MIT in the media: 2023 in review
MIT community members made headlines with key research advances and their efforts to tackle pressing challenges.
Professor Emeritus Frederick Hennie, expert in computation and leader within MIT EECS, dies at 90
The highly influential professor served for 25 years as executive officer of the Department of Electrical Engineering and Computer Science.
A flexible solution to help artists improve animation
This new method draws on 200-year-old geometric foundations to give artists control over the appearance of animated characters.
“MIT can give you ‘superpowers’”
MITx MicroMasters credential leads learner to accelerated graduate program in data science.
Image recognition accuracy: An unseen challenge confounding today’s AI
“Minimum viewing time” benchmark gauges image recognition complexity for AI systems by measuring the time needed for accurate human identification.
Closing the design-to-manufacturing gap for optical devices
A new method enables optical devices that more closely match their design specifications, boosting accuracy and efficiency.
A computer scientist pushes the boundaries of geometry
Justin Solomon applies modern geometric techniques to solve problems in computer vision, machine learning, statistics, and beyond.
Boosting faith in the authenticity of open source software
Speranza system brings hope to users that the package they download is functional software, not malware.
MIT Generative AI Week fosters dialogue across disciplines
During the last week of November, MIT hosted symposia and events aimed at examining the implications and possibilities of generative AI.
MIT group releases white papers on governance of AI
The series aims to help policymakers create better oversight of AI in society.
Scientists 3D print self-heating microfluidic devices
The one-step fabrication process rapidly produces miniature chemical reactors that could be used to detect diseases or analyze substances.
Researchers safely integrate fragile 2D materials into devices
The advance opens a path to next-generation devices with unique optical and electronic properties.
Automated system teaches users when to collaborate with an AI assistant
MIT researchers develop a customized onboarding process that helps a human learn when a model’s advice is trustworthy.
Remembering Professor Judy Hoyt, a pioneer in semiconductor research
Her demonstration of incorporating lattice strain as a means to enhance performance in scaled silicon devices has informed virtually every high-performance chip manufactured today.
AI accelerates problem-solving in complex scenarios
A new, data-driven approach could lead to better solutions for tricky optimization problems like global package routing or power grid operation.