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RealPars, the leader in cutting-edge industrial education, and Edge Impulse, the leading cutting-edge machine learning platform, today announced that they are teaming up to deliver new and groundbreaking content to further evolve and advanced manufacturing techniques and tools.
The initial collaboration focused on predictive maintenance programming, leveraging RealPars’ innovative training platform to show how Edge Impulse’s machine learning tools can optimize maintenance cycles on public equipment Karma. Predictive maintenance is rapidly becoming a much sought after maintenance method in industrial environments.
Through the use of ML algorithms, embedded sensors, and embedded computing, this technique can be used to detect abnormalities in machinery before failure occurs, allowing immediate repair or replacement. in time to maximize availability and minimize costly downtime.
The partnership between Edge Impulse and RealPars will help raise awareness and drive the practice. Edge Impulse, the leading development platform for ML on edge devices, enables developers to quickly and easily build and optimize solutions with real-world data.
The Edge Impulse development platform, which is already used by thousands of companies, is expected to bring tremendous value in manufacturing and many other industries, with millions of developers making billions of devices smart. smarter.
The company’s platform streamlines the entire process of data set collection and structure, designs ML algorithms with ready-made building blocks, validates models with timely data, and deploys ready-made results. production is fully optimized for an edge target.
Edge Impulse is the leading machine learning platform that empowers all businesses to create smarter products. Their technology enables developers to bring more ML products to market faster and helps enterprise teams quickly develop industry-specific solutions in weeks instead of years.
The Edge Impulse platform provides powerful automation and low code to help you easily build valuable datasets and develop advanced ML with streaming data. With over 40,000 developers and partnerships with leading silicon vendors, Edge Impulse provides a seamlessly integrated experience for confident validation and deployment on the largest hardware ecosystem.