Neuromorphics Lab

Neuromorphics Lab

Energy-efficient AI for tomorrow’s autonomous devices

Neuromorphics Lab

Artificial intelligence (AI) is an energy-consuming function that often acts as a roadblock in electronic and mobile devices. In most cases the underlying processes take place on large servers with incoming and outgoing data streams. The Neuromorphics Lab demonstrates how neuromorphic computing is reinventing computer architecture from the ground up using insights from the human brain, thus offering astoundingly energy- and cost-saving hardware for integrating AI technology without costly and heavy batteries. Furthermore, latency is drastically reduced thanks to event-controlled sensor technology and onboard data processing.

With the Neuromorphics Lab, fortiss offers a flexible experimental platform for testing AI applications with neuromorphic support, presenting a one-of-a-kind simulation environment in which a virtual robot body is controlled by a neuromorphic algorithm. Autonomous robot locomotion, given its complexity and the limited battery capacity, is one of the challenges of AI. Robot movements are calculated using a neuromorphic “Loihi” chip based on spiking (such as human brain pulses) neural networks (SNN), thus providing the user an immersive simulation. In the future, the Neuromorphics Lab will feature a fully-autonomous, Loihi-controlled robot arm and drone simulation as a flying robot with AI sensor technology.

A wide range of robotic and everyday systems will benefit from lower battery costs and weight and extended battery life through neuromorphic computing, thus bringing them to life. This development will enable a multitude of industrial applications in the area of the Internet of Things (IoT), mobile robots, autonomous vehicles and aerospace. Concrete examples include voice recognition in vehicles, movement detection in drones, gesture classification in household appliances, augmented reality in smartphones, liquids analysis in medical instruments and debris detection in mini-satellites.


Neuromorphic computing embodies AI on mobile and edge devices. In this context the Neuromorphics Lab offers a flexible experiment platform for testing AI applications with neuromorphic support.


  • Information
    Opportunity for informal exchange about the state of the art based on concrete application examples in the field of neuromorphic computing.
  • Events
    Informational events provide broad expertise on AI on mobile and edge devices.
  • Research
    • Porting of mobile AI applications to neuromorphic hardware
    • Provisioning of latency- and energy-efficient systems that can be isolated from the network
  • Consulting
    Consulting on technical feasibility, industrial maturity (TRL)
  • Network
    The Neuromorphic Computing (NC) field of competence is part of the Intel Neuromorphic Research Team and is thus networked with more than 90 worldwide top laboratories in the field of NC.
 Axel von Arnim

Your contact

Axel von Arnim

+49 89 3603522 538