Artificial Intelligence Articles

Artificial IntelligenceFeaturedInterviewsMachine Learning

In terms of pioneering data-based technology, IBM are the gold standard. Indeed, IBM has held the record for receiving the most patents every year for the past 25 years and has developed countless revolutionary technologies, from SQL to the world’s fastest supercomputer. It should come as no surprise that IBM

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Artificial IntelligenceContributorsData NativesData ScienceFeaturedMachine Learning

With the help of a use case, Dr Patrick Vetter, Head of Competence Center Data Science at Supper and Supper GMBH explains how a deep learning methodology can locate and segment wind turbines on satellite imagery. As a pioneer in fighting global climate change, Germany is increasingly investing in renewable

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Artificial IntelligenceContributorsData NativesMachine Learning

A clever algorithm that has digested seven decades’ worth of articles in China’s state-run media is now ready to predict its future policies. The research design of this “crystal ball” can also be applied to tackling a variety of other problems. Supervised learning — the most developed form of Machine

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Artificial IntelligenceContributorsData NativesData ScienceFeaturedHealthcare

The data necessary to account for every aspect of our human complexity poses significant challenges to health AI systems. There’s certainly no way around data science to get a hold of it – but don’t you count physicians out too soon! Precision Medicine bears the promise to bring highly individualized

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Artificial IntelligenceContributorsData NativesData ScienceFeaturedUnderstanding Big Data

The cart before the horse? What are we talking about: You have the perfect scenario in front of you. You or your team just learnt about an exciting way to analyse data, found a new data-source that looks very promising, or were impressed by a new data visualisation tool. Understandably,

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Artificial IntelligenceBI & AnalyticsContributorsFeatured

In today’s IT world, everything is about being fast, flexible and efficient. We work agile, build prototypes and use fast-scaling adoptive cloud infrastructure. At the same time, the advances in the fields of AI and machine learning seem to make a business world possible, in which many tasks are optimized

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