3 Questions: Leo Anthony Celi on ChatGPT and medicine
The chatbot’s success on the medical licensing exam shows that the test — and medical education — are flawed, Celi says.
The chatbot’s success on the medical licensing exam shows that the test — and medical education — are flawed, Celi says.
PhD students Lucy Du ’14, SM ’16 and Ginger Schmidt are crushing the competition — and gender barriers — in the world of televised robot combat.
Passionate about creating educational opportunities in India, PhD student Siddhartha Jayanti recently explored multiprocessor speed limits, in a paper written in the Indian language Telugu.
A new experiential learning opportunity challenges undergraduates across the Greater Boston area to apply their AI skills to a range of industry projects.
Study group of medical students in Turkey uses free MIT resources to pursue a PhD-level research agenda.
A three-year collaboration with J-WEL upgraded student learning through human skills, project-centered classes, and adaptability.
In MIT class 18.A34 (Mathematical Problem Solving), students prep for a major collegiate mathematics competition — and learn to love math.
The popular YouTuber, engineer, and inventor works to engage young people in science and technology while encouraging curiosity and resilience.
MIT senior Tianyuan (Margaret) Zheng uses art as a bonding enzyme to join STEM, culture, and community.
Guided by mentors, students explore STEM careers and home in on college majors.
In an MIT summer research program, Rita Anoh learned about molecular machines and the value of collaborations.
MIT hosts the 14th Math Prize for Girls, which aims to encourage female middle and high school students of mathematics.
With NEET, Sherry Nyeo is discovering MIT’s undergraduate research community at the intersection of computer science and biological engineering.
MMIP aims to incentivize more students to consider a career in semiconductors and microelectronics, addressing a crucial, nationwide talent gap.
Inspired by jellyfish and octopuses, PhD candidate Juncal Arbelaiz investigates the theoretical underpinnings that will enable systems to more efficiently adapt to their environments.