MITx MicroMasters credential leads learner to accelerated graduate program in data science.

“Minimum viewing time” benchmark gauges image recognition complexity for AI systems by measuring the time needed for accurate human identification.

Using generative AI, MIT chemists created a model that can predict the structures formed when a chemical reaction reaches its point of no return.

The Energy and Climate Hack presented opportunities for students and companies to collaborate and develop innovative solutions.

The graduate students will aim to commercialize innovations in AI, machine learning, and data science.

MIT professor combines nanoscience and viruses to develop solutions in energy, environment, and medicine.

Study shows computational models trained to perform auditory tasks display an internal organization similar to that of the human auditory cortex.

A new method enables optical devices that more closely match their design specifications, boosting accuracy and efficiency.

Series of 2030 quantitative campus impact goals aims to reduce emissions and inform and advance the Institute’s commitment to climate.

Justin Solomon applies modern geometric techniques to solve problems in computer vision, machine learning, statistics, and beyond.

During the last week of November, MIT hosted symposia and events aimed at examining the implications and possibilities of generative AI.

The series aims to help policymakers create better oversight of AI in society.

The realistic model could aid the development of better heart implants and shed light on understudied heart disorders.

MIT researchers develop a customized onboarding process that helps a human learn when a model’s advice is trustworthy.

Using machine learning, the computational method can provide details of how materials work as catalysts, semiconductors, or battery components.

During 18 years of leadership, Evans established new R&D mission areas, strengthened ties to the MIT community, and increased inclusion and education efforts

A new, data-driven approach could lead to better solutions for tricky optimization problems like global package routing or power grid operation.

Through volunteer work and other activities, the Women’s League has played an impactful role at MIT for more than a century.

MIT CSAIL researchers established new connections between combinatorial and continuous optimization, which can find global solutions for complex motion-planning puzzles.

Fusion’s success as a renewable energy depends on the creation of an industry to support it, and academia is vital to that industry’s development.

Rodney Brooks, co-founder of iRobot, kicks off an MIT symposium on the promise and potential pitfalls of increasingly powerful AI tools like ChatGPT.