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 ...
Machine learning (ML) and computer vision (CV) technologies are vital branches of artificial intelligence (AI) that help automate tasks and increase efficiency across industries. Experts predict that ...
Researchers at University of Toronto Engineering, led by Professor Yu Zou, are leveraging machine learning to improve additive manufacturing, also commonly known as 3D printing. In a new paper, ...
As AI's integration in the process of designing and improving industrial infrastructure progresses, governance needs to ...
Since 2000, semiconductor manufacturing has increasingly depended on advanced computational techniques, notably first principles calculations and machine learning, with quantum computing anticipated ...
On one side, operations and quality leaders are under pressure to deploy machine learning that can meaningfully reduce ...
Shortly after finding success with a digital collaboration combining the expertise of universities and major pharma players like AstraZeneca and GSK, the United Kingdom’s Centre for Process Innovation ...
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 ...
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 ...
Mastercam's Jesse Trinque helps us learn how computer-aided manufacturing (CAM) software boosts operational efficiency and contributes to environmental sustainability. Computer-aided manufacturing ...
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