Artificial Intelligence

As the volume of data for all areas of life and applications increases, demand is growing for intelligent systems that can autonomously evaluate and interpret such data, and translate it into decisions and actions.

This is where artificial intelligence (AI) methods and concepts come into play. They often involve highly complex evaluations based on neural networks, which perform at their most efficient with hardware architectures inspired by the brain.

In addition, special latency, efficiency and security requirements often make it necessary to evaluate the data directly where it is generated. That’s why we focus on local data processing and direct our efforts toward giving devices and systems artificial intelligence.