Researchers develop a roadmap for growth of new solar cells
Starting with higher-value niche markets and then expanding could help perovskite-based solar panels become competitive with silicon.
Technique reveals whether models of patient risk are accurate
Computer scientists’ new method could help doctors avoid ineffective or unnecessarily risky treatments.
Using artificial intelligence to enrich digital maps
Model tags road features based on satellite images, to improve GPS navigation in places with limited map data.
How to verify that quantum chips are computing correctly
A new method determines whether circuits are accurately executing complex operations that classical computers can’t tackle.
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.
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.
When machine learning packs an economic punch
Study: After eBay improved its translation software, international commerce increased sharply.
![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.
Differences between deep neural networks and human perception
Stimuli that sound or look like gibberish to humans are indistinguishable from naturalistic stimuli to deep networks.
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.
Intelligent Towing Tank propels human-robot-computer research
A novel experimental facility integrates automation and active learning, illuminating a path to accelerated scientific discovery.
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.
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.