Machine-learning approach could help robots assemble cellphones and other small parts in a manufacturing line.
Engineers program marine robots to take calculated risks
Algorithm could help autonomous underwater vehicles explore risky but scientifically-rewarding environments.
Filling the gaps in a patient’s medical data
Neural network assimilates multiple types of health data to help doctors make decisions with incomplete information.
Identifying artificial intelligence “blind spots”
Model identifies instances when autonomous systems have learned from examples that may cause dangerous errors in the real world.
A faster, more efficient cryptocurrency
Design reduces by 99 percent the data users need to join the network and verify transactions.