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Machine Learning

Artificial intelligence

Reliable robots, cobots and AGVs with embedded AI

Assuming an average machine hourly rate of 2,500 euros, the failure of an industrial robot is associated with high costs. For the first time, local AI makes it possible to reliably implement predictive maintenance from the gearbox to the gripper without expensive industrial PCs, as well as to take the collaboration, safety and intelligence of automated guided vehicles and cobots to the next evolutionary stage.

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Not better! Different!

AI vision brings additional opportunities

The seamless integration of AI into the consumer sector has helped to improve our quality of life and make interactions with technology more efficient. In industry, AI vision with machine learning opens up new possibilities that are not covered by rule-based image processing. Nevertheless, we are still a long way from widespread industrial use of AI methods. Is a rethink necessary?

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AI trends for engineers: where is the journey heading?

According to Gartner, companies that have adopted AI engineering practices have a competitive advantage: by 2026, they could outperform their competitors by around 25 percent in terms of the number and time required to operationalize AI models. Johanna Pingel, Product Marketing Manager for AI at MathWorks, explains which AI trends engineers should keep an eye on and which challenges need to be overcome.

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