In a recent interview, AthenaHealth CEO Jonathan Bush noted the limitations of traditional doctors and said, "The human is wrong so freaking often, it's a massacre." "By 2025, AI systems could be involved in everything from population health management, to digital avatars capable of answering specific patient queries." Stephen Hawking has said the development of full Artificial Intelligence (AI) could spell the end of the human race – and Elon Musk agreed. In a recent interview, AthenaHealth CEO Jonathan Bush noted the limitations of traditional doctors and said, "The human is wrong so freaking often, it's a massacre." "By 2025, AI systems could be involved in everything from population health management, to digital avatars capable of answering specific patient queries."

Artificial intelligence technology has advanced leaps and bounds in a relatively short period of time. What once seemed like science fiction is quickly becoming a reality. The sudden advancement in the technology has reawakened some fears about what artificial intelligence could mean for the future of humankind. Recently, Stephen Hawking, arguably one of the most brilliant minds of the last century and Elon Musk, the CEO of Tesla Motors, have both voiced concerns about the future of artificial intelligence. Should we fear artificial intelligence?

LONDON: Scientists have discovered a way to remove specific fears from the brain, using a combination of artificial intelligence and brain scanning technology, an advance that may lead to new treatments for conditions such as post-traumatic stress disorder (PTSD) and phobias. Currently, a common approach is for patients to undergo aversion therapy, in which they confront their fear by being exposed to it in the hope they will learn that what they fear is not harmful. However, this therapy is unpleasant. Researchers from the University of Cambridge in the UK have found a way of unconsciously removing a fear memory from the brain. They developed a method to read and identify a fear memory using a new technique called'Decoded Neurofeedback'.

I think that having a so much great resources available can sometimes be both a blessing and a curse. It's great that we have so many tools and sources of information to choose from, but to make best use of it -- and our time -- it is really important to actually "choose" and keep "focused." I don't want to say that many resources are "redundant," since "redundant" has a somewhat negative ring to it. However, there are many different books, tools, and courses that cover essentially the same thing, although, the scope and style may be a bit different. So, instead of adding everything that we stumble upon to our reading lists, I'd say that it makes more sense to be absolutely clear about personal goals first ("What skills do I need to learn to solve problem X?," "Do I really to learn this new, shiny tool X instead of Y?").

I'm Yannis, and I joined Dataiku a few months ago to work on applying Deep Learning to image classification. I'm about to show you how to automatically tag images using a pre-trained neural network. Imagine you are an e-commerce company with thousands of flash sales available on your website every day. To view a product offer in detail, users have to click on the specific thumbnail, which is composed of an image and a short description. In these thumbnail images is hidden information, yet you don't know how to use it.

The IoT continued its toddler-like growth and stumbles in 2016. Here are five trends to look for in 2017 as the IoT enters its adolescence and how to benefit from them. Filling out a whole product value proposition through partnerships has repeatedly proven its importance across B2B and enterprise software sectors. In the IoT, they will be even more critical. As an example, the Industrial Internet Consortium (IIC) is driving the definition of platforms and test beds and should show results in 2017.

The Huawei Mobile Broadband Forum in Tokyo this week had tongues wagging about all the possibilities in a new 5G world. While the Chinese tech company would be behind the infrastructure that delivers 5G, the emphasis was on the next generation of apps that such pipes could bring. Whether it's driverless cars or simply cars with artificial intelligence to help humans drive safer and smarter, the amount of data involved makes a 5G mobile network imperative. The showfloor had several examples of this, including a Toshiba concept which had the car talking to the driver to advise on safety, navigation and fuel stops. Virtual and augmented reality was mentioned liberally during the forum.

This blog about machine learning was written by Emily Barry. Emily is a Data Scientist in San Francisco, California. Another thing she loves is data science. The more she learns about machine learning algorithms, the more challenging it is to keep these subjects organized in her brain to recall at a later time. So, she decided to marry these two loves in as productive a fashion as possible.

A new artificial intelligence tool created by Google and Oxford University researchers could significantly improve the success of lip-reading and understanding for the hearing impaired. In a recently released paper on the work, the pair explained how the Google DeepMind-powered system was able to correctly interpret more words than a trained human expert. The tool is called Watch, Listen, Attend and Spell (WLAS), and the paper describes it as a "network that learns to transcribe videos of mouth motion to characters." Using videos from the BBC, the team trained the system with a dataset of more than 100,000 natural sentences. While similar attempts in the past have focused on a narrow set of words, the report said, Google and Oxford wanted to address lip reading through "unconstrained natural language sentences, and in the wild videos."

It's easy for a small business to get lost in the center of the universe. In the big apple, small business is big business – but the competition is as fierce as the fashion. According to New York's Small Business Development Center, small businesses make up 99 percent of all New York businesses. Getting neighbors to like you, and come back often, is the lifeblood of small retailers everywhere, but New Yorkers are an especially tough crowd. We found one NYC retailer looking to grow exponentially over the next two years – turning to technology to literally lead the way.