Grinn has introduced the GenioBoard, a single-board computer (SBC) designed to accelerate the development of embedded and AI-capable systems. Built around the MediaTek Genio family of processors, the board integrates compute performance, connectivity, and security within an 87 mm × 56 mm form factor. It supports both the Grinn GenioSOM-700 and GenioSOM-510 systems-on-module, each offering […]
Applications
A practical guide to microcontroller structure and performance factors
Microcontroller units (MCUs) are single-chip computers optimized for performing embedded computing tasks like controlling a coffee machine or a medical device, an industrial robot, or an electric vehicle battery charger. They don’t require a complex operating system (OS) like those found on personal computers and servers. The central processing unit (CPU) is a key element […]
AI accelerator supports on-chip learning for embedded devices
BrainChip Holdings has announced the AKD1500 co-processor capable of delivering up to 800 giga operations per second (GOPS) while operating below 300 milliwatts, providing a power-efficient solution for edge AI tasks. This makes it suitable for use in battery-powered or thermally constrained systems such as wearable electronics, smart sensors, and compact embedded devices. The co-processor […]
Board offers 13.4 dBm output and LoRaWAN 1.0.4 compliance
MIKROE has released the LR 16 Click board, designed to provide long-range, low-power wireless connectivity for Internet of Things (IoT) and industrial Internet of Things (IIoT) systems. The board is based on Würth Elektronik’s WIRL-LORA Daphnis-I module, which incorporates the STM32WLE5CCU6 microcontroller. The LR 16 Click supports LoRaWAN and proprietary communication modes, offering flexibility for […]
Real-time software environment supports multiple industrial protocols
TeleCANesis has introduced an embedded software environment designed for development teams working on industrial, medical, and mobility systems. The environment enables rapid interconnection of distributed system nodes through standard communication interfaces and protocols. It is built on the QNX Operating System, a real-time platform widely used in embedded control systems such as robotics, medical instrumentation, […]
Open-source dev system expanded to include unified multi-core and AI model deployment
The latest release of the open-source development system introduces a significant step forward for developers working with complex, multi-core environments and artificial intelligence. Analog Devices has launched CodeFusion Studio 2.0, upgrading its open-source embedded development platform with comprehensive AI workflow support and unified multi-core orchestration capabilities. The Visual Studio Code-based environment now enables engineers to […]
Processors gain native execution for quantized AI models
Alif Semiconductor announced that developers can now use the ExecuTorch Runtime, a quantization extension of the popular PyTorch ML framework, for AI applications built to run on its Ensemble E4/E6/E8 series of MCUs and fusion processors. The ExecuTorch extension enables developers of AI models aimed at resource-constrained hardware targets such as MCUs to use the […]
Architecture supports on-device inference without cloud connectivity
Ceva has partnered with embedUR systems to launch a dedicated instance of the ModelNova platform for Ceva’s NeuPro NPU family. The platform provides AI models, datasets, and use-case blueprints optimized for NeuPro-Nano NPUs and NeuPro-M NPUs for edge AI inference applications. ModelNova hosts models from both companies for the development of wearables, hearables, smart home […]
Microcontroller integrates 110 GOPS NPU for edge AI
Nuvoton Technology has released the NuMicro M55M1, a 32-bit microcontroller based on the Arm Cortex-M55 core with integrated neural processing for edge AI applications. The device combines a 220 MHz processor with an Arm Ethos-U55 NPU that delivers 110 GOPS of computing power and a Helium vector processor that provides 15 times the performance of […]
The intelligent Edge: powering next-gen Edge AI applications
Edge artificial intelligence (AI) technology is proving transformational for industrial enterprises as they shift focus toward the human- and planet-centric ideals of Industry 5.0. These solutions merge the power of edge computing with AI advancements to enhance efficiency, agility, and security through automation. They also reduce industrial reliance on centralized servers, helping to control both […]
