Search results for "ai edge computing"

Avnet will showcase IoTConnect demonstrations across a variety of exhibits at this year’s embedded world conference in Nuremberg, Germany from April 9-11.

Mouser Electronics has forged a new global partnership with Edge Impulse, a development platform that enables machine learning (ML) on edge devices, providing advanced intelligence to a wide range of products and devices, from low-power MCUs to efficient Linux CPU targets and GPUs.

Infineon Technologies has released details of its new PSOC Edge family of microcontrollers (MCUs) optimised for machine learning (ML) applications.

SECO, a global pioneer in delivering end-to-end technological solutions for industrial digitalisation, is strengthening their collaboration with Axelera AI on Computer Vision and Generative AI at the Edge, which will be highlighted with at embedded world 2024 in Nuremberg, Germany from 9–11 April, in hall 1, booth 1-320.

Electronic Specifier takes a look at some of the top announcements to come from CES 2024, in Las Vegas.

Discover how Arm and our global ecosystem 1,000+ partners can help accelerate your AI solutions on Arm at this year’s Embedded World. Join Arm speaker sessions, partner lightning talks, networking receptions and the Arm Hub of partner demos to discover the power-efficient platforms and software solutions enabling fast and frictionless deployment. Arm is fuelling the future of Edge AI.

Electronic Specifier speaks with RagaAI Founder Gaurav Agarwall to learn more about how and why we should be evaluating LLMs.

STMicroelectronics has revealed that Panasonic Cycle Technology, Co. Ltd. (Panasonic) has integrated the STM32F3 microcontroller (MCU) and the Edge AI development tool, STM32Cube.AI, into its TiMO A e-assisted bike.

SECO has announced it is working with NXP Semiconductors to bring its Clea software solution to industrial and IoT applications.

In the rapidly evolving world of automotive technology, software is taking centre stage. Software-Defined Vehicles (SDVs) offer a future of highly customisable features, over-the-air updates, and personalised experiences. This transformation, however, introduces a massive surge in vehicle data that needs to be efficiently managed in real-time.