Unpacking black-box models
Researchers create a mathematical framework to evaluate explanations of machine-learning models and quantify how well people understand them.
Researchers create a mathematical framework to evaluate explanations of machine-learning models and quantify how well people understand them.
The system is orbited by third stellar companion and may have originated near the center of the Milky Way.
A machine-learning model can identify the action in a video clip and label it, without the help of humans.
Natural language processing models capture rich knowledge of words’ meanings through statistics.
Study finds activating a Clean Air Act provision could deliver major climate, health, and economic benefits.
This aspect of syntax helps us do much more than just build sentences, linguist Shigeru Miyagawa contends.
Innovative brain-wide mapping study shows that an “engram,” the ensemble of neurons encoding a memory, is widely distributed and includes regions not previously realized.
The findings will help scientists trace a black hole’s evolution as it feeds on stellar material.
A new neural network approach captures the characteristics of a physical system’s dynamic motion from video, regardless of rendering configuration or image differences.
Their model’s predictions should help researchers improve ocean climate simulations and hone the design of offshore structures.
Researchers build a portable desalination unit that generates clear, clean drinking water without the need for filters or high-pressure pumps.
Linking techniques from machine learning with advanced numerical simulations, MIT researchers take an important step in state-of-the-art predictions for fusion plasmas.
New technology could help generate hydrogen and chemical industry ingredients.
A new artificial intelligence technique only proposes candidate molecules that can actually be produced in a lab.
A new approach could make it possible to detect the elusive Unruh effect in hours, rather than billions of years.