Machine learning is the next great computer revolution, one that is already here. We don't have to wait for the future; Google has been using machine learning to solve many complex search-related problems for years, and the applications keep growing, including last year's announcement of the addition of RankBrain to the search algorithm. In this episode of #HeresWhyMonday, Stone Temple CEO Eric Enge and Sr. Director of Marketing Mark Traphagen explain what machine learning is, and why it is changing everything about search and SEO. If the video helps you understand this topic better, please use the share buttons to let others know about it. Don't miss a single episode of Here's Why with Mark & Eric.

The art and science of marketing are on a collision course. Many tasks commonly performed by marketers, such as copywriting, data analysis and strategy, are at risk of being computerized in the near future. While this likely means job loss in some areas, it opens up a world of opportunity for marketers and brands to drive innovation and accelerate success. "There is a science and an art to every profession. Soon, Watson will know the science better than a human. Humans will need to focus on the art of their profession -- the creative elements only they can provide."

If you have been searching for AI books to help you with as good start then you have come to the right place these book covers the basics to high end stuff. Machine learning is the study of computer systems that learn from data and experience. It is applied in an incredibly wide variety of application areas, from medicine to advertising, from military to pedestrian. Any area in which you need to make sense of data is a potential customer of machine learning. An introduction to Prolog programming for artificial intelligence covering both basic and advanced AI material.

DeepMind was a relatively unknown artificial intelligence (AI) startup in London up until 2014, when it was bought by Google for around 400 million. Today some of the smartest people in the world are queuing up to work at DeepMind, according to an article by Celemency Burton-Hill in The Guardian in February. Interestingly, the same article states that no one has ever left DeepMind, which has created a series of algorithms that can learn for themselves and beat the best humans at games like Go and "Space Invaders." Based in up-and-coming King's Cross, DeepMind now employs around 250 people. However, as Burton-Hill points out, getting a job there is far from easy.

Amazon Services is one of the fastest growing businesses within Amazon. There are over 1.9 million merchants, ranging from students selling their text books to nation-wide retail chains, selling on Amazon's international marketplaces. Collectively, these merchants are responsible for selling about 1/3rd of all items ordered from Amazon.com world-wide. AmazonServices.com is the destination online for sellers to learn, sign-up and to grow their business with Amazon. The team is looking for passionate, talented, and super-smart software engineers.

One area of technology that is helping improve the services that we use on our smartphones, and on the web, is machine learning. Sometimes, the terms machine learning and artificial intelligence get used as synonyms, especially when a big name company wants to talk about its latest innovations, however AI and machine learning are two quite distinct, yet connected, areas of computing. The goals of AI is to create a machine which can mimic a human mind and to do that it needs learning capabilities. However the goal of AI researchers are quite broad and include not only learning, but also knowledge representation, reasoning, and even things like abstract thinking. Machine learning on the other hand is solely focused on writing software which can learn from past experience.

A report published by the libertarian think tank the Cato Institute warns that the fruits of technological innovation could mean a new range of unexpected threats to the United States. Terrorists and small states equipped with weapons that take advantage of new technologies could devastate U.S. forces abroad--and even strike the homeland. Hammes, a retired U.S. Marine Corps infantry officer and expert on so-called "asymmetrical warfare"--warfare in which combatants avoid enemy strengths to strike weaknesses--warns that technologies such as 3D printing, nanotechnology, space and near-space travel, drones, and artificial intelligence could lead to cheap, inexpensive weapons with intercontinental reach, devastating lethality, and the ability to overwhelm U.S. defenses. According to Hammes, the linchpin of these capabilities is additive manufacturing, or 3D printing. Combine those two and you have a tiny tank hunter that can be difficult for tank crews to shoot down.

Microsoft has decided to pull back its first publicly available artificial intelligence (AI) robot, after a horrible test run. Earlier this week, Microsoft released an artificial intelligence named Tay, who ran through an official Twitter Account, @Tayandyou. Within 24 hours of Microsoft releasing the AI on Twitter, Tay was shut down by Microsoft because of the offensive subject matter the bot was tweeting out. In a CNN Money Article by Hope King titled "After racist tweets, Microsoft muzzles teen chat bot Tay," a comment was made by Microsoft on the incident. "Microsoft blamed Tay's behavior on online trolls," according to the article, "saying in a statement that there was a coordinated effort to trick the program's commenting skills."

The accomplishments of artificial intelligence are making it a popular topic in the news again, both for its wins and its (apparent) failures. General artificial intelligence hasn't quite lived up to its full potential yet, but more open source AI projects could help speed up development. This week, Amazon hosted an exclusive conference that brought together big names from fields such as space exploration, robotics, and artificial intelligence. The event, which was held at the Parker Palm Springs Resort in California, was invite-only and received almost no publicity. Artificial intelligence is not as advanced as you may think.

Artificial intelligence has graduated past the infancy stage of figuring out what's in an image. Computers have previously been capable of little more than a simple game of I Spy: Name a specific object or person, and they'll show you an image containing it. But thanks to new developments in AI research, machines can now answer more complex questions, like, "What is there on the grass, except the person?" A research paper published on Thursday in Cornell University's Arxiv outlines a system that learns to identify fine-grained visual features of images, and the words associated with them. Then it combines the two into a dictionary in its digital brain.