Eaton manufacturer Bullen Ultrasonics is celebrating a $23,100 state grant and a University of Dayton partnership to apply AI and machine learning to its manufacturing work. Working with Cincinnati ...
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The Individual Cup Control Gripper (ICC Gripper) leverages the intelligence of Plus One's PickOne vision software to grasp and singulate parcels using the optimal configuration of active suction cups.
In a new era of industrial revolution, intelligence is key. Knowing how product design can affect manufacturability or how production processes can affect finished quality helps manufacturers make ...
Bullen’s Autonomous Process Optimization initiative with Phenx uses machine learning and digital twin modeling to improve ...
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 ...
Researchers are leveraging machine learning to improve additive manufacturing, also commonly known as 3D printing. The team introduces a new framework they've dubbed the Accurate Inverse process ...
More aggressive feature scaling and increasingly complex transistor structures are driving a steady increase in process complexity, increasing the risk that a specified pattern may not be ...
Machine learning has transformed tool condition monitoring by enabling non-invasive, data-driven assessment of cutting tool health. Modern systems deploy a range of sensors—vibration, cutting force, ...
The Korea SMEs and Startups Agency is launching a program to train 600 specialists for the smart manufacturing sector, ...
Generative AI (GenAI) services like ChatGPT and Google Gemini vividly illustrate how artificial intelligence (AI) technology can derive value from volumes of data that are too vast for humans to ...
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