Although deep learning–based image recognition technology is rapidly advancing, it still remains difficult to clearly explain ...
Biological neural networks are immensely complex systems underlying all aspects of cognition and behavior. Despite significant advances in neuroscience, a ...
Research shows how artificial intelligence is revolutionizing plastics manufacturing through material development and process ...
Angie received her M.S. in computer science with a concentration in machine learning from The George Washington University ...
A fast and accurate surrogate model screens over 10,000 possible metal-oxide supports for a platinum nanocatalyst to prevent sintering under high temperatures.
Blending ‘old-fashioned’ logic systems with the neural networks that power large language models is one of the hottest trends ...
Abstract: This article presents a predictive model using supervised machine learning, highlighting the importance of advanced optimization algorithms. Our approach focuses on a nonsmooth loss function ...
A typical free energy diagram plots the Gibbs free energy (G) on the y-axis against the reaction coordinate on the x-axis.
Despite the rapid invention and widespread use of artificial intelligence (AI), the federal government is just beginning to shape the ...
A research team led by NIMS has, for the first time, produced nanoscale images of two key features in an ultra-thin material: ...
In part two of this three-part series, AI scientists immerse themselves in the world of primatology to accelerate behavioral ...
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