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MIT Schwarzman College of Computing

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Employing artificial intelligence to unveil rigid and strong microstructures.

3-D printing, Algorithms, Artificial Intelligence, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Design, Electrical Engineering & Computer Science (eecs), Materials science and engineering, MIT Schwarzman College of Computing, Research, School of Engineering, UncategorizedMarch 7, 202468Views0Likes0Comments
A team of researchers at the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) has developed a revolutionary computational design system that enhances the performance of microstructured materials. These materials, ubiquitous in everything from cars to airplanes, offer essential durability and strength. This project, led by Beichen Li, a CSAIL affiliate and an MIT PhD…

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AI Generation for Intelligent Grid Simulation

Artificial Intelligence, Climate, Computer modeling, Electrical Engineering & Computer Science (eecs), Energy, Funding, Grants, Laboratory for Information and Decision Systems (LIDS), Lincoln Laboratory, Machine learning, MIT Schwarzman College of Computing, School of Engineering, UncategorizedMarch 7, 202476Views0Likes0Comments
The Laboratory for Information and Decision Systems (LIDS) at Massachusetts Institute of Technology (MIT) has received a grant of $1,365,000 from the Appalachian Regional Commission (ARC). The funding supports LIDS's role in the "Forming the Smart Grid Deployment Consortium (SGDC) and Expanding the HILLTOP+ Platform" project. Made available through ARC's Appalachian Regional Initiative for Stronger…

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A new AI model has the potential to enhance efficiency in robotic warehouses.

Algorithms, Artificial Intelligence, Civil and environmental engineering, Computer science and technology, IDSS, Laboratory for Information and Decision Systems (LIDS), Machine learning, MIT Schwarzman College of Computing, Research, Robots, School of Engineering, UncategorizedMarch 7, 202463Views0Likes0Comments
MIT researchers have developed a deep-learning model to help robots navigate crowded warehouses, where congestion can slow operations and even lead to crashes. The model does this by dividing the robots into smaller groups and using a path-finding algorithm to decongest each group more quickly. Researchers described the process as being similar to mitigating traffic…

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Navigating through the challenges of our clamorous planet.

Artificial Intelligence, Computer science and technology, Electrical Engineering & Computer Science (eecs), Faculty, IDSS, Laboratory for Information and Decision Systems (LIDS), Machine learning, Mathematics, MIT Schwarzman College of Computing, Profile, School of Engineering, UncategorizedMarch 7, 202469Views0Likes0Comments
Tamara Broderick, a once participant of the Women's Technology Program at MIT, found her path back to the institution years later, but as a faculty member. Broderick, a tenured associate professor in the Department of Electrical Engineering and Computer Science (EECS), works in the field of Bayesian inference, which is a statistical approach to measure…

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Improving software testing through the application of generative AI.

Alumni/ae, Artificial Intelligence, Data, Electrical Engineering & Computer Science (eecs), Faculty, Innovation and Entrepreneurship (I&E), Laboratory for Information and Decision Systems (LIDS), Machine learning, MIT Schwarzman College of Computing, Research, School of Engineering, Startups, UncategorizedMarch 7, 202475Views0Likes0Comments
Generative AI is being recognized for its capacity to produce both text and images. Establishment and application of generative AI to produce realistic synthetic data about various scenarios can assist businesses to improve services, reroute planes, or upgrading software platforms, especially in cases where tangible-world data is scarce or sensitive. For the preceding three years, a…

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