PORTLAND, Ore., April 16, 2020 /PRNewswire/ -- SensiML™ Corporation, a leading developer of AI tools for building intelligent IoT endpoints, has released a new web-based AutoML tool with a simple but ...

Big-data company Databricks Inc. is hoping to empower so-called citizen data scientists to create their own machine learning models with new “Automated Machine Learning” capabilities in its Unified ...

NanoEdge AI Studio v5 is the first AutoML tool for STM32 microcontrollers capable of generating anomaly data out of typical logs, thanks to a new feature we call Synthetic Data Generation.

The days of handcrafted algorithms aren’t quite over, but it’s hard to dismiss to impact that automated machine learning (AutoML) is having on the data science field. As companies look to imbue ...

Automated machine learning (autoML) is the process of applying tools to data to apply the machine learning process to a real-world problem. Applying machine learning to a new dataset is a complicated ...

A research team from MIT, Hong Kong University, and Zhejiang University has open-sourced ATMSeer, a tool for visualizing and controlling automated machine-learning processes. Solving a problem with ...

Microsoft ML.NET is a code library for .NET Core (the multi-platform version of the .NET Framework). The ML.NET library allows you to use C# to create, train, and use three types of machine learning ...

Suppose you could develop an AI application without having to lift a finger. To some degree that is the goal of Automated Machine Learning, known as AutoML, which consists of an automated means to ...

AutoML, the application of machine learning to create new automation tools, is branching out to new use cases, making itself useful for particularly tedious data science tasks when training speech ...

Jason Murdock is a staff reporter for Newsweek. Based in London, Murdock previously covered cybersecurity for the International Business Times UK and B2B tech for V3.co.uk. Winner of The Drum's ...