Popular Development Boards for AI and Machine Learning
As AI and machine learning (ML) applications continue to grow, development boards have evolved to provide powerful platforms that simplify the integration of AI into various projects.
Development Board
Xiao ESP32-C3 IoT Development Board
Seeed Studio XIAO ESP32C3 is an IoT mini development board based on the Espressif ESP32-C3 WiFi/Bluetooth dual-mode chip in a very tiny form factor.
ESP32-CAM Camera Module
The ESP32-CAM is a small-size, low-power camera module based on ESP32. It comes with an OV2640 camera and provides an onboard TF card slot.
ESP32-PICO-D4 Wireless SIP
ESP32-PICO-D4 is an ESP32-based System-in-Package (SIP) from Espressif. The new ESP32-PICO-D4 SIP combines an ESP32 SoC, crystal oscillator, filter capacitors, RF matching links, and 4MB flash, into a single 7mm × 7mm QFN package.
Raspberry Pi Pico W
Raspberry Pi Pico W is Raspberry Pi's first wireless microcontroller board, designed especially for physical computing. It is the successor of the popular Raspberry Pi Pico board.
Altera DE2-115 Development Board
The DE2 series has consistently been at the forefront of educational development boards by distinguishing itself with an abundance of interfaces to accommodate various application needs.
NVIDIA Jetson Nano Developer Kit
The Jetson Nano Developer Kit is ideal for deep learning and AI applications, and it comes with a 40-pin GPIO header, that can be used for microcontroller level tasks similar to that of a
Raspberry Pi Pico
Raspberry Pi Pico is the first microcontroller from the manufacturers of Raspberry Pi, based on the Raspberry Pi’s RP2040 microcontroller chip.
MCX W: Bluetooth LE, Zigbee, and Matter over Thread multiprotocol MCUs
The ECX-1637B is a low-aging crystal. This component is ideal for wireless and IoT applications.
AlphaWire introduces the EcoCable Mini Cable: the smallest solution to your biggest cable problems
The ACS71240 is designed to replace shunt resistors in applications that require small size.
InnoSwitch™3-EP family of offline CV/CC QR flyback switcher ICs feature 900 V PowiGaN™ GaN switches.
FSP open frame power supply units with many form factor and power ratings
Highest magnetic sensitivity, lowest power consumption, smaller size compared to Hall, AMR, and GMR
Magnetic current sensors are a compelling alternative to traditional shunt-based solutions
