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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 ...
As AI workloads move from centralized cloud infrastructure to distributed edge devices, design priorities have fundamentally ...
The growth and impact of artificial intelligence are limited by the power and energy that it takes to train machine learning ...
Human AI collaboration creativity depends on design. Cambridge research shows creativity improves when workflows guide ...
Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with pseudo-inverse training implemented using JavaScript. Compared to other training techniques, such as ...
Background Early graft failure within 90 postoperative days is the leading cause of mortality after heart transplantation. Existing risk scores, based on linear regression, often struggle to capture ...
Generative AI models have been used to create enormous libraries of theoretical materials that could help solve all kinds of ...
Tech Xplore on MSN
New AI system fixes 3D printing defects in real time
Additive manufacturing has revolutionized manufacturing by enabling customized, cost-effective products with minimal waste. However, with the majority of 3D printers operating on open-loop systems, ...
Existing technology is being upcycled and deployed in new ways as companies seek to measure more data, more accurately.
AI is rapidly transforming hospital medicine by supporting clinical workflows, enhancing decision-making, and reducing ...
Over the past year, I've been working on a challenge that faces every organization implementing Zero Trust: how do you manage ...
Discover how researchers are overcoming the limitations of the undruggable target in drug discovery using novel approaches ...
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