Microchip Technology Machine Learning

Microchip Technology Machine Learning (ML) involves selecting software and hardware tool kits, reference designs, and silicon platforms where a simplified, easy-to-use environment with advanced performance is required. Microchip Technology ML algorithms are easy to collect and organize data, train neural networks in data centers, or implement optimized inference on the edge. The extensive Microchip portfolio of silicon devices includes microcontrollers (MCUs), microprocessors (MPUs), and Field-Programmable Gate Arrays (FPGAs). The software toolkits allow the use of popular ML frameworks, including TensorFlow, Keras, Caffe, and many others covered by the ONNX umbrella, as well as those found within TinyML and TensorFlow Lite.

The EV18H79A SAMD21 ML Evaluation Kit with TDK 6-axis MEMS features the SAMD21G18 Arm® Cortex®-M0+ based 32-bit microcontroller (MCU) with on-board debugger (nEDBG), an ATECC608A CryptoAuthentication™ secure element IC and the fully certified ATWINC1510 Wi-Fi® network controller.

The EV45Y33A SAMD21 ML Evaluation Kit with BOSCH IMU features the SAMD21G18 Arm Cortex-M0+ based 32-bit microcontroller (MCU) with on-board debugger (nEDBG), an ATECC608A CryptoAuthentication secure element IC and the fully certified ATWINC1510 Wi-Fi network controller.

The combination of hardware and software enables users to design various applications, including high-performance AI acceleration cards for data centers, self-driving cars, security and surveillance, electronic fences, augmented and virtual reality headsets, drones, robots, satellite imagery, and communication centers.

Features

Local learning
- Decrease false positives or negatives
Create new possibilities
- Finding a hard-to-see pattern

Faster development time
- Days vs. months
Scalable accuracy of the prediction

Build a Custom Model (MCU/MPU Development with MPLAB® ML Development suite):

Embark on a machine learning journey with Microchip's MPLAB ML Development suite, which is seamlessly integrated as a plugin into MPLAB X IDE. This all-encompassing solution streamlines the entire process - from data collection to model testing/culminating in a tailored knowledge pack for Microchip MCUs/MPUs.