Lattice Semiconductor’s improved sensAI stack accelerates deployment of always-on, on-device AI into a range of edge applications including mobile, smart home, smart city, smart factory, and smart car products.
Always-on, on-device, low-power, flexible artificial intelligence (AI) is increasingly a requirement in edge devices that are battery operated or have thermal constraints. The sensAI solutions from Lattice Semiconductor address this challenge with several improvements to support a variety of low-power, flexible system architectures for always-on, on-device AI. These improvements include improved accuracy, scalable performance, and ease-of-use, while still consuming only a few milliwatts of power.
Improved sensAI stack enables always-on, on-device AI revolution
Lattice Semiconductor unveiled expanded features of the company’s popular 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 (AI) applications, according to the announcement.
Updates to the sensAI stack include
• IP Cores – New CNN Compact Accelerator IP core for improved accuracy on iCE40 UltraPlus FPGA, and enhanced CNN Accelerator IP core for improved performance on ECP5 FPGAs
• Software Tools – Updated neural network compiler tool with improved ease-of-use and both Caffe and TensorFlow support for iCE40 UltraPlus FPGAs
• Reference Designs – New human presence detection and hand gesture recognition reference designs and demos
• Modular Hardware Platforms – New iCE40 UltraPlus development platforms including Himax HM01B0 UPduino Shield, and DPControl iCEVision Board
• Design Service Partners – New vehicle classification and package detection demos from sensAI Design Services Partners
“Lattice’s low power, small size FPGAs and neural network IP cores and tools, will significantly accelerate adoption of artificial intelligence at the edge,” said Amit Vashi, Chief Operating Officer, Softnautics. “With our expertise in machine learning, we are proud to be working closely with Lattice to enable sensAI solution deployments as evident by our jointly developed vehicle classification demo using ECP5 FPGAs”.