Social Content is Clearly Overtaking Traditional Journalism Despite constant warnings from hardcore journalists and reporters alike, it seems that the people now prefer using the social media to remain up-to-date with the latest and greatest in international news, rather than relying on traditional news sources like the New York Times or The Telegraph. There is an obvious reason behind this increase. Almost everyone who knows how to use the internet probably has an account on Facebook and Twitter, and thanks to recent improvements in both the platforms, sharing and accessing latest content on the fly is easier than ever. As such, matters of importance and attention seem to be showing up on our Facebook and Twitter feeds far before they appear on any of the traditional news websites, causing people to flock to them instead. A number of reputed online news sources, including the Huffington Post, are now taking steps to ensure that content, especially news, can be shared across their platforms just as easily as it is on Facebook and Twitter.

Jibo will be one of the first robots for the home that can actually see its users. The first wave of home robots is already upon us with the Amazon Echo, and the coming Google Home. While these barebones bots can take simple commands, they can't really add anything to the conversation or scoot around your home. That's what the makers of Jibo are trying to create--a robot that can initiate conversation to complete tasks in the home--and they're tapping some of the world's foremost A.I. researchers to do it. Today, Jibo Inc. announces that its adding veteran researcher Michael I. Jordan to its advisory board.

The collaboration marks the first time DeepMind has applied machine learning to a healthcare project. The idea came to Pearse Keane, a consultant ophthalmologist at Moorfields, after he read a story about a DeepMind machine being trained to play Atari games. "I'd been reading about deep learning and the success that technology had had in image recognition," Keane told the Guardian. "I had the brainwave that deep learning could be really good at looking at the images of the eye." If successful, the technology will be capable of detecting eye conditions with a single digital scan.

Artificial Intelligence: A Modern Approach (AIMA) is a university textbook on artificial intelligence, written by Stuart J. Russell and Peter Norvig. The third edition of the book was released 11 December 2009. It is used in over 1100 universities worldwide[1] and has been called "the most popular artificial intelligence textbook in the world".[2] The book is intended for an undergraduate audience but can also be used for graduate-level studies with the suggestion of adding some of the primary sources listed in the extensive bibliography. Artificial Intelligence: A Modern Approach is divided into seven parts with a total of 27 chapters.[3]

A pair of riddles used during job interviews for Google and Goldman Sachs may have many applicants perplexed, but it's no problem for artificial intelligence. Google's deep neural network was put through the tests of the'hats riddle' and the'switch riddle' both which require complex-problem solving to determine the fates of hypothetical prisoners. The answers to these riddles are based upon coordinated strategy, and the researchers say the AI's ability to master such tasks reveals a step in the direction of collaborative systems. The prisoners can see the hats of the people lined up in from of them, but they cannot look at the hats behind them, or at their own. The executioner asks the last prisoner to state the colour of his hat.

As of today the connection between the robots and us is very limited. However, the advent of robots in the human life is becoming rather beneficial as the artificial intelligence is progressing. While the connection between the robots and humans is very limited, and as the technology advances, the role of robots in our lives is increasing as the technology advances. A noticeable change that happens to occur with the rise of robots is the loss of jobs. The technology has always been replacing people in the monotonous jobs with advanced machinery – robots. Nevertheless, an average person needs a healthcare, retirement plans and vacations -- robots don't.

At the Viva Technology conference, held in Paris, France, June 30 to July 2, 2016, Publicis Groupe announced its pick of the 90 most innovative startups that will receive funding and mentoring as part of the Publicis90 global initiative. The 90 winning projects reflect the major current trends in technology, including virtual reality, the Internet of Things and data security. The top three winning projects include Israeli startup Emerald Medical Applications, which specializes in dermatology, using the latest image recognition technology to make skin cancer detection quicker and easier. Another Israeli startup, Wiseye, specializes in retail and the Internet of Things. The company has developed a platform that gives retail industry professionals customer behavior insights based on data from several sources.

If you consider just the evolution of data management it has been a rocky road. Computers helped but there is still worldwide allot of paper. We move atoms more then bits. The history of big data efforts has not always delivered productive outcomes. Then came data warehousing where we digitize all of the information in paper files and put that in discs or databases.

Every week, Moorfields Eye Hospital in London performs 3,000 optical coherence tomography scans to diagnose vision problems. The scans, which use scattered light to create high-resolution 3D images of the retina, produce large quantities of data, and its analysis is slow. Understanding the images requires trained and experienced human eyes to identify problems specific to each case, leaving little or no time to identify broader, population-wide trends that could make early detection easier. That's just the kind of task that artificial intelligence can be used to tackle, though. So it's perhaps not surprising that Google's AI wing, DeepMind, has decided to partner with the hospital to apply machine learning to the problem as part of its Health program.

It's a beautiful introduction ... Try not to drool too much! Read "A Few Useful Things to Know about Machine Learning" by Prof. Pedro Domingos. It's densely packed with valuable information, but not opaque. The author understands that there's a lot of "black art" and folk wisdom, and they invite you in. Take your time with this one.