Research authored by partners from the Bottle Consortium and published in Nature Communications this month aims to challenge ...
The search space for protein engineering grows exponentially with complexity. A protein of just 100 amino acids has 20^100 ...
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 ...
The Register on MSN
Machine learning could yield faster, cheaper lithium-ion battery development
Researchers claim model can cut years from testing cycles Scientists have developed a machine learning method that could ...
Plasma mirrors capable of withstanding the intensity of powerful lasers are being designed through an emerging machine learning framework. Researchers in Physics and Computer Science at the University ...
High-power lasers are promising tools for developing new solutions for healthcare, manufacturing and nuclear fusion. However, ...
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 ...
In thinking about how so many of the recent events Machine Design has covered have focused on artificial intelligence, I can’t help but wonder how our readers might be using this technology in their ...
Machine learning algorithms that output human-readable equations and design rules are transforming how electrocatalysts for ...
Chenbro (TWSE: 8210), a pioneer in the design and manufacturing of own-brand rackmount systems, is thrilled to unveil the SR215 tower server chassis, meticulously designed to meet diverse market needs ...
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