Wednesday 23 March 2016 03.00 EDT Last modified on Wednesday 23 March 2016 03.02 EDT

Machine learning is already a very big deal. It's here, and it's in use in far more businesses than you might suspect. A few months back, I decided to take a deep dive into this topic to learn more about it. In today's post, I'll dive into a certain amount of technical detail about how it works, but I also plan to discuss its practical impact on SEO and digital marketing. For reference, check out Rand Fishkin's presentation about how we've entered into a two-algorithm world.

In January, the hedge fund Aidyia started trading on the stock market using an artificially intelligent algorithm. Hedge funds are increasingly turning to artificial intelligence in order to spot trends to try to make money for their customers. BBC Click spoke to Ben Goertzel about his hopes for the future of the company.

This long article with a lot of source code was posted by Suraj V Vidyadaran. Suraj is pursuing a Master in Computer Science at Temple university primarily focused in Data Science specialization. His areas of interests are in sentiment analysis, data visualization, big data and machine learning. This data is obtained from UCI Machine learning repository. The purpose of the analysis is to evaluate the safety standard of the cars based on certain parameters and classify them.

Almost half of U.S. jobs may one day be automated. For some employees who worked at a free on-demand concierge, that day came last month. For about a year, Sam Fox-Hartin had worked for an on-demand concierge startup called GoButler as a "Hero," the company's term for employees who field users' requests, via text message, and then complete tasks such as booking tables at restaurants, scheduling appointments, or ordering food for delivery on their behalf. Most of these tasks, like the ones I watched Fox-Hartin maneuver when GoButler invited me to visit its New York headquarters last year, were fairly routine. But he also wrote poems.

A Google artificial intelligence program has beaten the European champion of the board game Go. The Chinese game is viewed as a much tougher challenge than chess for computers because there are many more ways a Go match can play out. The tech company's DeepMind division said its software had beaten its human rival five games to nil. One independent expert called it a breakthrough for AI with potentially far-reaching consequences. The achievement was announced to coincide with the publication of a paper, in the scientific journal Nature, detailing the techniques used.

These days, Google is making headlines as its artificial intelligence (AI) AlphaGo beated top pro Go player Lee Se-dol 2:0 in a highly publicized five-game Go series. The internet search giant is expanding its AI business by taking over four robotics companies including DeepMind which designed AlphaGo. But in Korea, AI is an underdeveloped and poorly invested sector. "Korean companies have not made much progress in AI research. They still have a long way to go in terms of AI commercialization," said Jin Jeong-yeol, director of the Kohyoung Technology.

I absolutely love where I'm at and grateful to be the steward of this brand and interesting niche space. Well, I don't reflect on achievements too often, quite honestly. Rather, I'm always striving to grow as a person and professional. But in the past year, I've experienced more growth in my skill-sets than ever before. I'm a self-taught web developer and have been growing my expertise in product development, UX and other facets of design.

It's a good trait to have for this particular demo. He's showing Tech Insider the capabilities of Hound, a free voice assistant app that's being released publicly for iPhone and Android on Tuesday. "What is the population and capital for Japan and China and their areas in square miles and square kilometers and also tell me how many people live in India and what is the area code for Germany, France, and Italy," Mohajer breathlessly says into his Android phone. If you were to ask Siri or Google Now even half of that query, you'd get nothing in return. Mohajer is pulling out the stops to show off the power of Hound, a voice recognition assistant his company SoundHound has been quietly building for the last 9 years.

Henri Waelbroeck seems to fit the popular image of the scientist transplanted into the world of high finance and hedge fund trading, the sort of stereotype found in books like "The Fear Index" by Robert Harris. Waelbroeck, director of research at machine learning-enhanced trade execution system Portware, was previously a professor at the Institute of Nuclear Sciences at the National University of Mexico (UNAM). His areas of expertise include: complex systems science, quantum gravity theories, genetic algorithms, artificial neural networks, chaos theory. The impression Waelbroeck conveys is one of precision. He explains that algorithms have grown in complexity since being introduced to the world of trading around 2000. This has made it increasingly difficult for traders to understand each vendor's full algorithm platform and how to optimally select an algorithm for each particular trade that comes in from a portfolio manager.