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The Worldwide Graph Database Industry is Expected to Reach $5 1 Billion by 2026

The Worldwide Graph Database Industry is Expected to Reach $5 1 Billion by 2026
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aiSensing Announces AI-based Predictive Maintenance Solution Based on QuickLogic EOS S3 Platform and SensiML Analytics Toolkit

Share this article Share this article SAN JOSE, Calif., May 20, 2021 /PRNewswire/  QuickLogic Corporation (NASDAQ: QUIK), a developer of ultra-low power multi-core voice-enabled SoCs, embedded FPGA IP, and Endpoint AI solutions, today announced that its customer, aiSensing, has developed an AI-enabled Industrial IoT solution that can determine multiple fault modes for predictive maintenance applications.  This vibration sensor employs Artificial Intelligence/Machine Learning (AI/ML) techniques to intelligently monitor equipment status and identify and signal when different fault modes occur. The aiSensing solution is based on QuickLogic s QuickAI platform including the ultra-low power EOS™ S3 multi-core sensor processing SoC, QuickFeather development kit, and SensiML Analytics Toolkit for endpoint AI applications.

QuickLogic Reports Fiscal 2021 First Quarter Results

QuickLogic Reports Fiscal 2021 First Quarter Results News provided by Share this article Share this article SAN JOSE, Calif., May 18, 2021 /PRNewswire/ QuickLogic Corporation (NASDAQ: QUIK) ( QuickLogic or the Company ), a developer of ultra-low power multi-core voice enabled SoCs, embedded FPGA IP, and Endpoint AI solutions, today announced its financial results for the first quarter of fiscal 2021, ended April 4, 2021. Recent Highlights Launched SensiML open source initiative to assert leadership for commercial AI adoption of smart sensing IoT applications Announced an Amazon-qualified reference design for hearables or battery-powered applications to communicate directly with Alexa Launched the SparkFun Thing Plus - QuickLogic EOS S3 Development Kit with SparkFun and Crowd Supply - ideal for adding voice or AI/ML processing to edge IoT devices

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