Articles and background information on the topic
Innovations in the fields of artificial intelligence and embedded vision as well as special processors and development environments for image processing open up a broader spectrum for the technology. An overview.
read more...Machine vision for reliable quality assurance via plug & play and without a great deal of specialist knowledge - conventional image processing systems are generally a long way from this ideal. A German-Israeli start-up wants to change this.
read more...The topic of machine learning raises a number of questions: Which data should be analyzed using which methods? What role does the user play in the data analysis process? And what about the real-time capability, explainability and reliability of the results?
read more...With the technologies and processes of deep learning, industrial sensor technology is on the verge of a far-reaching leap in functionality. Image-based sensors in particular are a field with great potential.
read more...Advances in the field of end-of-arm tooling (EoAT) make it possible: grippers and sensors are becoming increasingly intelligent and easier to operate. This expands the range of applications for collaborative robots and quickly pays for itself.
read more...The integration of AI in industrial applications is increasing the need for computing solutions that can cope with the complexity of the tasks involved. In addition to the CPU, processors specialized in AI algorithms and large amounts of data are becoming increasingly important.
read more...Flexible and cost-transparent booking of temporarily required resources - a promise that cloud providers often fail to keep: Although the offerings are comprehensive and powerful, they are just as confusing and lack transparency in terms of price. A plea for more cloud usability.
read more...The number of real AI projects in mechanical and plant engineering is still very limited. This will soon change with a new generation of engineers and, above all, with the market launch of corresponding development tools.
read more...Computer-based vision is becoming increasingly important for robotic systems. But how can hard real-time applications and time-sensitive networking be combined with vision systems and artificial intelligence (AI)?
read more...Today's robots learn, adapt and develop 'autonomously'. The secret behind this: Deep learning.
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