In a new study published in Physical Review Letters, researchers used machine learning to discover multiple new classes of ...
Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...
Researchers at University of Jyväskylä (Finland) advance understanding of gold nanocluster behavior at elevated temperatures ...
Phishing websites remain a persistent cybersecurity threat, exploiting users by imitating trusted online services. New ...
Researchers sought to determine an effective approach to predict postembolization fever in patients undergoing TACE.
By transforming movement into data, Timothy Dunn is reshaping how scientists can study behavior and the brain.
Cardiovascular diseases account for approximately 80% of all deaths caused by known medical conditions, making them the leading cause of mortality worldwide. The present study investigates the use of ...
The historic first image of the Messier 87 (M87) supermassive black hole, captured using the Event Horizon Telescope, has ...
Morning Overview on MSN
Machine learning is turbocharging cheap lithium-ion battery design
Lithium-ion batteries have become the quiet workhorses of the energy transition, but the way they are designed and tested has ...
By Dawn Chmielewski LOS ANGELES, Feb 14 (Reuters) - Laid-off and sidelined by last year's production slowdown, Hollywood visual‑effects veteran Michael Eng discovered a gap in his resume while ...
Tech Xplore on MSN
Why metal microstructures matter: AI pinpoints stress hotspots to guide safer designs
Metals are made of randomly oriented crystals at the microscopic-length scale. The alignment of the crystal faces creates an infinite number of configurations and complex patterns, making simulations ...
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