Nine from MIT named 2023 Sloan Research Fellows
Annual award honors early-career researchers for creativity, innovation, and research accomplishments.
Topic
Laboratory for Information and Decision Systems (LIDS)
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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.
A far-sighted approach to machine learning
New system can teach a group of cooperative or competitive AI agents to find an optimal long-term solution.
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.
Living better with algorithms
Graduate student Sarah Cen explores the interplay between humans and artificial intelligence systems, to help build accountability and trust.
On the road to cleaner, greener, and faster driving
Researchers use artificial intelligence to help autonomous vehicles avoid idling at red lights.
System helps severely motor-impaired individuals type more quickly and accurately
For individuals who communicate using a single switch, a new interface learns how they make selections, and then self-adjusts accordingly.
A tool for predicting the future
Researchers design a user-friendly interface that helps nonexperts make forecasts using data collected over time.
Learning to fly
Veteran and PhD student Andrea Henshall has used MIT Open Learning to soar from the Air Force to multiple aeronautics degrees.