Sending clearer signals
Associate Professor Yury Polyanskiy is working to keep data flowing as the “internet of things” becomes a reality.
Topic
Electrical engineering and computer science (EECS)
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How well can computers connect symptoms to diseases?
Models that map these relationships based on patient data require fine-tuning for certain conditions, study shows.
Three from MIT are named 2020 fellows of the IEEE
Two staff members from Lincoln Laboratory and a professor in the School of Engineering are recognized for their influential research.
Finding the true potential of algorithms
Using mathematical theory, Virginia Williams coaxes algorithms to run faster or proves they’ve hit their maximum speed.
Tool predicts how fast code will run on a chip
Machine-learning system should enable developers to improve computing efficiency in a range of applications.
Finding a good read among billions of choices
As natural language processing techniques improve, suggestions are getting speedier and more relevant.
![Designed by an MIT team using artificial intelligence, “The [R]evolution of Hip Hop Breakbeat Narratives” is an immersive art installation designed for the forthcoming Universal Hip Hop Museum in New York City.](/sites/default/files/styles/term_page__news_article/public/images/201912/mit-hip-hop-museum-breakbeat-narratives-A1.jpg?itok=yVVI7kZi)
Exploring hip hop history with art and technology
With its centerpiece exhibit for the forthcoming Universal Hip Hop Museum, an MIT team uses artificial intelligence to explore the rich history of hip hop music.
Model beats Wall Street analysts in forecasting business financials
Using limited data, this automated system predicts a company’s quarterly sales.
This object-recognition dataset stumped the world’s best computer vision models
Objects are posed in varied positions and shot at odd angles to spur new AI techniques.
Schools of Science and Engineering join hands to transform learning
In 8.02 (Electricity and Magnetism), students explore the practical application of electromagnetic concepts.
Using computers to view the unseen
A new computational imaging method could change how we view hidden information in scenes.
Restructuring the MIT Department of Electrical Engineering and Computer Science
The Institute's largest academic department reorganizes with new leadership as part of the formation of the MIT Schwarzman College of Computing.
Paul McEuen delivers inaugural Dresselhaus Lecture on cell-sized robots
Cornell University professor and physicist uses nanoscale parts to create smart, active microbots.
Three MIT seniors to join 2021 class of Schwarzman Scholars
Two alumni have also been selected; the scholars will study global affairs at Beijing’s Tsinghua University.
Helping machines perceive some laws of physics
Model registers “surprise” when objects in a scene do something unexpected, which could be used to build smarter AI.