Artificial intelligence can control self-driving cars, beat the best humans at incredibly complex board games, and fight cancer; but one thing it can't do perfectly is communicate. To help solve the problem, Google has been feeding it's AI with more than 11,000 unpublished books, including 3,000 steamy romance titles. "come with me," she said. "talk to me," she said. "don't worry about it," she said.

What do voice search, machine translation, and ATMs have in common? Check out their answers here: https://goo.gl/jpbMy9

But if you're looking for our most hated automated thing in the universe, that's easy. It's the Interactive Voice Response (IVR) system, better known as a phone tree. While bots may one day have the potential to replace customer support and e-commerce, human touch will remain essential to the experience for the foreseeable future. Leverage bots to handle the basics, but also create easy opportunities for customers to connect with a live human (or have one call back) if the interaction gets stalled.

Human beings have a love-hate relationship with automation. Some of the time we love it, and the rest of the time we absolutely hate it -- without much daylight in between. We love DVRs, learning thermostats, and Dollar Shave Club. We hate subscriptions we don't want, memberships we don't use, and meaningless auto-reply emails. Some of the biggest names in tech are coming to TNW Conference in Amsterdam this May.

Nasa has announced that it has found evidence of flowing water on Mars. Scientists have long speculated that Recurring Slope Lineae -- or dark patches -- on Mars were made up of briny water but the new findings prove that those patches are caused by liquid water, which it has established by finding hydrated salts. Several hundred camped outside the London store in Covent Garden. The 6s will have new features like a vastly improved camera and a pressure-sensitive "3D Touch" display

I have started learning tensorflow recently. I am trying to input my custom python code as training data. I have generated random exponential signals and want the network to learn from that. How can I use this graph as input vector in tensorflow?

The rise of free-to-play and other service-based business models in the online gaming market brought to game publishers problems usually associated to markets like mobile telecommunications and credit cards, especially customer churn. Predictive models have long been used to address this issue in these markets, where companies have a considerable amount of demographic, economic, and behavioral data about their customers, while online game publishers often only have behavioral data. Simple time series' feature representation schemes like RFM can provide reasonable predictive models solely based on online game players' login records, but maybe without fully exploring the predictive potential of these data. We propose a frequency analysis approach for feature representation from login records for churn prediction modeling. These entries (from real data) were converted into fixed-length data arrays using four different methods, and then these were used as input for training probabilistic classifiers with the k-nearest neighbors machine learning algorithm.

Artificial intelligence, machine intelligence, cognitive computing -- whatever you want to call machines that are capable of understanding and acting upon their environment -- is no longer solely the purview of highly credentialed lab directors and deep-thinking computer scientists. It has entered mainstream consciousness, and the public expects IT to play a leadership role as machine learning enters our workplaces, our living spaces and our lives. Chances are that you are not. Most executives, in the opinion of New York Times technology columnist John Markoff, are "ill prepared for this new world in the making." People have been thinking about automated work forever.

Accenture have announced a partnership with IPsoft, the creators of the cognitive agent Amelia. The two firms will collaborate to create the first Accenture Amelia practice, designed to accelerate client adoption of artificial intelligence to improve business outcomes and create new growth opportunities for their businesses. Accenture will utilize IPsoft's Amelia platform to develop go-to-market strategies, solutions and consulting service offerings around deployments of virtual agent technology for clients across several industries with initial focus on banking, insurance and travel. "Artificial intelligence is maturing rapidly and offers great potential to reshape the way that organizations conduct business and interact with their customers and employees. At the same time, executives are overwhelmed by the plethora of technologies and many products that are advertising AI or Cognitive capabilities," said Paul Daugherty, Accenture's chief technology officer.

Today, a few hundred Bay Area Facebook users will open their Messenger apps to discover M, a new virtual assistant. Facebook will prompt them to test it with examples of what M can do: Make restaurant reservations. Find a birthday gift for your spouse. It won't take long for Messenger's users to realize M can accomplish much more than your standard digital helper, suspects David Marcus, vice president of messaging products at Facebook. "It can perform tasks that none of the others can," Marcus says.