Using AI to protect against AI image manipulation
“PhotoGuard,” developed by MIT CSAIL researchers, prevents unauthorized image manipulation, safeguarding authenticity in the era of advanced generative models.
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“PhotoGuard,” developed by MIT CSAIL researchers, prevents unauthorized image manipulation, safeguarding authenticity in the era of advanced generative models.
BioAutoMATED, an open-source, automated machine-learning platform, aims to help democratize artificial intelligence for research labs.
Researchers develop an algorithm that decides when a “student” machine should follow its teacher, and when it should learn on its own.
Researchers create a new simulation tool for robots to manipulate complex fluids in a step toward helping them more effortlessly assist with daily tasks.
“DribbleBot” can maneuver a soccer ball on landscapes such as sand, gravel, mud, and snow, using reinforcement learning to adapt to varying ball dynamics.
Codon compiles Python code to run more efficiently and effectively while allowing for customization and adaptation to various domains.
The chip, which can decipher any encoded signal, could enable lower-cost devices that perform better while requiring less hardware.
Stacking light-emitting diodes instead of placing them side by side could enable fully immersive virtual reality displays and higher-resolution digital screens.
This computational tool can generate an optimal design for a complex fluidic device such as a combustion engine or a hydraulic pump.
New research enables users to search for information without revealing their queries, based on a method that is 30 times faster than comparable prior techniques.
Researchers make headway in solving a longstanding problem of balancing curious “exploration” versus “exploitation” of known pathways in reinforcement learning.
New stamp-sized ultrasound adhesives produce clear images of heart, lungs, and other internal organs.
MIT engineers expand the capabilities of these ultrasensitive nanoscale detectors, with potential uses for quantum computing and biological sensing.
Researchers demonstrate two security methods that efficiently protect analog-to-digital converters from powerful attacks that aim to steal user data.
Researchers developed a new system that can make computer programs run faster, while guaranteeing accuracy.