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.
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.
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.
Tiny materials lead to a big advance in quantum computing
Using ultrathin materials to reduce the size of superconducting qubits may pave the way for personal-sized quantum devices.
Demystifying machine-learning systems
A new method automatically describes, in natural language, what the individual components of a neural network do.