RealPars, the leader in cutting-edge industrial education, and Edge Impulse, the best-in-class edge machine learning platform, announce that they are teaming up to provide new and groundbreaking content to further development of advanced manufacturing tools and techniques.
The initial partnership focuses on predictive maintenance programming, leveraging RealPars’ innovative training platform to show how Edge Impulse’s machine learning tools can optimize maintenance cycles on industrial equipment. Predictive maintenance is quickly becoming a highly sought-after method of upkeep in industrial settings. Through the use of ML algorithms, embedded sensors, and onboard computing, the technique can be used to detect anomalies in machinery before breakdowns occur, allowing for just-in-time repair or replacement in order to maximize uptime and minimize costly shut downs. The partnership between Edge Impulse and RealPars will help build awareness and advancement of the practice.
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Edge Impulse, the leading development platform for ML on edge devices, allows developers to quickly and easily create and optimize solutions with real-world data. The company’s platform streamlines the entire process of collecting and structuring datasets, designing ML algorithms with ready-made building blocks, validating the models with real-time data, and deploying the fully optimized production-ready result to an edge target. The Edge Impulse development platform, already in use by thousands of companies, stands to unlock massive value across manufacturing and many other industries, with millions of developers making billions of devices smarter.
Edge Impulse is the leading machine learning platform, enabling all enterprises to build smarter edge products. Their technology empowers developers to bring more ML products to market faster, and helps enterprise teams rapidly develop industry-specific solutions in weeks instead of years. The Edge Impulse platform provides powerful automation and low-code capabilities to make it easier to build valuable datasets and develop advanced ML with streaming data. With over 40,000 developers, and partnerships with the top silicon vendors, Edge Impulse offers a seamless integration experience to validate and deploy with confidence across the largest hardware ecosystem.
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