Digital simulations help robots learn real-world tasks
A novel approach to training robots using 3D scans of real environments paves the path for robust and accessible home robotics.
Seeing is Believing, Hearing is Revealing
A MIT and Northwestern study finds humans are more adept at spotting political deepfakes than previously thought.
Dr. Francis Collins presents The Road to Wisdom at the 2024 Boston Book Festival
Collins: “It’s not a book that I really felt a strong urge to try to put together until it seemed it was pretty much impossible for me to resist.”
MIT Assistant Professor Ariel Furst Stars in Chemistry Shorts Documentary
Lessons in Microbes, Redox Reactions, and Careers in Science
Designing a Realistic Tissue-Mimicking Bladder: Improving Imaging Devices and Opening up New Recipes for Creating Model Organs
A new study on building an acoustically and mechanically accurate synthetic bladder model may become a more reliable tool for testing imaging devices.
Fireside Chat with Dan Riccio: Former Apple Executive Shares Reflections on his Journey
Riccio: “I always wanted to be the first person to get there in the morning and the last person to be there at night. When anything came up, I wouldn't wait… It’s just how I was.”
Meet Anantha Chandrakasan, Dean of Engineering
Chandrakasan: “I was rejected by MIT. I remember being on a call with the MIT graduate office. I was emotional about the rejection—I think I cried—but they were very kind and gave me good advice and valuable support even then.”
Minding the Brain: Professor Mehrdad Jazayeri on brain models research, the HHMI award, and the growth of neuroscience
Mehrdad Jazayeri, Professor of Brain and Cognitive Sciences at MIT, has recently been named an HHMI Investigator for his research on the mind-brain connection. Having immigrated from Iran and pursued his academic journey at NYU and the University of Washington, Jazayeri's research at MIT combines cognitive science, neuroscience, and machine learning to connect the biological mechanisms of the brain to the computational capacities of the mind.
Decoding the Dogma: Dr. Gene-Wei Li on quantitative analysis of the genome and being named an HHMI Investigator
The Tech sat down with Dr. Gene-Wei Li to talk about working at MIT and his research at the forefront of computational biology.
Growing to greatness: Professor Mary Gehring on plant epigenetics and becoming an HHMI Investigator
Prof. Mary Gehring, a core member of the Whitehead Institute and a professor of biology, explores how epigenetic mechanisms like DNA methylation influence gene regulation in plants. Her lab’s work, using the model organism Arabidopsis thaliana, stands at the frontiers of plant biology research.
Prof. Steven Flavell on researching neural circuits in C. elegans and being named an HHMI Investigator
C. elegans is a little roundworm, about a millimeter long and barely visible to the naked eye. And it only has 302 brain cells.
OmicsWeb: start-up co-founded by MIT professor launches bioinformatics copilot
“Now, it's the time to take advantage of these opportunities.”
MIT Biotechnology Group holds its first life sciences poster session
On May 8, the MIT Biotechnology Group held their first Life Sciences Poster Session event, where dozens of undergraduates presented highlights from their UROPs, ranging from drug delivery to sea robots.
Reshma Shetty ’08 PhD delivers keynote speech for the 2024 MIT School of Engineering and Schwarzman College of Computing degree ceremony
Shetty: “A startup is the best way to work on problems that matter to me.”
Catalyzing medical innovation
Amie Kitjasateanphun: “We provided a fresh perspective and were able to really pinpoint some problems that they hadn't really thought about.”
ChatMIT: Sam Altman on Start-ups, GPT, and the AI Revolution
Altman: “We have a ton of work in front of us.”
MIT.nano: engineering at the heart of the Institute
Scholvin: “Nothing that happens in microfabrication should work. And the reason it's possible is because we negotiate with nature, in some sense.”
The impact and potential of early exposure to machine learning
Educators and innovators discuss why teaching machine learning to a younger generation is vital for preparing them to thrive in an AI-driven world.
MIT’s cutting-edge innovation on display at the Edgerton Showcase
Many congregated to see the creations of MIT’s 18 design teams.
Achievements from the nanoscale to the Institute: Paula Hammond SB ’84 PhD ‘93 named 52nd Killian Award recipient
Killian Award Committee: “She is someone worth emulating. Indeed, simply put, she is the best of us.”