Lattice Semiconductor received a number of industry awards for sensAI – a complete technology stack combining modular hardware kits, neural network IP cores, software tools, reference designs and custom design services – to accelerate integration of machine learning inferencing into broad market IoT applications.
With solutions optimised for ultra-low power consumption (under 1 mW – 1 W), small package size (5,5 mm2 –100 mm2), interface flexibility (MIPI CSI-2, LVDS, GigE, etc.), and high-volume pricing, the Lattice sensAI stack fast-tracks implementation of edge computing close to the source of data.
By delivering a full-featured machine learning inferencing technology stack combining flexible, ultra-low power FPGA hardware and software solutions, the Lattice sensAI stack accelerates integration of on-device sensor data processing and analytics in edge devices.
“The Edge is getting smarter with more computing capabilities being deployed for real-time processing of data from an expanding range of sensors, as seen in the consumer IoT space, and the emergence of artificial intelligence is only accelerating this trend,” Lattice quoted Michael Palma, research director at IDC. “Low power, small size, and low cost silicon solutions that can perform such local sensor data processing, will be critical for implementation of AI in various broad market edge applications.”
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