Lattice Semiconductor introduced a roadmap of low-power, AI/ML-enabled solutions to improve battery life and performance in Edge devices. Based on the sensAI solution stack and running on low-power Nexus FPGAs, the solutions empower smart, always-on IoT devices with advanced field-upgradeable hardware-accelerated AI capabilities that can support future AI algorithms.
“AI applications based on vision, sound, and other sensors will revolutionize the Client Computing experience,” said Matt Dobrodziej, Vice President of Segment Marketing and Business Development at Lattice. “Our sensAI solution stack supports a roadmap of Edge AI applications that make Client devices contextually aware of how, when, and where they’re being used, and our Nexus FPGAs deliver that functionality with class-leading low power consumption.”
Offering advantages include up to 28% longer battery life compared to legacy solutions, and the ability to support in-field software updates and the flexibility to choose from different sensor and SoC technologies. “Our Glance by Mirametrix attention-sensing software captures a user’s face, eyes, and gaze to understand user awareness and attention. This unique technology is used to create smart devices capable of more natural and immersive user experiences and device interaction,” said Stephen Morganstein, Vice President at Mirametrix. “Lattice’s sensAI solution stack and low power FPGAs help developers implement novel AI capabilities that can improve a device’s battery life.”
The latest version of the sensAI solution stack (v4.1) is available now and supports Lattice’s roadmap of AI-based applications. For more information visit https://www.latticesemi.com/en/Products/DesignSoftwareAndIP/AIML/LatticesensAIStudio.
