New AI tool calculates materials’ stress and strain based on photos
The advance could accelerate engineers’ design process by eliminating the need to solve complex equations.
From diabetes to Covid-19, Better World (Health) showcases MIT research in action
MIT alumni and friends from around the globe attended an online event that featured presentations from Institute leaders, faculty, and alumni about human health-related research.
MIT launches new data privacy-focused initiative
Future of Data, Trust, and Privacy initiative aims to address AI-driven analytics and changing attitudes about personal data.
Toward deep-learning models that can reason about code more like humans
Researchers propose a method for finding and fixing weaknesses in automated programming tools.
One-stop machine learning platform turns health care data into insights
Cardea software system aims to bring the power of prediction to hospitals by streamlining complex machine learning processes.
An artificial intelligence tool that can help detect melanoma
Using deep convolutional neural networks, researchers devise a system that quickly analyzes wide-field images of patients’ skin in order to more efficiently detect cancer.
A streamlined approach to determining thermal properties of crystalline solids and alloys
MIT research team finds machine learning techniques offer big advantages over standard experimental and theoretical approaches.
Tactile textiles sense movement via touch
By measuring a person’s movements and poses, smart clothes developed at MIT CSAIL could be used for athletic training, rehabilitation, or health-monitoring for elder-care facilities.
Big data dreams for tiny technologies
MIT research combines machine learning with nanoparticle design for personalized drug delivery.
Homing in on longer-lasting perovskite solar cells
A new approach to identifying useful formulations could help solve the degradation issue for these promising new lightweight photovoltaics.
3 Questions: Artificial intelligence for health care equity
Regina Barzilay, Fotini Christia, and Collin Stultz describe how artificial intelligence and machine learning can support fairness, personalization, and inclusiveness in health care.
More transparency and understanding into machine behaviors
A new tool helps humans better understand and develop artificial intelligence models by searching and highlighting representative scenarios.
Researchers’ algorithm designs soft robots that sense
Deep-learning technique optimizes the arrangement of sensors on a robot’s body to ensure efficient operation.
Faster drug discovery through machine learning
New technique speeds up calculations of drug molecules’ binding affinity to proteins.
Artificial intelligence that more closely mimics the mind
Leveraging years of MIT cognitive science research, Nara Logics incorporates findings about the brain into its AI platform.