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Researchers pioneer quantum-embedded graph neural networks for breakthrough drug molecule prediction
In drug development, accurately predicting molecular properties is key to efficiently screening candidate drugs. Graph neural networks study drug molecules by treating atoms as "dots" and chemical ...
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How Do Computers Work? Learn the Essentials of Computer ScienceEver wondered how computers work, or what the core concepts of computer science are? In this video, we’ll cover the ...
An AI-powered tool from Carnegie Mellon University and collaborators is helping uncover genetic clues to rare diseases, ...
Banks, miners and police forces in Australia are among those using graph databases to provide the context and data relationships needed for more accurate and trustworthy AI, moving projects from exper ...
Artificial Intelligence systems powered by deep learning are changing how we work, communicate, and make decisions. If we ...
Spreadsheets, Slack messages, and files linked to an alleged group of North Korean IT workers expose their meticulous ...
“It’s impossible to fix hallucinations for good, but OpenAI do claim that GPT-5 has reduced hallucinations. However we know from experience that as the model is trained and upgraded this tendency to ...
OP-ED. Media historian Jérôme Bourdon reminds readers that artificial intelligence is part of a long human history, and ...
Deep neural networks (DNNs), the machine learning algorithms underpinning the functioning of large language models (LLMs) and ...
The Board of Directors, its founding President, and the employees of Artprice are mobilizing all resources toward AI, ...
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