With Edge Impulse's newest feature, visual data from a satellite can be labeled via GPT-4o both for cloud type and for coverage, generating two useful edge models from the same dataset very quickly.

Conexio Stratus Pro is a tiny IoT development kit based on Nordic Semi nRF9161 system-in-package (SiP) with LTE-M/NB-IoT, DECT NR+, and GNSS connectivity

Using NVIDIA TAO toolkit and OpenAI GPT-4o LLM in Edge Impulse to quickly create TinyML models for microcontrollers by only shooting a video.

Edge Impulse machine learning platform for edge devices has released a new suite of tools developed on NVIDIA TAO Toolkit and Omniverse that brings new AI

Arducam OCam, whose name stands for Object Camera, is an AI camera with 3 TOPS of AI performance and designed to work with OStream's PhysicO Edge AI media

How to implement gesture recognition with Edge Impulse machine learning platform for embedded devices, and XIAO BLE Sense nRF52840 board.

Edge Impulse's FOMO "Faster Object, More Objects" model provides a low footprint, high-performance object detection for embedded systems.

Seeed Studio has just introduced two new members to their XIAO board family with the Seeed XIAO BLE and XIAO BLE Sense boards equipped with Nordic Semi

Conexio Stratus board is equipped with Nordic Semi nRF9160 System in Package (SiP) with LTE-M (eMTC) & NB-IoT cellular IoT connectivity as well as GPS

SAMD21 machine learning evaluation kits run AI tasks on Arm Cortex-M0+ MCU thanks to solutions by Cartesiam, Edge Impulse, Motion Gestures

Edge Impulse solutions enable machine learning on Cortex-M embedded devices (TinyML) such as 32-bit Arduino boards, STM32H7 boards, etc...

At Embedded World Germany, Qualcomm Technologies, Inc. announced the entry into an agreement to acquire EdgeImpulse Inc., which will enhance its offering for developers and expand its leadership in AI capabilities to power AI-enabled products and services across IoT. The closing of this deal is subject to customary closing conditions. This acquisition is anticipated to complement Qualcomm Technologies' strategic approach to IoT transformation, which includes a comprehensive chipset roadmap, unified software architecture, a suite of services, developer resources, ecosystem partners, comprehensive solutions, and IoT blueprints to address diverse industry needs and challenges. "We are thrilled about the opportunity to significantly enhance our IoT offerings with Edge Impulse's advanced AI-powered end-to-end platform that will complement our strategic approach to IoT transformation," said Nakul Duggal, group general manager, automotive, industrial and embedded IoT, and cloud computing, Qualcomm Technologies, Inc. "We anticipate that this acquisition will strengthen our leadership in AI and developer enablement, enhancing our ability to provide comprehensive technology for critical sectors such as retail, security, energy and utilities, supply chain management, and asset management. IoT opens the door for a myriad of opportunities, and success is about building real-world solutions, enabling developers and enterprises with AI capabilities to extract intelligence from data, and providing them with the tools to build the applications and services that will power the digital transformation of industries." Read full story

Enables more than 170,000 developers to create, deploy, and monitor AI models for a wide range of edge applications and hardware

An easy-to-use LiDAR camera that acts like a webcam for r...

Golioth showcased a Bluetooth node running a gesture detection program developed by EdgeImpulse on an nRF52840. The results of the detection are sent through a Bluetooth Gateway implementation packaged as a Snap and imported onto an Qualcomm iQ9 running Ubuntu.

At Embedded World, Qualcomm Technologies unveiled that the company had entered into an agreement to acquire EdgeImpulse Inc., which will enhance its offering for developers and expand its AI capabilities to power AI-enabled products and services across IoT.