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Machine learning workflow enables faster, more reliable organic crystal structure prediction
Prediction of crystal structures of organic molecules is a critical task in many industries, especially in pharmaceuticals ...
The authors report that the overwhelming majority of respondents identified data quality, rather than model sophistication, as the most critical factor influencing AI system performance. Errors, ...
Artificial intelligence (AI) is increasingly prevalent, integrated into phone apps, search engines and social media platforms ...
The success of algorithms is indisputable. They are the invisible conductors of precision in a world overloaded with data. From predicting weather and optimizing traffic to diagnosing diseases and ...
Dementia poses an increasing global health challenge, and the introduction of new drugs with diverse activity profiles ...
An AI algorithm converts 2D electron microscope images into accurate 3D structures, cutting analysis time and cost to ...
The field of computational materials science has been profoundly transformed by integrating deep learning and other machine learning methodologies. These sophisticated data-driven approaches have ...
AI is transforming learning – not by replacing people, but by empowering learning professionals to blend data, creativity and empathy.
How can we develop learned algorithms that enable us to obtain sharper computed tomography (CT) scans of complex objects such as works of art? Maximilian B. Kiss explored this question in his thesis, ...
Artificial intelligence is transforming the energy industry by enabling national oil companies to better organize, interpret, ...
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