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 […]
280 MHz Cortex-M33 MCU adds high-performance control options
GigaDevice has expanded its GD32 family of 32-bit microcontrollers with the introduction of the GD32F503 and GD32F505 series, built on the Arm Cortex-M33 core. Designed for applications requiring high computational performance and reliability, the new series operates at up to 280 MHz and supports advanced security, configurable memory, and extensive peripheral integration. The MCUs feature […]
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 […]
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 […]
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 […]
Dual-core microcontrollers target high-performance embedded systems
Two new high-performance microcontroller groups have been introduced to support compute-intensive embedded applications in industrial and IoT systems. The devices, built on a 22-nm low-power process, combine a 1 GHz Cortex-M85 processor with an optional 250 MHz Cortex-M33 core to provide a mix of processing power and energy efficiency for complex workloads. The new microcontrollers […]
High-performance chip focuses on large-scale inference efficiency
VSORA has announced a new AI inference processor targeting large-scale data center workloads and high-efficiency machine learning deployment. The chip, called Jotunn8, is designed for inference rather than training, addressing performance and energy challenges in running large AI models at scale. The processor delivers a peak compute capacity of 3,200 teraflops, operating at more than […]
AI-based resource handling added to new IDE
Infineon Technologies has introduced the AURIX Configuration Studio (ACS), a new integrated development environment designed to support engineers developing applications with AURIX TC3x microcontrollers. The platform builds on Infineon’s established DAVE (Digital Application Virtual Engineer) technology, combining an Eclipse-based editor, GNU C compiler, and open-source debugger into a single environment. ACS is intended to simplify the […]
