What does the future hold for generative AI?
Rodney Brooks, co-founder of iRobot, kicks off an MIT symposium on the promise and potential pitfalls of increasingly powerful AI tools like ChatGPT.
Rodney Brooks, co-founder of iRobot, kicks off an MIT symposium on the promise and potential pitfalls of increasingly powerful AI tools like ChatGPT.
Using fluorescent labels that switch on and off, MIT engineers can study how molecules in a cell interact to control the cell’s behavior.
Core-shell structures made of hydrogel could enable more efficient uptake in the body.
Zack Cordero’s research focuses on extending the lifespan of reusable rockets, while simultaneously reducing the risk of catastrophic failure.
The Nano Summit highlights nanoscale research across multiple disciplines at MIT.
The work demonstrates control over key properties leading to better performance.
Fall 2023 Wulff Lecture speaker Sossina Haile ’86, PhD ’92 uses ammonia and a “superprotonic” material for efficient and eco-friendly energy generation.
By analyzing bacterial data, researchers have discovered thousands of rare new CRISPR systems that have a range of functions and could enable gene editing, diagnostics, and more.
For the political science and mechanical engineering student, who is also an Air Force ROTC member, systematic change starts with personal actions.
In the 60 years since President Kennedy’s death, a scholarship in his name has sent generations of British students to study tuition-free at MIT and Harvard University.
Twelve teams of students and postdocs across the MIT community presented innovative startup ideas with potential for real-world impact.
Passionate about materials science “from the atom to the system,” Elsa Olivetti brings a holistic approach to sustainability to her teaching, research, and coalition-building.
Jörn Dunkel and Surya Ganguli ’98, MNG ’98 receive Science Polymath awards; Josh Tenenbaum is named AI2050 Senior Fellow.
The Graduate Student Coaching Program teaches students the “coaching mindset” to help them reach their personal and professional goals.
MIT CSAIL researchers innovate with synthetic imagery to train AI, paving the way for more efficient and bias-reduced machine learning.