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Gyrfalcon White Paper Examines New AI Chipsets for Edge-Vision Computing

www.gyrfalcontech.ai, Sept. 23, 2020 – 

MILPITAS, Calif., Sept. 23, 2020 /PRNewswire/ – Gyrfalcon Technology today announced a new white paper entitled "AI-Powered Camera Sensors: Computing at the Edge – Smart Cameras, Robotic Vehicles and End-Point Devices." Artificial Intelligence (AI) processing on the edge device – particularly AI vision-specific industries – eliminates privacy concerns, while avoiding the speed, bandwidth, latency, power consumption and cost issues of cloud computing.

The white paper is available for free here.

"The emerging smart CMOS image sensors technology trend is to merge ISP functionality and deep learning network processor into a unified end-to-end AI co-processor," said Dr. Manouchehr Rafie, Vice President of Advanced Technologies at Gyrfalcon. "This white paper defines a new paradigm for on-device integrated AI-camera sensor co-processor chips. The chips' built-in high-processing power and memory allow the machine- and human-vision applications to operate much faster, more energy-efficiently, cost-effectively and securely without sending any data to remote servers."

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