Artificial Intelligence and Machine Learning

Get ready to add Artificial Intelligence (AI) and Machine Learning (ML) to your next design. Whether you’re new to AI and ML and require a simplified, easy-to-use environment, or you’re an experienced developer looking for advanced performance, you’ll find right tool for the job in our selection of software and hardware tool kits, reference designs and silicon platforms. We have also partnered with industry-leading design houses to offer complete AI-based solutions that integrate seamlessly with our products and platforms. These total solutions can be created with little to no AI development experience. We make it easy to implement AI and ML algorithms for collecting and organizing data, training neural networks in data centers or implementing optimized inference on the edge.

Our extensive portfolio of silicon devices includes microcontrollers (MCUs), microprocessors (MPUs) and Field-Programmable Gate Arrays (FPGAs). Our 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. This combination of hardware and software enables you to design a variety of 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.

Find out how our proven reference designs and network of experienced partners can help you reduce risk, time to market, power consumption and application costs.

• Introducing Microchip’s VectorBlox™ Accelerator Software Development Kit and Neural Network IP for PolarFire^® FPGAs
• Machine Learning Made Easy for Embedded Engineers: Features a demo of complex gesture recognition and the Microchip development environment
• Machine Learning and Artificial Intelligence Livestream: Features a demo of anomaly detection using the SAM D21 Machine Learning Evaluation Kit with the Cartesiam solution
• Motion Gestures Tutorial for ATSAMC21 XPRO with QT8: Features gesture recognition with touch sensors using a SAM C21 MCU and the Motion Gestures solution
• IoT Design Week - Day 2: Machine Learning and Artificial Intelligence: Features ML-based gesture recognition using touch and motion sensors with the Motion Gestures solution
• IoT Design Week - Day 2: Machine Learning and Artificial Intelligence with Guests from Adafruit: Features ML on a SAM D21 MCU with an Adafruit solution using TensorFlow Lite

• Press Release: Microchip Partners with Machine-Learning (ML) Software Leaders
• White Paper: Multi-Host Sharing of NVMe™ Drives and GPUs Using PCIe^® Fabrics

We’ve partnered with the industry’s leading design houses to bring state-of-the art artificial intelligence (AI)-based solutions and software tools that support our portfolio of silicon products. We work closely with these partners to ensure seamless interface and tight integration with our platforms to provide you with a superior development experience.