1 citations · 1 across the 3 of their papers we have counts for
4 papers
CLANE: Continual Learning of Actions on Neuromorphic Hardware from Event Cameras
Elvin Hajizada, Michael Neumeier, Edward Paxon Frady +4
Recognizing and continuously learning novel human actions without forgetting prior classes is a requirement for emerging AR/VR and robotics applications. For these applications, bo…
The More the Merrier: Running Multiple Neuromorphic Components On-Chip for Robotic Control
Evan Eames, Priyadarshini Kannan, Ronan Sangouard +9
It has long been realized that neuromorphic hardware offers benefits for the domain of robotics such as low energy, low latency, as well as unique methods of learning. In aiming fo…
TONUS: Neuromorphic human pose estimation for artistic sound co-creation
Jules Lecomte, Konrad Zinner, Michael Neumeier +1
Human machine interaction is a huge source of inspiration in today's media art and digital design, as machines and humans merge together more and more. Its place in art reflects it…
Emulating Brain-like Rapid Learning in Neuromorphic Edge Computing
Kenneth Stewart, Michael Neumeier, Sumit Bam Shrestha +2
Achieving personalized intelligence at the edge with real-time learning capabilities holds enormous promise in enhancing our daily experiences and helping decision making, planning…