Demos include PC-based and FS42 camera-based deep learning optical character recognition, deep learning anomaly detection on the newly launched Zebra NS42 camera (Credit: Zebra) Machine vision, edge ...
Manufacturing companies are charging ahead to buy powerful AI tools, yet many teams can’t keep pace. What’s next for AI and ...
Fictiv combines AI tools with precision welding and assembly to cut prototype-to-production time for complex manufacturing ...
Engineers are no longer asking if AM can deliver; instead, they’re asking how to make it work reliably, affordably, and at ...
MIT researchers have designed a printable aluminum alloy that’s five times stronger than cast aluminum and holds up at ...
Manufacturing technologies have been the first domain to experience this transformation. The review documents how artificial ...
A new workshop report titled “Artificial Intelligence with Open and Scaled Data Sharing in Semiconductor Manufacturing” was published by NIST. “The Workshop sponsored by the National Science ...
Abstract: Real-time decision making is supported by data-hungry emerging technologies such as machine learning and digital twins. Innovations in manufacturing process control utilizing these ...
Artificial intelligence (AI) benefits many industries but is limited by the so-called "curse of dimensionality," which arises when machine learning models handle data with many features. This issue is ...
Since 2000, semiconductor manufacturing has increasingly depended on advanced computational techniques, notably first principles calculations and machine learning, with quantum computing anticipated ...
A case study in aerospace manufacturing provides an overview of how physics-informed digital twin systems transform robotics processes—from adaptive process planning and real-time process monitoring ...
Researchers at Korea University have developed a machine learning model for predicting sheet resistance in phosphorus oxychloride (POCl3) doping processes in solar cell manufacturing. “Our study aims ...
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