In a new study published in Physical Review Letters, researchers used machine learning to discover multiple new classes of ...
17don MSN
Automating microfluidic chip design: Hybrid approach combines machine learning with fluid mechanics
Researchers led by Assoc. Prof. Dr. Savaş Taşoğlu from the Department of Mechanical Engineering at Koç University have ...
Microelectromechanical systems (MEMS) electrothermal actuators are widely used in applications ranging from micro-optics and microfluidics to nanomaterial testing, thanks to their compact size and ...
Machine learning algorithms that output human-readable equations and design rules are transforming how electrocatalysts for ...
SANTA CLARA, CA, Feb. 17, 2026 (GLOBE NEWSWIRE) -- ...
Behavior-Derived Intelligence Transforms How Recovery Is Supported, Measured, and Sustained Human behavior leaves a ...
10hon MSNOpinion
The greatest risk of AI in higher education isn’t cheating – it’s the erosion of learning itself
Public debate about artificial intelligence in higher education has largely orbited a familiar worry: cheating. Will students ...
Researchers, including the University of Tennessee, Knoxville’s Belinda Akpa, are using predictive modeling and machine ...
Indian semiconductor startup Vervesemi raises $10 million to scale ML-enabled analogue chips for EVs, smart energy and ...
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 ...
In the first instalment of LCGC International's interview series exploring how artificial intelligence (AI)/machine learning ...
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