Computer Science (Artificial Intelligence)

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Thriving Stars of AI

Advances in computing and artificial intelligence (AI) are changing our world at a rapid—and accelerating—pace. As we prepare for a future where AI and machine learning are deeply

Science Hub Inspiration Series

Presentations from some of MIT’s most inspiring students, researchers, and faculty. We’ll hear curated presentations on themselves and their research followed by live Q&A! To learn more please

Mina Konakovic Lukovic

Mina Konakovic Lukovic

Assistant Professor, (beginning July 2022)

minakl@mit.edu

March 8, 2022

School of Engineering welcomes new faculty

Sixteen new professors join the MIT community, with research areas ranging from robotics and machine learning to health care and agriculture.

March 4, 2022

Q&A: Climate Grand Challenges finalists on building equity and fairness into climate solutions

Faculty leaders discuss the opportunities and obstacles in developing, scaling, and implementing their work rapidly.

March 3, 2022

Injecting fairness into machine-learning models

A new technique boosts models’ ability to reduce bias, even if the dataset used to train the model is unbalanced.

February 4, 2022

Seeing into the future: Personalized cancer screening with artificial intelligence

Scientists demonstrate that AI-risk models, paired with AI-designed screening policies, can offer significant and equitable improvements to cancer screening.

January 12, 2022

Physics and the machine-learning “black box”

In 2.C01, George Barbastathis demonstrates how mechanical engineers can use their knowledge of physical systems to keep algorithms in check and develop more accurate predictions.

January 5, 2022

Nonsense can make sense to machine-learning models

Deep-learning methods confidently recognize images that are nonsense, a potential problem for medical and autonomous-driving decisions.