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.
Researchers propose a method for finding and fixing weaknesses in automated programming tools.
MIT researchers have developed a publicly available model based on physics and data from past spreading events.
Andres Sevtsuk’s new work estimates foot traffic in cities — so planners and developers can study the flow of people, not just vehicles.
New, reversible CRISPR method can control gene expression while leaving underlying DNA sequence unchanged.
Certain ultralight bosons would be expected to put the brakes on black holes, but new results show no such slowdown.
How bioenergy with carbon capture and storage could help stabilize the climate without breaking the bank.
New research offers insight for city planning and workforce development.
Cardea software system aims to bring the power of prediction to hospitals by streamlining complex machine learning processes.
Deterministic lateral displacement assay can rapidly assess host inflammatory response, identifying a potentially life-threatening hyper-aggressive immune response.
MIT spinout OPT Industries uses novel additive manufacturing systems to create intricately-designed products.
Encapsulating modified bacteria in tough hydrogel spheres prevents them from spreading genes to other microbes.
Climate projections could be off by five years, researchers find.
MIT research team finds machine learning techniques offer big advantages over standard experimental and theoretical approaches.
What motivates people in remote communities to decide to buy and use a particular energy source?
System uses penetrative radio frequency to pinpoint items, even when they’re hidden from view.