Smart Bluetooth beacons with System-on-a-Chip technology collect and analyze operational data in real time to provide machine-learning-informed insights.
Apply an Edge AI Drop-In Solution to Enhance Wireless Condition-Based Monitoring
Publish Date: 2025-09-30
A drop-in solution with edge AI enables immediate deployment of wireless condition-based monitoring with real-time notification of vibration anomalies.
Uncovering Vibration Monitoring VOYAGER4 Essentials for Practicing Engineers
Publish Date: 2025-09-18
Wireless vibration monitoring evaluation kit supports condition-based monitoring of motors in robotics, pumps, fans, wind turbines, and other systems.
Midrange Vision AI Microprocessors for Edge Applications
Publish Date: 2025-07-17
Efficient, low-power vision AI microprocessors enable real-time inference at the edge for robotics, surveillance, and smart home devices.
An Easier Way to Build Powerful Edge AI Applications
A multicore processor, development board, and software combine to speed the design of edge AI applications.
Standardizing Smart Home Interconnectivity with 'Matter'
Platform providers, device manufacturers, and semiconductor companies like Silicon Labs converge around the Matter protocol for smart device interconnectivity.
Use Edge AI to Extend Battery Life in Wireless Motor Monitoring
Publish Date: 2025-03-27
Learn how to use edge AI to extend battery life in wireless motor-monitoring applications.
How and Why Microcontrollers Can Help Democratize Access to Edge AI
Publish Date: 2025-02-18
Edge AI and microcontrollers enable efficient, scalable AI processing, reducing costs and power consumption while optimizing real-time applications.
Introducing the Raspberry Pi 500: A Leap in All-in-One Computing
Discover the Raspberry Pi 500, a powerful all-in-one computer in a keyboard. Explore specs, GPIO upgrades, and its perfect pair—the Pi Monitor.
How to Provide Effective Power Management for AI Datacenters
Publish Date: 2025-01-22
Learn how Panasonic's hybrid capacitors, precision resistors, and wireless modules address key power management challenges in AI datacenters.
Use a Portfolio of Low-Power Microcontrollers to Simplify Healthcare and Industrial IoT Design
Publish Date: 2024-10-10
Use ultra-low-power MCUs with specialized capabilities to meet application requirements without compromising processor performance or power budgets.
Developing Edge AI Applications with ADI's MAX78002 MCU
Learn how the ADI 78002 MCU can support the design of edge AI applications with low power consumption, high performance, and robust security features.
Digit: A Wearable Companion Bot with AI Voice Interaction
Digit's AI-powered brain enables local real-time voice conversations using Hopper Chat and Llama 3. Learn how to set it up with NVIDIA Jetson Orin Nano.
The Hacksmith: The Ultimate Security Drone System at H.E.R.C.
Discover how Hacksmith Industries built the ultimate autonomous security drone system at H.E.R.C., featuring drones, robot dogs, and AI-driven turrets.
AI Development Potential with the Agilex™ 5 System on Module
Publish Date: 2024-09-04
iWave introduces the iW-RainboW-G58M System on Module (SoM), powered by the Intel Agilex™ 5 FPGA, the first FPGA to feature integrated AI capabilities.
Building a Voice-Controlled Robot - Linear Models and Machine Learning
Learn about the application of linear control models and PCA classification in creating a voice-controlled robot.
The BeagleY-AI is Now in Stock!!
The BeagleY-AI is here! Featuring a Texas Instruments AM67A processor and 4 TOPS of Edge AI acceleration, it's perfect for advanced AI applications.
A Guide for the ESP32 Microcontroller Series
Explore the vast ESP32 ecosystem with this overview, featuring detailed explanations of its architecture, communication interfaces, and development tools.
What is Data-Preparation in ML, And Why is it Crucial for Success?
Learn how to prepare data for machine learning projects. Explore techniques for scaling features, handling missing values, and ensuring fair & accurate results.
Quickly Deploy Powerful and Efficient AI and Machine Learning Using Renesas RA8M1 MCUs
Publish Date: 2024-03-20
Use the Renesas RA8M1 microcontroller’s Arm Helium MVE SIMD extensions to deliver powerful AI and ML quickly and efficiently.

