Perhaps even moreso than even big data or blockchain, AI is fast becoming the buzzword on everyone’s lips. Machine learning has been a promising field for years, but with the astonishing success of deep learning techniques, we’re rapidly being propelled into an automated future. But can AI withstand the hype?

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

An insider tip: if you’re looking for the real inside track on tech innovation at a conference, look to the startups. Undoubtedly the larger companies have the resources and brainpower to fuel the innovations of tomorrow, but many of the nascent ideas which will revolutionise the ways we live and

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

Deep learning is a subfield of machine learning and it comprises several approaches to tackling the single most important goal of AI research: allowing computers to model our world well enough to exhibit something like what we humans call intelligence. On a basic conceptual level, deep learning approaches share a

If the popular media are to be believed, artificial intelligence (AI) is coming to steal your job and threaten life as we know it. If we do not prepare now, we may face a future where AI runs free and dominates humans in society. The AI revolution is indeed underway. To

Deep neural networks and Deep Learning are powerful and popular algorithms. And a lot of their success lays in the careful design of the neural network architecture. I wanted to revisit the history of neural network design in the last few years and in the context of Deep Learning. For

In the future imagined by science fiction, artificial intelligence will reign supreme and take over pretty much everything humans can do. Frankly this sci-fi vision isn’t helpful when it comes to applying technology because it distracts us from thinking about what people do well and what advanced techniques such as

Deep Learning is one of the key parts of data science. As data becomes increasingly important and accessible, today’s biggest companies are rapidly investing in deep learning. In fact, it is considered to be so vital to future technologies that many are sharing their own results and discoveries with the

Word is that Snapchat, the Los Angeles based photo messaging application, is preparing a foray into a very hot branch of artificial intellligence – deep learning. Citing a knowledgeable source, VentureBeat reveals that the popular app, with an interest in deep learning has been developing a research team “to run