Generating new molecules with graph grammar
An efficient machine-learning method uses chemical knowledge to create a learnable grammar with production rules to build synthesizable monomers and polymers.
Featured video: L. Rafael Reif on the power of education
At Monterrey Tec, MIT’s president discusses the impact of education in addressing global issues.
Solving the challenges of robotic pizza-making
A new technique could enable a robot to manipulate squishy objects like pizza dough or soft materials like clothing.
Q&A: Alberto Rodriguez on teaching a robot to find your keys
Associate professor and principal investigator with the MIT Schwarzman College of Computing’s Science Hub discusses the future of robotics and the importance of industry-academia collaborations.
New program bolsters innovation in next-generation artificial intelligence hardware
MIT AI Hardware Program launches with five inaugural companies to advance AI technologies for the next decade.
Security tool guarantees privacy in surveillance footage
“Privid” could help officials gather secure public health data or enable transportation departments to monitor the density and flow of pedestrians, without learning personal information about people.
A tool for predicting the future
Researchers design a user-friendly interface that helps nonexperts make forecasts using data collected over time.
3 Questions: How the MIT mini cheetah learns to run
CSAIL scientists came up with a learning pipeline for the four-legged robot that learns to run entirely by trial and error in simulation.
Handheld surgical robot can help stem fatal blood loss
The AI-Guided Ultrasound Intervention Device is a lifesaving technology that helps a range of users deliver complex medical interventions at the point of injury.
How artificial intelligence can help combat systemic racism
MLK Visiting Professor S. Craig Watkins looks beyond algorithm bias to an AI future where models more effectively deal with systemic inequality.
Learning to fly
Veteran and PhD student Andrea Henshall has used MIT Open Learning to soar from the Air Force to multiple aeronautics degrees.
When it comes to AI, can we ditch the datasets?
A machine-learning model for image classification that’s trained using synthetic data can rival one trained on the real thing, a study shows.
Computational modeling guides development of new materials
Chemical engineers use neural networks to discover the properties of metal-organic frameworks, for catalysis and other applications.
Unlocking new doors to artificial intelligence
MEng graduate students engage with IBM to develop their research skills and solutions to real-world problems.
3 Questions: Fotini Christia on racial equity and data science
A new MIT-wide effort launched by the Institute for Data, Systems, and Society uses social science and computation to address systemic racism.