A research team led by NIMS has, for the first time, produced nanoscale images of two key features in an ultra-thin material: ...
Researchers have developed a powerful new software toolbox that allows realistic brain models to be trained directly on data.
Prevailing AI architectures are not moving the needle. We need new ideas. Google Research proposes NL (nested learning). Here ...
This study introduces an innovative cloud-based Genome-Wide Association Study (GWAS) platformthat addresses critical ...
Dementia poses an increasing global health challenge, and the introduction of new drugs with diverse activity profiles ...
Two mathematicians have proved that a straightforward question—how hard is it to untie a knot?—has a complicated answer.
Abstract: In the era of large-scale machine learning, large-scale clusters are extensively used for data processing jobs. However, the state-of-the-art heuristic-based and Deep Reinforcement Learning ...
Crystal structure prediction (CSP) of organic molecules is a critical task, especially in pharmaceuticals and materials science. However, ...
Abstract: Asthma, a prevalent chronic respiratory condition, poses significant challenges to public health worldwide. Accurate and early prediction of asthma risk can greatly aid healthcare ...
An artificial-intelligence algorithm that discovers its own way to learn achieves state-of-the-art performance, including on some tasks it had never encountered before. Joel Lehman is at Lila Sciences ...
School of Chemical Sciences, University of Auckland, Auckland 1010, New Zealand Department of Chemical and Materials Engineering, University of Auckland, Auckland 1142, New Zealand ...
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