Abstract: The five papers in this special section address different aspects of automated machine learning (AutoML) from fundamental algorithms to real-world applications. Developing high-performance ...

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AutoML for Embedded, developed by Analog Devices (ADI) and Antmicro, is an open-source plugin for Visual Studio Code that works alongside ADI’s CodeFusion Studio plugin. Built on the Kenning framework ...

Artificial intelligence (AI) is rapidly moving to the edge with demand for intelligent edge devices exploding, but many developers still struggle to fit powerful models onto tiny microcontrollers.

Analog Devices and Antmicro have released AutoML for Embedded, a tool that simplifies AI deployment on edge devices. Part of Antmicro’s hardware-agnostic, open-source Kenning framework, it automates ...

A startling milestone has been reached in Florida's war against the invasive Burmese pythons eating their way across the Everglades. The Conservancy of Southwest Florida reports it has captured and ...

The ability to anticipate what comes next has long been a competitive advantage -- one that's increasingly within reach for developers and organizations alike, thanks to modern cloud-based machine ...

Please help, my command is python main.py --mode=train --model_name=efficientnetv2-s --dataset_cfg=imagenet --model_dir=D:\Code\Pycharm\automl-master\efficientnetv2 ...

Qlik, a data integration, analytics, and artificial intelligence solutions provider, has enhanced its AutoML to help analytics teams build and deploy high-performing machine learning models, providing ...

Automated Machine Learning has become essential in data-driven decision-making, allowing domain experts to use machine learning without requiring considerable statistical knowledge. Nevertheless, a ...