EmuCore

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 such as:

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