Xylo™
The world’s leading programmable, ultra-low power neuromorphic chip for low-dimensional signal processing.
is a programmable, ultra-low power neuromorphic chip for low-dimensional signal processing. combines the analog front end(AFE) that can efficiently provide pre-processing functionality to input analog signals. is highly re-configurable and scalable, which supports feed-forward, recurrent and reservoir and other complex neural network structure. can be easily combined with various common sensors such as: MEMS microphone , thermal sensor, pressure sensor, vibration sensor, IMU, Gyro, PPG sensor etc.

Applications
Audio Detection
- Audio detection
- Scene detection
- Keyword recognition
Wearable Devices
- Behavioral state detection
- Gait detection and analysis
- Breath detection
- ECG and EMG signal analysis
Smart Husbandry
- Smart ear tag
- Biometric behavior recognition
Smart Security
- Border and coastal defense movement detection
- Glass break detection
Industrial testing
- Industrial fault monitoring
Cutting-edge algorithm
Based on novel Spiking Recurrent Neural networks, reduce hardware resources by 10 times.
Ultra-low power
Utilizing the dynamic sparse signal and event-driven processing, 10x lower power consumption.
Cost effective
Novel chip architecture, 10x lower cost
Real-time processing
No more caching, real time signal conversion and processing
General processor
Adaptive to various of sensors, excellent for temporal information processing.

Xylo-Audio Development Kit
It provides the capabilities for real-time audio detection. A high performance MEMS mic, power consumption measuring unit, external audio input port and a USB-C port are also provided by development kit.
Requirements
