Articles for tag: BLE, Energy Efficiency, Energy Harvesting, Hardware, IoT, LoRaWAN, low-power, Microcontrollers, NB-IoT, Sensors

May 31, 2025

Mathew

Low-Power IoT Hardware Design Trends for 2026

Low-Power IoT Hardware Design Trends for 2026

Low-Power IoT Hardware Design Trends for 2026 The Internet of Things (IoT) is rapidly expanding, connecting billions of devices across various sectors, from smart homes to industrial automation. As we move towards 2026, the demand for low-power IoT hardware is becoming increasingly critical. This article explores the key trends shaping the design of energy-efficient IoT devices, enabling longer battery life and reduced operational costs. 1. Advanced Microcontroller Units (MCUs) MCUs are the brains of IoT devices, and advancements in their architecture are significantly impacting power consumption. Expect to see: Ultra-Low-Power Cores: MCUs based on ARM Cortex-M and RISC-V architectures are

May 16, 2025

Mathew

TinyML: Bringing Machine Learning to Microcontrollers in IoT (2025 Trend)

TinyML: Bringing Machine Learning to Microcontrollers in IoT (2025 Trend)

TinyML: Machine Learning on Microcontrollers – The IoT Trend of 2025 As the Internet of Things (IoT) continues to expand, the need for efficient and intelligent edge computing solutions is growing rapidly. TinyML, a field focused on deploying machine learning models on resource-constrained devices like microcontrollers, is emerging as a key enabler for this trend. By 2025, TinyML is poised to revolutionize IoT applications across various industries. What is TinyML? TinyML involves compressing and optimizing machine learning models to run on microcontrollers with limited memory and power. Unlike traditional cloud-based machine learning, TinyML enables on-device data processing, reducing latency, enhancing