Microchip’s Countermeasures in Artificial Intelligence/Machine Learning

【Lansheng Technology News】Microchip'sfocus areas in the embedded AI market include industrial automation and maintenance, smart home, Internet of Things and medical. In the AI market, predictive maintenance is a rapidly growing focus area. By reducing downtime, it can help businesses save costs on equipment maintenance. One of the major challenges engineers face is creating a filtered dataset from large amounts of data. This is critical for model development and training and the accuracy of inference.

Microchiphas developed solutions to help designers and engineers overcome the challenges associated with embedded AI, including microcontrollers (MCUs), microprocessors (MPUs) and FPGAs that can handle complex algorithms. Integrating machine learning into MCUs and MPUs is easier and faster with the MPLAB® Machine Learning (ML) Development Kit. Integrating machine learning at the edge can make products more efficient, more secure, and more energy-efficient than systems that rely on cloud communications for data processing.