Lattice Semiconductor Releases Latest Sens AI™ Suite to Advance Low-Power Edge AI
Expanded model support, enhanced performance, and improved tools enable faster AI deployment across industrial, automotive, and consumer applications
Lattice Semiconductor (NASDAQ: LSCC), a leader in low-power programmable products, announced the release of the latest version of its sensAI™ solution suite, offering expanded support models, enhanced AI performance, and greater flexibility in deploying to a broader range of edge applications. With new purpose-built models, updated tools, and improved compatibility, sensAI by Lattice enables developers to achieve higher performance, lower power consumption, and faster integration of AI capabilities into industrial, automotive, and consumer systems.
“Edge computing and artificial intelligence are transforming how systems operate, and this is increasing the demand for solutions that offer low power consumption and high performance,” said Raemin Wang, vice president of industry marketing at Lattice Semiconductor. “With the latest version of our sensAI suite of solutions, we are providing system designers with a robust set of new capabilities that will help them create smarter, faster, and more efficient solutions for applications ranging from industrial automation and infotainment to vehicle safety, prosumer devices, and much more.”
"Our collaboration with Lattice Semiconductor enables Mitsubishi Electric and Lattice to jointly develop cutting-edge AI for industrial equipment, combining FPGA-based edge AI acceleration with industry expertise to create scalable and secure solutions for next-generation automation," said Naoki Nakamura, general manager of the Numerical Control Systems Department at Mitsubishi Electric.
Lattice's latest suite of sensAI solutions (version 8.0) enables intelligent detection in the far periphery with customizable, low-power AI solutions. It offers the following:
Extended support for specifically designed models
Expansion of pre-trained human-machine interface (HMI) models and new models for multi-object and defect detection.
Accelerator engine updated with improved build tools
Advanced support with topologies to achieve greater compatibility with AI models
Improvements in ease of use
Complete set of tools and improved interface with Python API integration.
Flexible implementation and automation
Simplified RISC-V® base code for your customization.
YAML-based automation for rapid prototyping.
