Deep Learning in a Box is easics’ embedded AI (artificial intelligence) framework. It is deployed on-premise for real-time, low-latency inference, close to the sensors (as opposed to in the cloud). It operates in a small footprint, occupying only a small physical volume and consuming little power, compared to cloud-based solutions. It relies on deep convolutional neural networks and easics’ automated code generation. It runs on several FPGA targets, complemented with state-of-the-art memories and connectivity. It can be deployed as a stand-alone box, as an FPGA SoM (system-on-module), or as an IP core in an FPGA. ASIC targets are being explored.
- Zaal 3