MIT system demonstrates greater than 100-fold improvement in energy efficiency and a 25-fold improvement in compute density compared with current systems.
“PhotoGuard,” developed by MIT CSAIL researchers, prevents unauthorized image manipulation, safeguarding authenticity in the era of advanced generative models.
A new technique helps a nontechnical user understand why a robot failed, and then fine-tune it with minimal effort to perform a task effectively.
In China, the use of AI-driven facial recognition helps the regime repress dissent while enhancing the technology, researchers report.
A new dataset can help scientists develop automatic systems that generate richer, more descriptive captions for online charts.
By applying a language model to protein-drug interactions, researchers can quickly screen large libraries of potential drug compounds.
A new machine-learning model makes more accurate predictions about ocean currents, which could help with tracking plastic pollution and oil spills, and aid in search and rescue.
A new computer vision system turns any shiny object into a camera of sorts, enabling an observer to see around corners or beyond obstructions.
Researchers identify a property that helps computer vision models learn to represent the visual world in a more stable, predictable way.
“DribbleBot” can maneuver a soccer ball on landscapes such as sand, gravel, mud, and snow, using reinforcement learning to adapt to varying ball dynamics.
