4don MSN
Automating microfluidic chip design: Hybrid approach combines machine learning with fluid mechanics
Researchers led by Assoc. Prof. Dr. SavaÅŸ TaÅŸoÄŸlu from the Department of Mechanical Engineering at Koç University have ...
AI factories meet the computational capacity and power requirements of today’s machine-learning and generative AI workloads.
As AI workloads move from centralized cloud infrastructure to distributed edge devices, design priorities have fundamentally ...
In the domain of metamaterials, the push toward automated design has been accelerated by advances in generative machine learning. The advent of deep ...
The agent acquires a vocabulary of neuro-symbolic concepts for objects, relations, and actions, represented through a ...
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 ...
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 ...
The In-Sight 3800 can inspect up to 1,200 parts per minute, leveraging multi-torch illumination for enhanced surface contrast. Built on hybrid AI, it merges AI-based edge learning with rule-based ...
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, ...
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