AI-Services: NASE – Neural Architecture Search Engine

The amount of data is continuously increasing, and many companies are already leveraging the high economic value of the information hidden inside. Edge devices in particular, such as mobile phones and vehicles, with their large number of sensors, are producing more and more data, offering great potential for innovation.

One hurdle is that the data often has to be evaluated in real time on site, but the computing effort can be enormous. It is essential to look for efficient solutions. Efficiency can be defined as speed, power consumption, model size and/or much more.

However, one of the most difficult and time-consuming aspects is the design of an optimal neural network architecture that meets all criteria. To create such optimal architectures, you need senior deep learning scientist with lots of experience.

Efficiency Begins With the Algorithm

For us, efficiency begins with the algorithm. We use the most modern methods of automatic neural network search, which can deliver networks that can be efficient in many aspects at the same time. Our search is able to consider peculiarities of the underlying platform and incorporate them into the network design. The algorithm adapts to the hardware.

We offer you our technology and computing capacities to find an optimal individual neural architecture that meets your requirements. You provide us with your data sets, and we use our supercomputers and our framework to automatically search for the best model. You can then use the network directly for your tasks. If networks already exist, they can be used as a starting point, and parts of the architecture can be designed by hand.