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A newly developed generative AI model is helping researchers explore protein dynamics with increased speed. The deep learning system, called BioEmu, predicts the full range of conformations a protein ...
A major scientific advance in protein modeling developed by Microsoft Research AI for Science, has been published in Science.
Isolation Forest detects anomalies by isolating observations. It builds binary trees (called iTrees) by recursively ...
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AZoLifeSciences on MSNMachine Learning Uncovers Hidden Role of Glial CellsLong overlooked and underestimated, glial cells – non-neuronal cells that support, protect and communicate with neurons – are ...
Effective fault diagnosis is essential to ensure the safe and reliable operation of equipment. In recent years, several transfer learning-based methods for diagnosing faults under variable working ...
Microsoft’s artificial intelligence tool BioEmu can predict the multiple conformational states of a protein, giving insight into how a protein moves and its potential function.
A new study published in Scientific Reports has introduced a promising diagnostic tool that could dramatically shorten the long wait times many families face when seeking evaluations for autism and ...
Let’s rethink distribution in the age of acceleration By Rhonda Robati, Executive Vice President, Asia Pacific, Crayon Jun 12, 2025 3 mins Cloud Computing Distribution news ...
Deep learning-based approaches to metal artifact reduction have recently been proposed, yet these methods still struggle to effectively remove metal artifacts in head and neck computed tomography (CT) ...
python machine-learning awesome r probability uncertainty datascience probability-distribution awesome-list machinelearning deeplearning probability-distributions uncertainty-quantification ...
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