However, iOS users might have not realized it but there is already artificial intelligent capability applied in the current generation iOS operating system. The company has given a clear indication that it will continue to implement artificial intelligence features in its next generation operating system. Apple executives have created an impression that artificial intelligence is not a "final frontier" that other tech companies have predicted it to be but they did confirm that the company is working towards AI and other machine learning initiatives for the future. Apple executives also confirmed that the company does not have a dedicated team working on artificial intelligence or machine learning, so it is a bit confusing as to how the tech giant intends to apply such features in its future software updates.

Apple Inc. (NASDAQ:AAPL) is highly expected to release its next big iOS update during its upcoming September event, along with a host of new devices. Previously, it was believed that Apple would always have a limited approach towards artificial intelligence due to its tight control over user policy. However, iOS users might have not realized it but there is already artificial intelligent capability applied in the current generation iOS operating system. Top Apple executives revealed this in a recent interview with Backchannel. The company has given a clear indication that it will continue to implement artificial intelligence features in its next generation operating system.

Technology around us will provide an "augmented intelligence" that will help humans to make smarter decisions, improve business models and solve problems that were previously intractable. "The ways in which we are able to interact with computers is going to make people a lot more efficient and more effective, and build digital models." This, says Richard Paris, senior data scientist at KPMG New Zealand, is the future of digital. We are increasingly seeing the digital world interact in our everyday lives, says Paris, who spoke at the inaugural KPMG Technology Series in Auckland. People interact with smartphones and these devices are becoming our intelligent assistants.

Why can't computers watch the Earth from above and automatically map our roads, buildings, and trash heaps? Satellite operator DigitalGlobe is teaming up with Amazon, the venture arm of the CIA, and chipmaker Nvidia to try to make it happen. In a joint project, DigitalGlobe today released satellite imagery depicting the whole of Rio de Janeiro to a resolution of 50 centimeters. The outlines of 200,000 buildings inside the city's roughly 1,900 square kilometers have been manually marked on the photos. The SpaceNet data set, as it is called, is intended to spark efforts to train machine-learning algorithms to interpret high-resolution satellite photos by themselves.

There's a myth going around that music geeks are essential to good music curation. Just look at BuzzFeed writer Reggie Ugwu's glowing feature on the "small teams of anonymous, hardcore music fans [racing] to solve the record industry's toughest problem." Indeed, Pandora, Apple, Spotify, Tidal, Google Play, and the rest bend over backwards to make clear how much they rely on music experts, and there seems to be no worse slander than saying a competitor is dependent on algorithms. But do you really need a human to pick your music? In a world when we increasingly trust AI to pick our movies, dating options, email replies, scheduling, and much more?

Google is now using its RankBrain machine learning system to process every query that the search engine handles, and the system is changing the rankings of lots of queries. The news emerged this week as part of Steven Levy's Backchannel story about machine learning efforts at Google. Google is characteristically fuzzy on exactly how it improves search (something to do with the long tail? Of the hundreds of "signals" Google search uses when it calculates its rankings (a signal might be the user's geographical location, or whether the headline on a page matches the text in the query), RankBrain is now rated as the third most useful. We've already heard before that RankBrain is considered the most useful search ranking signal, behind content and links.

And while computer scientists have tried to simply program computers to speak and understand natural language, it has become more and more apparent that learning a language is the only way to truly understand it and capture all of the nuances. That's where the machine learning comes into play. NLP is more about a class of problems than a particular method. That being said, nearly all modern NLP solutions use machine learning.)

And while computer scientists have tried to simply program computers to speak and understand natural language, it has become more and more apparent that learning a language is the only way to truly understand it and capture all of the nuances. That's where the machine learning comes into play. NLP is more about a class of problems than a particular method. That being said, nearly all modern NLP solutions use machine learning.)

In this video H2O.ai Deep Learning Engineer and Architect Fabrizio Milo provides on overview of TensorFlow and explains how to the library within the H2O platform. TensorFlow is an open source, deep learning framework utilized by Google and DeepMind.

In this video, I explain the basics of recurrent neural networks. Then we code our own RNN in 80 lines of python (plus white-space) that predicts the sum of two binary numbers after training. I'm about to hit 10K subscribers soon. If and when I do, I'm going to start working on a machine learning music video to celebrate! I recently created a Patreon page.