Microchip Technology is leveraging the power of Artificial Intelligence (AI) to assist software developers and embedded engineers in writing and debugging code with the launch of its MPLAB® AI Coding Assistant. A Microsoft® Visual Studio® Code (VS Code®) extension, the free tool is based on Continue—the market’s leading open-source AI code assistant—and comes preconfigured with Microchip’s AI chatbot for real-time support.
Our SAMD21 Machine Learning Evaluation Toolkits, combined with the AVR128DA48 Curiosity Nano Evaluation Board, are specifically designed for developing and deploying machine learning models on time series sensor data signals, including inertial measurement unit (IMU) applications. This capability can be extended to other time series signals such as voltage, current, and temperature. By providing a platform for both 8-bit and 32-bit MCUs, users gain the flexibility to build machine learning models for a wide range of use cases, making the realization of ML models straightforward and efficient.
Whitepaper
Multi-Host Sharing of NVMe Drives and GPUs Using PCIe Fabrics
This white paper discusses how PCIe fabrics can be used to create a flexible, low-latency, high-performance fabric interconnect to a shared pool of GPUs and NVMe SSDs while still supporting standard host operating system drivers.

Microprocessors
High-Performance 64-bit MPUs for the Intelligent Edge
Our PIC64 portfolio of 64-bit microprocessors (MPUs) offers scalable compute performance for industrial, aerospace, defense, automotive, consumer and other applications.

32-Bit Microcontroller
Industry’s Broadest & Most Innovative 32-bit Microcontroller Portfolio
Our 32-bit microcontrollers (MCUs) provide the performance and functional capabilities to meet the requirements of countless applications ranging from general-purpose embedded control to secured Internet of Things (IoT) solutions and beyond.

dsPIC (16-bit and 32-bit)
Exceptional Versatility and Efficiency
Our dsPIC33 DSCs integrate the performance of a Digital Signal Processor (DSP) for embedded applications that require time-critical response and the simplicity of an MCU.

8-Bit Microcontroller
Exceptional Versatility and Efficiency
Pick from our broad portfolio of uniquely configurable MCUs and start designing quickly using our award-winning Integrated Development Environments (IDEs) with production-ready code generation tools and best-in-class rapid prototyping hardware.

MACHINE LEARNING EVALUATION KITS
Both SAMD21 Machine Learning Evaluation Kits feature 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.
Microchip MCP9808 high accuracy temperature sensor , the light sensor, as well as the add-on board with TDK InvenSense ICM-42688-P, High precision 6-axis MEMS, will enable designers to collect data to train and create Machine Learning models.
EV18H19A
TDK Invensense
6-Axis MEMS
- 1x SAM IoT WG Development Board (EV75S95A)
- 1x MikroE 6DOF IMU 14 Click Board (TDK ICM-42688)
EV45Y33A
Bosch IMU Kit
- 1x SAM IoT WG Development Board (EV75S95A)
- 1x MikroE 6DOF IMU 2 Click Board (Bosch BMI160)