Neuromorphic Computing: Training Spiking Neural Networks to Recognize Gestures.

In this video, we explore the exciting world of Spiking Neural Networks (SNNs) and their application in gesture recognition. You'll learn about different techniques for training SNNs, including a two-stage training process that combines backpropagation with spikes and rapid on-chip learning.
This approach leverages neuromorphic hardware, such as Intel’s Loihi, to create a low-latency, low-power gesture recognition system that adapts in real-time.
Discover how event-driven cameras and spiking convolutional neural networks work together to enable personalized, real-time gesture interfaces with potential applications in consumer electronics, fitness, and more.
🔗 Watch our music demonstrator in action:
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🔗 Learn more about neuromorphic technology at fortiss:
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