Competitor to Brainchip for ML on edge devices?
SAN JOSE, Calif., May 18, 2021 /PRNewswire/ -- Edge Impulse, the "world's leading development platform for machine learning (ML) on edge devices"
Edge Impulse Raises $15m Series A to Enable a Data-Driven Engineering Revolution with Machine Learning
Edge Impulse enables this data to be processed efficiently using machine learning optimized for the edge, making products smarter and improving privacy. The Edge Impulse platform allows developers and engineers to create valuable datasets, then rapidly develop and deploy custom ML models to any edge device from battery-powered sensors to Linux-run GPUs capable of operating actuating pneumatics to robotic arms. The company's software is trusted by thousands of developers and enterprises looking to leverage sensor data to bring intelligence to the next wave of smart devices, with a growing list of silicon partners including Arm, Nordic Semiconductor, NVIDIA, Silicon Labs, STMicroelectronics, Microchip, Arduino, Raspberry Pi, Himax, and Eta Compute. To date, the platform has been used to produce more than 23,000 projects and 26 million labeled data samples across a wide range of verticals including industrial, infrastructure, wearables, and wildlife conservation, with a global community on trajectory to reach 100,000 developers by 2022.
How does Brainchip's Edge processing compare to a company like Edge Impulse Edge processing I wonder?
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