Martin Wainwright named director of the Institute for Data, Systems, and Society
Widely recognized leader in statistics and machine learning to succeed Munther Dahleh.
Laboratory for Information and Decisions Systems (LIDS)
An interdisciplinary approach to fighting climate change through clean energy solutions
Principal Research Scientist Audun Botterud tackles a range of cross-cutting problems — from energy market interactions to designing batteries — to get closer to a decarbonized power grid.
A method for designing neural networks optimally suited for certain tasks
With the right building blocks, machine-learning models can more accurately perform tasks like fraud detection or spam filtering.
New algorithm keeps drones from colliding in midair
Researchers create a trajectory-planning system that enables drones working together in the same airspace to always choose a safe path forward.
Strengthening trust in machine-learning models
Associate Professor Tamara Broderick and colleagues build a “taxonomy of trust” to identify where confidence in the results of a data analysis might break down.
New “traffic cop” algorithm helps a drone swarm stay on task
By keeping data fresh, the system could help robots inspect buildings or search disaster zones.
Nine from MIT named 2023 Sloan Research Fellows
Annual award honors early-career researchers for creativity, innovation, and research accomplishments.
MIT community members elected to the National Academy of Engineering for 2023
Seven researchers, along with 14 additional MIT alumni, are honored for significant contributions to engineering research, practice, and education.
Six with ties to MIT honored as 2022 ACM Fellows
Six distinguished scientists with ties to MIT were recognized for significant contributions to computing systems.
When should data scientists try a new technique?
A new measure can help scientists decide which estimation method to use when modeling a particular data problem.
Computers that power self-driving cars could be a huge driver of global carbon emissions
Study shows that if autonomous vehicles are widely adopted, hardware efficiency will need to advance rapidly to keep computing-related emissions in check.
Investigating at the interface of data science and computing
Guy Bresler builds mathematical models to understand multifaceted, interdisciplinary engineering problems that have far-reaching applications.
Between two universes
Mohammad Javad Khojasteh, a postdoc at MIT LIDS, uses both classical and quantum physics to improve state-of-the-art capabilities in communication, sensing, and computation.
Costis Daskalakis appointed inaugural Avanessians Professor in the MIT Schwarzman College of Computing
Professor of electrical engineering and computer science will receive additional support to advance his research and career.
Building explainability into the components of machine-learning models
Researchers develop tools to help data scientists make the features used in machine-learning models more understandable for end users.