Enabling AI-driven health advances without sacrificing patient privacy
Secure AI Labs, founded by alumna Anne Kim and MIT Professor Manolis Kellis, anonymizes data for AI researchers.
3 Questions: Kalyan Veeramachaneni on hurdles preventing fully automated machine learning
Researchers hope more user-friendly machine-learning systems will enable nonexperts to analyze big data — but can such systems ever be completely autonomous?
Artificial intelligence is smart, but does it play well with others?
Humans find AI to be a frustrating teammate when playing a cooperative game together, posing challenges for "teaming intelligence," study shows.
Making roadway spending more sustainable
Current and former MIT researchers find novel tools can improve the sustainability of road networks on a limited budget.
Using AI and old reports to understand new medical images
Scientists employ an underused resource — radiology reports that accompany medical images — to improve the interpretive abilities of machine learning algorithms.
Deep learning helps predict new drug combinations to fight Covid-19
Neural network identifies synergistic drug blends for treating viruses like SARS-CoV-2.
Toward a smarter electronic health record
An AI-enhanced system enables doctors to spend less time searching for clinical information and more time treating patients.
Making self-driving cars safer through keener robot perception
PhD student Heng Yang is developing algorithms to help driverless vehicles quickly and accurately assess their surroundings.
Q&A: Dina Katabi on a “smart” home with actual intelligence
MIT professor is designing the next generation of smart wireless devices that will sit in the background, gathering and interpreting data, rather than being worn on the body.
Using adversarial attacks to refine molecular energy predictions
MIT researchers find a new way to quantify the uncertainty in molecular energies predicted by neural networks.
360-degree transparency for construction sites made simple
Jeevan Kalanithi SM ’07 is CEO of OpenSpace, a company founded by three Media Lab graduates using computer vision to benefit the construction industry.
Jordan Harrod: Brain researcher and AI-focused YouTuber
The PhD student uses machine learning as a tool for studying pain and consciousness — and as subject matter for her popular videos.
Smart laser cutter system detects different materials
SensiCut, a smart material-sensing platform for laser cutters, can differentiate between 30 materials commonly found in makerspaces and workshops.
“AI for Impact” lives up to its name
Entrepreneurship class MAS.664 launches businesses with a global reach.
Machine learning discovers new sequences to boost drug delivery
MIT researchers employ machine learning to find powerful peptides that could improve a gene therapy drug for Duchenne muscular dystrophy.