The Nature Index 2025 Research Leaders — previously known as Annual Tables — reveal the leading institutions and countries/territories in the natural and health sciences, according to their output in ...
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Machine learning workflow enables faster, more reliable organic crystal structure prediction
"Together with an efficient neural network potential for structure relaxation, this method enables a more direct and reliable path to identifying experimentally observed crystal arrangements." Their ...
This article is part of our reviews of AI research papers, a series of posts that explore the latest findings in artificial intelligence. With their millions and billions of numerical parameters, deep ...
Learn about the most prominent types of modern neural networks such as feedforward, recurrent, convolutional, and transformer networks, and their use cases in modern AI. Neural networks are the ...
“Neural networks are currently the most powerful tools in artificial intelligence,” said Sebastian Wetzel, a researcher at the Perimeter Institute for Theoretical Physics. “When we scale them up to ...
Scientists increasingly leverage organoid systems to study neuronal signaling and disease mechanisms, but the complexity of generating and analyzing mature neural tissues manually presents practical ...
MOUNTAIN VIEW, Calif.--(BUSINESS WIRE)--Inscopix, Inc., a neuroscience company helping decode the brain for tomorrow’s treatments, announced that it is launching the Inscopix Data Exploration, ...
The initial research papers date back to 2018, but for most, the notion of liquid networks (or liquid neural networks) is a new one. It was “Liquid Time-constant Networks,” published at the tail end ...
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