VINE: An Open Source Interactive Data Visualization Tool for Neuroevolution

Using Evolutionary AutoML to Discover Neural Network Architectures

The brain has evolved over a long time, from very simple worm brains 500 million years ago to a diversity of modern structures today. The human brain, for example, can accomplish a wide variety of activities, many of them effortlessly — telling whether a visual scene contains animals or buildings feels trivial to us, for example. To perform activities like these, artificial neural networks require careful design by experts over years of difficult research, and typically address one specific task, such as to find what’s in a photograph, to call a genetic variant, or to help diagnose a disease.

Ten Machine Learning Algorithms You Should Know to Become a Data Scientist

The Nexus Linking IBM, California Wine, and Climate Modeling

By 2015, Hamann says, the technology—which uses machine learning to extract insights from multiple layers of information—proved itself. Gallo improved yields on the test site while reducing water use. The partnership quickly found another use for IBM’s AI: analyzing a number of variablessuch as proximity to the winery, weather patterns, elevation, days of sunshine, and other factors toidentify suitable locations for new vineyards.