Xylo™

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

Xylo™, a programmable neuromorphic chip, excels in 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. Seamlessly integrate Xylo™ with MEMS microphones, thermal sensors, pressure sensors, vibration sensors, IMUs, gyros, PPG sensors, and more.

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™IMU Development Kit

Xylo™IMU is the latest addition to the Xylo™ family, joining the Xylo™Audio chip. A fully digital AI chip consisting of a dedicated IMU sensor data acquisition and conversion block (supporting the MC3632 IMU sensor) and a low-power inference core (Xylo™ Core), Xylo™ relies on spiking neural networks(SNNs) for real-time ultra-low-power sensory inference.

The Xylo™IMU Dev Kit is powered by the SynSense Xylo™IMU chip, which brings the flexibility of highly configurable SNN processing to microwatt energy budgets. With appropriate network design and training, Xylo™IMU supports a range of IMU-based battery-powered applications, for example: human behavior detection, fall detection, livestock monitoring, etc.

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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