Machine Learning: Manufacturer, reports, information at INDUSTRIAL Production

Maintenance in the 4.0 age

At Emo 2019, Igus will be demonstrating how machine tool manufacturers and customers can take their maintenance to a new level and reduce costs with smart machine components made from high-performance plastics.

Edge Computing

Edge computers in production

Pure cloud computing was not practical enough for the production-related industry, so another solution had to be found. This was the birth of edge computing. This means that intelligence and real-time control are being introduced in the machinery, not at the data center.

Machine Learning

What is artificial intelligence?

Artificial intelligence is regarded as a pioneering technology of the future, and hardly any digital strategy today can do without AI. Nevertheless, many managers remain skeptical as to whether it can deliver what it promises.

Handling technology

Gripper teaches itself to grip

Autonomous gripping. While gripping processes have primarily been geared towards high productivity and process reliability to date, flexibility is also coming into focus in conjunction with the smart factory. In the future, grippers will enable flexible operations through to autonomous handling scenarios.

Data analysis in the cloud

The secure and transparent cloud

Industry 4.0 interlinks production and logistics with information and communication technology. The focus on industrial production and the application of defined standards distinguishes Industry 4.0 from the broader IoT approach of the Industrial Internet Consortium.

Video analysis with machine learning

Edge analytics for agile automation

HPE uses video quality assurance with machine learning in Foxconn's server production in Kutna Hora. The challenges lie in significantly shortening the learning process on the one hand and performing image processing in real time without placing a heavy load on the networks on the other.

Personnel

Abas Software wins Dr. Matthias Laux as CTO

Abas Software has appointed Dr. Matthias Laux, a cloud expert, as its new CTO. He is now responsible for the Karlsruhe-based ERP specialist's technology strategy.

Machine learning

Real-time ML in control technology

Beckhoff offers a solution for machine learning (ML) integrated in TwinCAT 3. The advantages of system openness through the use of established standards are also available for ML applications.

Stand-alone controls

Self-sufficient for small and medium-sized tasks

Decentralized stand-alone control systems offer advantages over centralized solutions in many applications. They reduce system-wide data traffic, are insensitive to interference in the network, facilitate troubleshooting and can be combined very well with manual processes.

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