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.
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.
Five MIT faculty elected 2021 AAAS Fellows
Dincă, Feng, Hunter, Shoemaker, and Wang are recognized for their efforts to advance science.
Building technological tools for nuclear disarmament
Associate Professor Areg Danagoulian credits mentorship with helping him establish a path through nuclear physics.
3 Questions: Anuradha Annaswamy on building smart infrastructures
Senior research scientist and her team are designing intelligent systems that could someday transform the way we travel and consume energy.
A new language for quantum computing
Twist is an MIT-developed programming language that can describe and verify which pieces of data are entangled to prevent bugs in a quantum program.
Computing for ocean environments
MIT ocean and mechanical engineers are using advances in scientific computing to address the ocean’s many challenges, and seize its opportunities.
Seeing into the future: Personalized cancer screening with artificial intelligence
Scientists demonstrate that AI-risk models, paired with AI-designed screening policies, can offer significant and equitable improvements to cancer screening.