
Mathworks at the embedded world 2026 (www.industrial-production.de)
Embedded AI for decentralized decisions
With embedded AI, artificial intelligence is moving from the cloud directly to where it is needed - to the devices at the edge of the network. This development is being driven by the following factors: Embedded hardware with low power consumption ensures cost and energy savings.

Practice meets perspective (www.computer-automation.de)
How AI is shaping the industry of tomorrow
The first Industrial Technology Summit brings together experts, innovators and decision-makers from industry, IT and manufacturing to discuss the current status and future potential of artificial intelligence and machine learning.

Development of 5G and 6G (www.computer-automation.de)
Mathworks and Altera cooperate
Mathworks and Altera cooperate to advance the development of wireless systems for Altera FPGAs.

Mathworks (www.computer-automation.de)
Advancing Machine Learning and Predictive Maintenance
Matlab and Simulink are instrumental in developing and deploying Machine Learning (ML) models, offering robust tools for feature engineering, training, and parameter optimization. Dr. Rainer Mümmler, Principle Application Engineer at Mathworks, explains the details in an interview.

Comment (www.industrial-production.de)
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.

Virtual commissioning (www.industrial-production.de)
Simulate production systems
Modern production machines are not only equipped with more computing power and store more measurement data than ever before, they are also becoming increasingly complex. This can lead to delays during commissioning and errors during operation. Virtual commissioning provides a remedy.

Basics - Artificial intelligence (www.industrial-production.de)
Artificial intelligence - definition, terms, application examples
What is artificial intelligence? This basic article explains the origins, explains subcategories such as machine learning, deep learning and reinforcement learning and provides an overview of current applications of the technologies.

Smart Factory (www.industrial-production.de)
Predictive maintenance with a digital twin
When industrial equipment fails, the real problem is often not the cost of spare parts, but the forced downtime. The article shows the design of a predictive maintenance algorithm for a triplex pump using data obtained from the simulation of a digital twin of the pump under different failure conditions.

Artificial intelligence (www.industrial-production.de)
The AI trends of 2019
Artificial intelligence is becoming increasingly important. One reason to summarize six trends that will significantly determine the development and application of AI this year and are important for both engineers and scientists.

Models for deep learning (www.industrial-production.de)
Accelerating artificial intelligence
Mathworks announces that Matlab now offers integration with Nvidia TensorRT via GPU Coder. This will make it easier for engineers and scientists to develop new models for artificial intelligence and deep learning in Matlab.

Deep learning (www.industrial-production.de)
When the machine decides
In deep learning, a computer model learns to perform classification tasks directly from images, texts or sounds - without human intervention.

Machine learning (www.industrial-production.de)
Implementing machine learning
This year, MathWorks' focus at Embedded World was on the implementation of machine learning and deep learning algorithms in embedded systems.
