MIT community in 2023: A year in review
Top Institute stories dealt with a presidential inauguration, international accolades for faculty and students, “Dialogues Across Difference,” new and refreshed community spaces, and more.
Top Institute stories dealt with a presidential inauguration, international accolades for faculty and students, “Dialogues Across Difference,” new and refreshed community spaces, and more.
MIT community members made headlines with key research advances and their efforts to tackle pressing challenges.
The highly influential professor served for 25 years as executive officer of the Department of Electrical Engineering and Computer Science.
This new method draws on 200-year-old geometric foundations to give artists control over the appearance of animated characters.
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.
A new method enables optical devices that more closely match their design specifications, boosting accuracy and efficiency.
Justin Solomon applies modern geometric techniques to solve problems in computer vision, machine learning, statistics, and beyond.
Speranza system brings hope to users that the package they download is functional software, not malware.
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 one-step fabrication process rapidly produces miniature chemical reactors that could be used to detect diseases or analyze substances.
The computer scientist will study global affairs at Tsinghua University in China as part of the 2024-25 class of Schwarzman Scholars.
The advance opens a path to next-generation devices with unique optical and electronic properties.
MIT researchers develop a customized onboarding process that helps a human learn when a model’s advice is trustworthy.