Taming the data deluge
A National Science Foundation-funded team will use artificial intelligence to speed up discoveries in physics, astronomy, and neuroscience.
Creating dynamic symmetry in quantum systems
MIT researchers develop a new way to control and measure energy levels in a diamond crystal; could improve qubits in quantum computers.
Artificial intelligence sheds light on how the brain processes language
Neuroscientists find the internal workings of next-word prediction models resemble those of language-processing centers in the brain.
Saving seaweed with machine learning
PhD candidate Charlene Xia is developing a low-cost system to monitor the microbiome of seaweed farms and identify diseases before they spread.
At Mass STEM Week kickoff, MIT RAISE announces Day of AI
Artificial intelligence is top-of-mind as Governor Baker, President Reif encourage students to “see yourself in STEM.”
These neural networks know what they’re doing
A certain type of artificial intelligence agent can learn the cause-and-effect basis of a navigation task during training.
New integrative computational neuroscience center established at MIT’s McGovern Institute
The K. Lisa Yang Integrative Computational Neuroscience (ICoN) Center will use mathematical tools to transform data into a deep understanding of the brain.
Thriving Stars: An initiative to improve gender representation in electrical engineering and computer science
MIT EECS unveils a new effort to encourage and support women on their journey to — and through — graduate study in computing and information technologies.
Refugee learners aim to lift up their communities
MIT Refugee Action Hub celebrates the graduation of its third and largest cohort yet.
Hamed Okhravi is named co-chair of DARPA cybersecurity study
A cyber systems expert at Lincoln Laboratory, Okhravi will help investigate bold solutions to fundamental cyber vulnerabilities.
Budding coders create apps aimed at real-world impact
MIT App Inventor’s “Appathon” joins programmers from around the world to imagine a better future and start building it one app at a time.
The language of change
Preparing for a career advancing the science and policy of climate issues, junior Ryan Conti focuses on math, computer science, and the philosophy of language.
Using AI and old reports to understand new medical images
Scientists employ an underused resource — radiology reports that accompany medical images — to improve the interpretive abilities of machine learning algorithms.
Making health and motion sensing devices more personal
An electrical impedance tomography toolkit lets users design and fabricate health and motion sensing devices.
How quickly do algorithms improve?
MIT scientists show how fast algorithms are improving across a broad range of examples, demonstrating their critical importance in advancing computing.