EmuCore
QCi’s first reservoir computing product is a photonic-inspired edge device that is optimized to instantiate recurrent neural networks. This device can be used to solve a variety of problems related to serial data structures including time series prediction, image recognition, and text classification. It is fast, affordable, energy-efficient, and brings the power of a standalone edge computing to your desktop.
Capabilities and applications
Our FPGA-based analog reservoir computer is built for directed AI applications. Get started with EmuCore via our Introduction to reservoir computing learning module.
Classification
Time series prediction
Data processing with feedforward algorithms
Specifications
Dimensions | 170 mm x 90 mm x 55 mm |
Weight | 0.6 kg |
Power requirements | USB-C input power control with 45W power adaptor |
Typical power consumption | 10W |
Operating temperature | 0°C to 70°C |
Data interface | 10/100/1000 wired ethernet |
Transient response rate | 10M nodes/sec |
Number of internal nodes | up to 8,192 internal nodes |