Making it easier to program and protect the web
Professor Adam Chlipala builds tools to help programmers more quickly generate optimized, secure code.
Topic
Electrical engineering and computer science (EECS)
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Professor Patrick Winston, former director of MIT’s Artificial Intelligence Laboratory, dies at 76
Beloved professor conducted pioneering research on imbuing machines with human-like intelligence, including the ability to understand stories.
Professor Emeritus Fernando Corbató, MIT computing pioneer, dies at 93
Longtime MIT professor developed early “time-sharing” operating systems and is widely credited as the creator of the world’s first computer password.
Automated system generates robotic parts for novel tasks
When designing actuators involves too many variables for humans to test by hand, this system can step in.
Enriching solid-state batteries
MIT researchers demonstrate a method to make a smaller, safer, and faster lithium-rich ceramic electrolyte.
IDSS hosts inaugural Learning for Dynamics and Control conference
L4DC explored an emerging scientific area at the intersection of real-time physical data, machine learning, control theory, and optimization.
Machine learning for everyone
A new EECS course on applications of machine learning teaches students from a variety of disciplines about one of today’s hottest topics.
Making wireless communication more energy efficient
Along with studying theory, "it's also important to me that the work we are doing will help to solve real-world problems,” says LIDS student Omer Tanovic.
Experiments show dramatic increase in solar cell output
Method for collecting two electrons from each photon could break through theoretical solar-cell efficiency limit.
Angelika Amon and Dina Katabi named Carnegie Corporation “Great Immigrants”
MIT biologist and electrical engineer are two of 38 naturalized U.S. citizens honored for contributions to American society.
MIT Energy Initiative awards seven Seed Fund grants for early-stage energy research
Annual MITEI awards support research on methane conversion, efficient energy provision, plastics recycling, and more.
Teaching artificial intelligence to create visuals with more common sense
An MIT/IBM system could help artists and designers make quick tweaks to visuals while also helping researchers identify “fake” images.
Drag-and-drop data analytics
System lets nonspecialists use machine-learning models to make predictions for medical research, sales, and more.
New AI programming language goes beyond deep learning
General-purpose language works for computer vision, robotics, statistics, and more.
Smart workout apparel, “Vegetable Assassins,” and inspiration from medieval music
In a popular EECS class, student teams design, program, build, and demonstrate their own cloud-connected, handheld, or wearable embedded systems.