Traditional machine vision used rule-based programming for controlled environments but struggled in less controlled settings. Edge learning AI, operating directly on vision systems, enhances machine vision's power and usability, revolutionizing quality assurance and manufacturing processes.
The pandemic has forced a shift in business models, with companies relying on digitization and remote working to cut costs and improve efficiency. Collaborative trends are on the rise, with teams collaborating performing five times better than those who don't.
Deep learning, a subset of machine learning, aims to mimic the learning process of the human brain. Learn how it improves through repetition and requires larger data sets and longer processing times to achieve reliable accuracy and sophistication.
Explore how AI can revolutionize country management models. Discover the results of our test on ChatGPT 3.5. Learn about the potential and limitations of AI for management and quality professionals.
As businesses constantly refine their methods and gather data from various tools to get a clearer picture of how products move, they are increasingly reliant on automation.
One of many driving factors behind this automation growth is that the convergence of multiple technologies — including AI, robotics, and machine vision — has enabled the industry to democratize automation by making it easier to deploy and operate.
Would it shock you to learn that spending on artificial intelligence is on the rise? According to respondents of our Annual Quality Spending Survey, 55% of companies expect to increase their spending on AI for 2024.