Lattice expands sensAI stack with optimized solutions for always-on, on-device AI

Lattice Semiconductor unveiled expanded features of the company’s Lattice sensAI stack designed to speed time-to-market for developers of flexible machine learning inferencing in consumer and industrial IoT applications. Building on the ultra-low power (1 mW-1 W) focus of the sensAI stack, Lattice is releasing new IP cores, reference designs, demos and hardware development kits that provide scalable performance and power for always-on, on-device artificial intelligence applications.

Examples of the architectural choices that sensAI solutions enable include:

  • Stand-alone iCE40 UltraPlus / ECP5 FPGA based always-on, integrated solutions, with latency, security, and form factor benefits.
  • Solutions utilizing iCE40 UltraPlus as an always-on processor that detects key-phrases or objects, and wakes-up a high performance AP SoC / ASIC for further analytics only when required, reducing overall system power consumption.
  • Solutions utilizing the scalable performance/power benefits of ECP5 for neural network acceleration, along with IO flexibility to seamlessly interface to on-board legacy devices including sensors and low-end MCUs for system control.

Updates to the sensAI stack include a CNN Compact Accelerator IP core for improved accuracy on iCE40 UltraPlus FPGA, and enhanced CNN Accelerator IP core for improved performance on ECP5 FPGAs; updated neural network compiler tool with improved ease-of-use and both Caffe and TensorFlow support for iCE40 UltraPlus FPGAs; new human presence detection and hand gesture recognition reference designs and demos; iCE40 UltraPlus development platforms including Himax HM01B0 UPduino Shield, and DPControl iCEVision Board; new vehicle classification and package detection demos from sensAI Design Services Partners.

The Lattice sensAI partner eco-system continues to expand worldwide with new design service and IP partners focused on enabling smart home, smart factory, smart city, and smart car applications.


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