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 ...
Artificial intelligence is no longer just a software story. It’s quickly becoming a physical-world force—powered by smarter sensors, more capable ...
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 could eventually enable manufacturing plants to react quickly to changing instructions, rather than relying on standardization. [4] It also has implications for worker safety, in that ...
Machine learning-assisted metal additive manufacturing has been widely applied in performance optimization and control, such as process parameter optimization, structural optimization of formed parts, ...
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, ...
The manufacturing industry faces persistent challenges, including a growing skills gap. As experienced workers retire, they take invaluable knowledge with them, potentially creating experience and ...
Learn how APT has evolved over seven decades to now a fully-automated AI-assisted manufacturing process, without learning coding.
Learn how to apply AI in real-world contexts. Explore Manufacturing Analytics, NLP Solutions and Machine Learning in Action. Develop the skills to design, test and deploy practical AI models. Purdue ...
As instigators of immunity, monoclonal antibodies are marvels of modern medicine, lab-made proteins that can treat cancers, autoimmune diseases, and many other conditions. With the market for these ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results