VoltJots Issue 26

Issue 26

Welcome to the latest edition of the VoltJots newsletter, linking you to the very best electronics and IoT news, products, and projects.

Hope you enjoy! Until next week,

VoltJots

IN THE NEWS

Adafruit announces the release of their new RP2350B Metro board, which is an upgraded version of their previous RP2350 Metro design.

Longsys has developed an ultra-compact eMMC memory module for AI wearables, measuring just 7.2mm × 7.2mm, with capacities of 64GB and 128GB!

The EU are investing €3 million in a groundbreaking quantum chip using Germanium-Silicon technology, which aims to overcome major quantum computing challenges, unlocking new possibilities for both science and industry.

The MicroPython Package Installer for Arduino simplifies library management and automates workflows for Arduino-based projects.

Arduino's first Made-in-India boards, offer an awesome opportunity for Indian makers, educators, and innovators to tap into local support, competitive pricing, and faster delivery.

PROJECTS & TUTORIALS

Turn your ESP32 into a smart camera for AI tasks with easy data capture, model training, and deployment!

Do you remember the Stylophone? Now you can build your own with the Ziggy Stylus, an electronic synthesizer that lets you create your own sounds using a 555 timer IC, a few potentiometers, and a stylus-controlled keyboard.

Discover how to store and visualize GPS data on a map with routes and timestamps! A free, ready-to-use solution that simplifies GPS data handling for IoT projects.

Build a real-time voice chat assistant using the SenseCAP Watcher and OpenAI API to create an engaging and practical conversational interface.

PRODUCTS

TE's wireless vibration sensors can enhance predictive maintenance, boost efficiency, and reduce downtime in industrial applications.

If you're thinking about contactless near-field communication design, the NFC development kit includes a range of tools and components that could help you create and test NFC-enabled applications quickly.

The CanMV K230 AI development board is a 64-bit dual-core RISC-V processor-based board equipped with a neural network processing unit (NPU) capable of 6 TOPS, designed for AI workloads such as deep learning and edge computing applications.

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