Embracing life’s surprises
Unexpected experimental results often give Associate Professor Cem Tasan new insights into how metals break and deform — and how to design damage-resistant alloys.
Q&A: Are far-reaching fires the new normal?
As Canada’s wildfires continue to be felt downwind, MIT experts weigh in on what to expect in the coming months, with wildfire season underway.
Bioinspired robotics class offers intriguing surprises
Students learn about the complexity behind simple, everyday movement before experimenting with mechanical models.
Polymer Day 2023 showcases interdisciplinary innovation
A record-breaking number of presenters flock to the MIT event’s poster competition; topics range from synthetic mucus to nature-inspired design.
Bringing the social and ethical responsibilities of computing to the forefront
The inaugural SERC Symposium convened experts from multiple disciplines to explore the challenges and opportunities that arise with the broad applicability of computing in many aspects of society.
New model offers a way to speed up drug discovery
By applying a language model to protein-drug interactions, researchers can quickly screen large libraries of potential drug compounds.
MIT researchers make language models scalable self-learners
The scientists used a natural language-based logical inference dataset to create smaller language models that outperformed much larger counterparts.
Megawatt electrical motor designed by MIT engineers could help electrify aviation
Technology demonstrations show the machine’s major components achieve the required performance.
Meet the tight-knit technical staff who help MIT.nano handle any challenge
All together, a core group of MIT.nano staffers has more than 400 years of technical experience in nanoscale characterization and fabrication.
Evolution through example and action
Forty-one women were selected as 2023 MIT Graduate Women of Excellence, organized by the MIT Office of Graduate Education.
Scaling audio-visual learning without labels
A new multimodal technique blends major self-supervised learning methods to learn more similarly to humans.
Turning a circle into a square is possible with this kirigami-inspired formula
A study inspired by the Japanese paper-cutting art provides a blueprint for designing shape-shifting materials and devices.
New tool helps people choose the right method for evaluating AI models
Selecting the right method gives users a more accurate picture of how their model is behaving, so they are better equipped to correctly interpret its predictions.
A more effective way to train machines for uncertain, real-world situations
Researchers develop an algorithm that decides when a “student” machine should follow its teacher, and when it should learn on its own.
CoCo: A real-time co-creative learning platform for young people
Media Lab PhD students Manuj Dhariwal and Shruti Dhariwal introduce a new paradigm of creative collaboration in digital learning environments.