XYLO

The world’s leading programmable, ultra-low power neuromorphic chip for low-dimensional signal processing.

Xylois a programmable, ultra-low power neuromorphic chip for low-dimensional signal processing. Xylo combines the analog front end(AFE) that can efficiently provide pre-processing functionality to input analog signals. Xylois highly re-configurable and scalable, which supports feed-forward, recurrent and reservoir and other complex neural network structure. Xylo 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
The Xylo-Audio board is based on SynSense‘s Xylo family of devices, which brings the flexibility of NN-based audio processing to microwatt energy budgets. 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 Xylo™–Audio development kit.
Xylo™–Audio is not limited to keyword detection, but is capable of detecting almost any audio feature. Application development is made easy with SynSense’s open-source Python library, Rockpool.

 

Requirements
HardwareSoftwareTools
At least 4GB of available physical memoryUbuntu 18.04/20.04SAMNA
Download
1 USB 3.0 interfaceMacOS 10.15ROCKPOOL
Download
Display screen
Equipped with an integrated/discrete graphics card
HardwareSoftwareTools
At least 4GB of available physical memoryUbuntu 18.04/20.04SAMNA
Download
1 USB 3.0 interfaceMacOS 10.15ROCKPOOL
Download
Display screen
Equipped with an integrated/discrete graphics card
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