Regulatory bodies like the FDA and MHRA are adapting guidelines to accommodate the evolving AI landscape, stressing the importance of innovative compliance approaches alongside traditional software regulations, including audit trails, electronic records, and signatures.

We explore two critical applications of AI and ML in quality management: predictive quality analytics and automated quality inspections.

Advancements in AI and machine learning offer hope to revolutionize industrial automation and tackle modern manufacturing challenges.

Manufacturers are prioritizing low-code AI tools to simplify application development, enabling non-experts to create and customize AI workflows.

Quality training is crucial for success in rapidly evolving industries like additive manufacturing, welding, and nondestructive testing.

The aerospace industry constantly seeks new technologies for a competitive edge and enhanced capability. AI and maching learning in additive manufacturing offer significant value for meeting industry needs.

New calibration software trends simplify processes, enhance traceability, ensure compliance, and drive data-driven accuracy in response to increasing demands for precision.

ROME—Automation firm Comau and aerospace supplier Leonardo S.p.A. are working together to develop self-adaptive robotic technology that can autonomously inspect helicopter blades up to 7 meters long.

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.

The global AI industry continues surging with no signs of slowing down any time soon.