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.
A machine-learning model for image classification that’s trained using synthetic data can rival one trained on the real thing, a study shows.
Supported by a $100 million founding gift, the academy will deepen the integration of design across the Institute and beyond.
Students propose solutions to re-imagine the customer experience for Hong Kong’s airport city development.
A new cleaning method could remove dust on solar installations in water-limited regions, improving overall efficiency.
Chemical engineers use neural networks to discover the properties of metal-organic frameworks, for catalysis and other applications.
Professors Kamrin, Lang, McGee, and Shoulders are honored for exceptional undergraduate teaching.
MIT research scientist explores how cool pavements can offer climate change solutions in more than just the summer.
In collaboration with industry representatives, Momentum students tackle wildfire suppression and search-and-rescue missions while building soft skills.
MIT chemical engineers create affordable, sustainable soap-based system to eliminate emerging micropollutants in water.
Life sciences class brings biotech industry experience into the classroom with part-time internships for graduate students.
A new approach enables architects to use discarded tree forks as load-bearing joints in their structures.
A method for stabilizing the interfaces in solid-state lithium-ion batteries opens new possibilities.
In his new role, Shah will help students and faculty bring innovative technologies from the lab to the marketplace.
The computer-vision technique behind these maps could help avoid contrail production, reducing aviation’s climate impact.
Faculty leaders discuss the opportunities and obstacles in developing, scaling, and implementing their work rapidly.