Researchers at Google have open-sourced EvoLved sIgn mOmeNtum (Lion), an optimization algorithm for training neural networks, which was discovered using an automated machine learning (AutoML) evolutio ...

With AutoML, Google is essentially saying quality will be the main selling point for the service. Google's core pitch is that it will use its research and technology to democratize data.

But because autoML algorithms operate at a level of abstraction above the underlying machine-learning models, relying only on the outputs of those models as guides, they can save time and computation.

Automated modeling, standalone version But if AutoML is what you're after, you'll want to take a look at the new Alteryx Machine Learning product, a standalone, cloud- (and browser-) based offering.

AutoML is a technique where customers bring their data and walk away with a model without worrying about the complex workflow involved in training machine learning models.

Azure Machine Learning has both AutoML, which sweeps through features and algorithms, and hyperparameter tuning, which you typically run on the best algorithm chosen by AutoML.

Google AI creates its own ‘child’ AI that’s more advanced than systems built by humans The AutoML project is said to make process of designing machine learning models 'much more accessible' ...

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 ...

Since AutoML’s first product focuses on machine vision, it’s maybe no surprise that Figure Eight’s partnership with Google is also currently mostly about this kind of visual training data.

Rajen Sheth, the director of product management for Google Cloud AI, said that this extension of AutoML is yet another step toward the company’s vision of democratizing AI.