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Here's a little write-up on it, you can skim through the pretty pictures: Give it a try on some models and let me know how it works for you.

It's hard to believe Google is about to turn 20 years old. And while the company has changed drastically in the past two decades, going from being a simple search engine to a global tech titan, there's one thing that's been there from the very first day: the homepage Doodle. Since 1998, Google has kept its site looking fresh by creating different variations of its logo, inspired by cultural icons, events and phenomenons such as Pac-Man, the birth of hip-hop and more. More than 2,000 Doodles have adorned Google's homepage, each with a unique charm. But there are some that have stood out from the rest and will forever be embedded in people's memories.

According to the "Artificial Intelligence in Marketing Market by Offering (Hardware, Software, Services), Technology (Machine Learning, Context-Aware Computing, NLP, Computer Vision), Deployment Type, Application, End-User Industry, and Geography - Global Forecast to 2025", published by MarketsandMarkets, the market is expected to be valued at USD 6.46 Billion in 2018 and is likely to reach USD 40.09 Growth in the adoption of customer-centric marketing strategies, increase in demand for virtual assistants, and increased use of social media for advertising are the major factors driving the demand for AI-based marketing and sales solutions. Browse 67 tables and 59 figures spread through 200 pages and in-depth TOC on "Artificial Intelligence in Marketing Market - Global Forecast to 2025" Software holds a major share of the overall AI in marketing market owing to the developments in AI software and related software development kits. AI systems require different types of software, including application program interfaces, such as language, speech, vision, and sensor data, along with machine learning algorithms, to realize various applications for sales and marketing. Software platforms and solutions are available at high costs as there are limited number of experts that develop machine learning algorithms.

The Cambridge Analytica scandal showed us how Russian AI-powered fake news had the power to steer the U.S. 2016 presidential campaign. It is now a matter of fact that intelligent machines aren't the future of media and publishing, but the present. Although that last sentence may sound ominous, our future is not necessarily linked to a nightmare of fake news and social media managers stealing our private information, though. Artificial Intelligence, automation, machine learning and all the latest technology trends of the last few years are going to revolutionize our current scenario, and maybe, even in a better way. Believe it or not, you've probably read news articles written entirely by a machine.

The fourth industrial revolution is firmly upon us and it is one that will provide customers with a greater range of customized products and a better service experience, while allowing manufacturers to transition towards predictive and adaptive processes and machinery. Artificial intelligence (AI) is not a peripheral component of this industry change; it is at the heart of the fourth industrial revolution, a key enabler to take the step from automation to autonomy, creating growth and competitive advantage. Together with Industry of Things World, Europe's leading Industrial IoT conference, HPE surveyed 858 predominantly European professionals and executives from various industrial verticals to find out what effect AI has in the industrial sector today and is expected to have by 2030.[1] Their responses show that the European industrial sector has clearly understood and embraced the strategic power of AI--but it also reveals that there are some key challenges that have to be overcome to fully unleash its potential. Let's start with the really good news.

This article is part of our September 2018 series about the state of advertising. Artificial intelligence is being deployed far and wide in marketing and advertising. In fact, many of the tasks being handled by machine learning and other AI tools are making possible the kinds of user experiences that could not be possible even a couple of years ago. For example, AI is doing the heavy lifting to enable personalization and agile product development to meet the rising demands of consumers. "AI is doing way more than just housekeeping," said Keith Eadie, VP and GM of Adobe Advertising Cloud.

Since Fritz Lang gave us'false Maria' in 1927's landmark sci-fi film Metropolis, robots have terrified and fascinated moviegoers in equal measure. With the release of Alex Garland's Ex Machina, Michael Hogan picks his top 20 films (in no particular order); including Star Wars, The Terminator, Star Trek and Blade Runner; that star A.I. beings who have challenged what it means to be human.

At turns lively and yearning, the traditional folk musics of Ireland and Britain have made their mark around the world. Now these perennially popular forms of music are helping computers learn to become a new kind of partner in music creation. A machine learning system overseen by a researcher in Sweden has produced 100,000 new folk tunes to date, generating a diverse range of reactions from folk musicians and the public. Some of the music can even be heard on a newly-released album by an Irish folk group. Bob Sturm, associate professor of computer science at KTH Royal Institute of Technology, says that the main idea of the project was to train computer models on folk music, so that they appear to have some musical intelligence, and then to "devise methods to unravel what they are actually doing," he says.