Lattice announced version 4.1 of sensAI and accelerated the development of next-generation client devices.

Lattice Semiconductor, a leader in low-power programmable solutions, announced on the 18th a roadmap for low-power AI/ML-enabled solutions that improve battery life and enable innovative user experiences in edge applications such as client computing devices.

By leveraging this new solution, built with the award-winning Lattice sensAI™ solution stack and running on low-power Lattice Nexus™ FPGAs, OEMs can develop smart, always-on devices with field-upgradable, low-power, hardware-accelerated AI capabilities to support future-proof artificial intelligence (AI) algorithms.

Recently, regarding client computing devices, there is a growing demand for faster-responding and context-aware user experiences, high-quality video conferencing, and collaboration applications.

The Lattice Nexus FPGA and sensAI solution stack provide a competitive platform for developing computer vision and sensor fusion applications that improve user engagement, privacy, and collaboration.

For example, if a client device uses camera image data to detect that someone is standing too close behind the user, it blurs the screen for privacy protection or detects that the user's gaze is directed elsewhere 'In the case of 'viewing', you can extend battery life by dimming the device screen.

Matt Dobrodziej, Vice President of Sector Marketing and Business Development at Lattice, said, “AI applications based on vision, acoustics, and other sensors will revolutionize the client computing experience. The Lattice sensAI solution stack supports the roadmap for edge AI applications, enabling client devices to contextually recognize when, where, and how they are being used, and Lattice Nexus FPGAs provide this capability with best-in-class low-power characteristics.”