The key idea behind our framework is that life produces molecules with purpose, while nonliving chemistry does not. Cells ...
In food drying applications, machine learning has demonstrated strong capability in predicting drying rates, moisture ...
Reverse Logistics, Artificial Intelligence, Circular Economy, Supply Chain Management, Sustainability, Machine Learning Share and Cite: Waditwar, P. (2026) De-Risking Returns: How AI Can Reinvent Big ...
The software tool uses self-supervised learning to detect long-term defects in solar assets weeks or years before ...
A booth demo highlights why the Cognex In-Sight 3800 makes quick work of executing inspection tasks on high-speed ...
US researchers say a self-supervised machine-learning tool can identify long-term physical defects in solar assets weeks or years before conventional inspections, potentially reducing operations and ...
By: Yasin Turkcan, SVP, Product & Innovation at Gainwell Technologies | Integrating AI and analytics to improve SNAP payment ...
Today, AI is covering the whole stack of data analysis-based applications, starting at the wafer level and culminating in PCB assembly. Once a design is in assembly, AI primarily makes way into ...
External defect detection is a crucial step in Orah mandarin citrus grading. However, in existing defect detection algorithms by image processing, Orah mandarin surfaces exhibit characteristics such ...
As advanced packaging pushes deeper into the sub-10µm realm, traditional inspection and metrology systems are being forced to evolve with it. Hybrid bonding, a critical enabler of vertical integration ...
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