MIKROE has released an updated version of its NECTO multi-architectural IDE that adds integrated AI assistance inside the code editor. The new capability is intended to support embedded developers during implementation and review by enabling context-aware help while working directly with target boards and microcontrollers. Within the editor, the NECTO AI Code Assistant can repair […]
Artificial intelligence/ML
Compact module targets edge systems requiring on-device AI processing
congatec has introduced its first COM-HPC Mini computer-on-module based on Qualcomm Dragonwing IQ-X Series processors. The conga-HPC/mIQ-X uses the Qualcomm Oryon CPU and an integrated Hexagon NPU to support local AI workloads, including machine learning inference and large language model execution. The module delivers up to 45 TOPS of AI performance and is intended for […]
AI chatbot supports PLC selection and configuration tasks
TRi PLC has released an AI-based chatbot designed to provide faster access to product information and technical support resources. The system uses natural language processing and a structured product knowledge base to interpret user questions and return detailed, context-relevant information. The chatbot assists engineers and system designers in identifying appropriate PLC models by comparing application […]
AI interface provides structured access to engineering data
Microchip Technology has introduced the Model Context Protocol (MCP) Server, a platform designed to provide AI systems with direct, verified access to Microchip product information. The server enables developers and enterprise AI tools to retrieve up-to-date technical data such as specifications, datasheets, pricing, and lead times through natural-language queries. The MCP Server operates on streamable […]
Linux-based SBC adds hardware security and AI expansion
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 […]
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 […]
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 […]
