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.
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. 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
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.