A new programming language for high-performance computers
With a tensor language prototype, “speed and correctness do not have to compete ... they can go together, hand-in-hand.”
An explorer in the sprawling universe of possible chemical combinations
Heather Kulik embraces computer models as “the only way to make a dent” in the vast number of potential materials that could solve important problems.
Students dive into research with the MIT Climate and Sustainability Consortium
Through MIT’s Undergraduate Research Opportunities Program, students explore research topics relevant to their own interests, the MCSC, and member companies.
Engineers develop surgical “duct tape” as an alternative to sutures
The sticky patch could be quickly applied to repair gut leaks and tears.
New lightweight material is stronger than steel
The new substance is the result of a feat thought to be impossible: polymerizing a material in two dimensions.
The downside of machine learning in health care
Assistant Professor Marzyeh Ghassemi explores how hidden biases in medical data could compromise artificial intelligence approaches.
2021-22 Takeda Fellows: Leaning on AI to advance medicine for humans
New fellows are working on electronic health record algorithms, remote sensing data related to environmental health, and neural networks for the development of antibiotics.
How Omicron escapes from antibodies
A computational study shows that dozens of mutations help the virus’ spike protein evade antibodies that target SARS-CoV-2.
Artificial intelligence system rapidly predicts how two proteins will attach
The machine-learning model could help scientists speed the development of new medicines.
Energizing communities in Africa
MIT senior Ayomikun Ayodeji seeks to expand access to reliable, affordable energy in his home country of Nigeria, and beyond.
Preparing global online learners for the clean energy transition
MIT Energy Initiative edX course asks students to rethink how we operate power systems.
Making RNA vaccines easier to swallow
A pill that releases RNA in the stomach could offer a new way to administer vaccines, or to deliver therapies for gastrointestinal disease.
Fast-tracking the search for energy-efficient materials
Doctoral candidate Nina Andrejević combines spectroscopy and machine learning techniques to identify novel and valuable properties in matter.
Invisible machine-readable labels that identify and track objects
An MIT team develops 3D-printed tags to classify and store data on physical objects.
A creative desire, and the grit to get it done
Senior Laura Rosado settled on her major while designing a flying car.