Researchers discover major roadblock in alleviating network congestion
Algorithms designed to ensure multiple users share a network fairly can’t prevent some users from hogging all the bandwidth.
A technique to improve both fairness and accuracy in artificial intelligence
Methods that make a machine-learning model’s predictions more accurate overall can reduce accuracy for underrepresented subgroups. A new approach can help.
Artificial intelligence model finds potential drug molecules a thousand times faster
A geometric deep-learning model is faster and more accurate than state-of-the-art computational models, reducing the chances and costs of drug trial failures.
Startup lets doctors classify skin conditions with the snap of a picture
Piction Health, founded by Susan Conover SM ’15, uses machine learning to help physicians identify and manage skin disease.
Building explainability into the components of machine-learning models
Researchers develop tools to help data scientists make the features used in machine-learning models more understandable for end users.
Robot overcomes uncertainty to retrieve buried objects
This robotic system uses radio frequency signals, computer vision, and complex reasoning to efficiently find items hidden under a pile.
Exploring emerging topics in artificial intelligence policy
The second AI Policy Forum Symposium convened global stakeholders across sectors to discuss critical policy questions in artificial intelligence.
Robots play with play dough
A new system lets robots manipulate soft, deformable material into various shapes from visual inputs, which could one day enable better home assistants.
Researchers release open-source photorealistic simulator for autonomous driving
MIT scientists unveil the first open-source simulation engine capable of constructing realistic environments for deployable training and testing of autonomous vehicles.
Seeing the whole from some of the parts
A new technique in computer vision may enhance our three-dimensional understanding of two-dimensional images.
Student-powered machine learning
Recent MEng graduates reflect on their application-focused research as affiliates of the MIT-IBM Watson AI Lab.
Hallucinating to better text translation
A machine-learning method imagines what a sentence visually looks like, to situate and ground its semantics in the real world, improving translation, like humans can.
Inaugural Day of AI brings new digital literacy to classrooms worldwide
Thousands of children participate in MIT-developed artificial intelligence curriculum.
Is diversity the key to collaboration? New AI research suggests so
A new training approach yields artificial intelligence that adapts to diverse play-styles in a cooperative game, in what could be a win for human-AI teaming.
Emery Brown wins a share of 2022 Gruber Neuroscience Prize
Brown and three other scientists recognized for advancing statistical, theoretical analyses of neuroscience data.