The September 2021 manufacturing overview brought together six areas of interest: predictive maintenance, automation, quality inspection, generative design, workplace safety and production costs. The emphasis was on using operational data to improve specific factory processes.
Maintenance models look for signs that equipment may need attention. Visual inspection systems examine products for defects. Design tools explore alternatives within engineering constraints, while planning and automation systems connect decisions to production.
These applications cannot be judged solely by a model’s output. Inspection errors, downtime, integration with equipment and the response of operators all affect the result. The article’s broad survey is a useful record of manufacturing priorities in 2021, but claimed benefits need to be evaluated for the actual line and process. Automation also leaves an important role for human supervision and engineering judgement.
The original November 2022 explainer introduced three terms often grouped together under artificial intelligence: narrow AI, general AI and superintelligence. They describe different levels of capability, rather than three interchangeable labels for the same technology.
Our October 2022 industry overview looked at five areas exploring machine learning: healthcare, transport, finance, retail and property valuation. Each used prediction or pattern recognition, but with very different data and consequences for mistakes.
The October 2022 archive explored how computer-aided systems could support clinicians by organising images, records and monitoring data. Its central theme was assistance with information-heavy work, with diagnosis and treatment remaining clinical responsibilities.
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