Artificial intelligence system rapidly predicts how two proteins will attach
The machine-learning model could help scientists speed the development of new medicines.
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School of Science announces 2022 Infinite Expansion Awards
Eight postdocs and research scientists within the School of Science honored for contributions to the Institute.
Invisible machine-readable labels that identify and track objects
An MIT team develops 3D-printed tags to classify and store data on physical objects.
Demystifying machine-learning systems
A new method automatically describes, in natural language, what the individual components of a neural network do.
Deploying machine learning to improve mental health
MIT scientist Rosalind Picard collaborates with clinicians to develop tools for mental health care delivery.
Cynthia Breazeal named dean for digital learning at MIT
Overseeing business and research units across MIT Open Learning, Breazeal will focus on the future of digital technologies and their applications in education.
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.
Life Sciences Supermind Report outlines proposed solutions to re-imagine the global health ecosystem
Collective intelligence methodology identifies key findings to accelerate the pace of innovation and build health resilience.
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.
MIT Startup Exchange: Creating powerful synergies
A program within MIT Corporate Relations has become the largest university-based platform for startups to connect with corporations.
Brave Behind Bars: Prison education program focuses on computing skills for women
MIT computer scientists and mathematicians offer an introductory computing and career-readiness program for incarcerated women in New England.
When should someone trust an AI assistant’s predictions?
Researchers have created a method to help workers collaborate with artificial intelligence systems.
How well do explanation methods for machine-learning models work?
Researchers develop a way to test whether popular methods for understanding machine-learning models are working correctly.
“Hey, Alexa! Are you trustworthy?”
The more social behaviors a voice-user interface exhibits, the more likely people are to trust it, engage with it, and consider it to be competent.