Some metaphors end up forgotten by all but the most dedicated historians, while others lead long, productive lives. It's only a select few, though, that become so entwined with how we understand the world that we barely even recognize them as metaphors, seeing them instead as something real. Of course, why some fizzle and others flourish can be tricky to account for, but their career in science provides some clues. Metaphors, as we all by now know, aren't just ornamental linguistic flourishes--they're basic building blocks of everyday reasoning. And they're at their most potent when they recast a difficult-to-understand phenomenon as something familiar: The brain becomes a computer; the atom, a tiny solar system; space-time, a fabric. Metaphors that tap into something familiar are the ones that generally gain traction.

"Our research shows that a growing number of customers actually prefer self-service channels to answer questions, resolve issues or complete transactions. Yet, automated handling often hits limitations when it comes to handling complex queries or'remembering' information previously mentioned in a conversation," says Dan Miller, Opus Research lead analyst. "As intelligent assistant technology evolves; we anticipate the emergence of highly specialized'intelligent advisors' that know when and how to involve a live agent. Inbenta's Hybrid Chat is the beginning of this progress." "As a transactional e-commerce-based company, having a superior digital customer support program is essential. You wouldn't make your brick and mortar customers search your store without helping them, so why not give them a personalized experience virtually," says Andreia Ferreira, Live Chat Manager, Ticketbis.

Chat apps are very popular and arguably, most people would prefer engaging in a chat conversation rather than make a phone call. Going by recent buzz, it's apparent that tech giants are planning to bring chat conversations to advertisers and marketers. But there are many startups out there already using chat conversations to simplify user queries. Yellow Messenger is one such Bangalore-based startup. Instead of a team of people answering your queries however, it has put in place an Artificial Intelligence-powered interface that converses with users and responds to their queries related to shopping, real estate, recharge, etc.

And the artificial intelligence chatbot that didn't survive a day on the Internet. Plus: Reviewing Santiago Calatrava's latest, how to be unprofessional and the "Grand Theft Auto" modification that may have you watching for hours on end. Time has Russian drone footage that provides an overview of what remains of the old Silk Road crossroads, as well as the contemporary human settlement of Tadmur that sits nearby. About 80% of the artifacts appear to be largely intact. The country's antiquities chief says repairs will take five years.

They died out more than 40,000 years ago but the legacy left by two prehistoric species of early humans is far more widespread than had been previously believed. Scientists have discovered a surprising number of bloodlines around the world carry fragments of DNA from Neanderthals or their sister species, the mysterious Denisovans. Their analysis suggests that our modern human ancestors appear to have interbred with the Denisovans just 100 generations after their trysts with Neanderthals. Scientists have produced new maps showing the levels of Neanderthal and Denisovan ancestry around the world. And the study has unearthed some surprising new benefits these illicit encounters have gifted to modern humans living today.

An important step in data analysis is data exploration and representation. In this tutorial we will see how by combining a technique called Principal Component Analysis (PCA) together with Cluster Analysis we can represent in a two-dimensional space data defined in a higher dimensional one while, at the same time, being able to group this data in similar groups or clusters and find hidden relationships in our data. More concretely, PCA reduces data dimensionality by finding principal components. These are the directions of maximum variation in a dataset. By reducing a dataset original features or variables to a reduced set of new ones based on the principal components, we end up with the minimum number of variables that keep the maximum amount of variation or information about how the data is distributed. If we end up with just two of these new variables, we will be able to represent each sample in our data in a two-dimensional chart (e.g. a scatterplot). As an unsupervised data analysis technique, clustering organises data samples by proximity based on its variables.

This paper tackles the problem of endogenous link prediction for knowledge base completion. Knowledge bases can be represented as directed graphs whose nodes correspond to entities and edges to relationships. Previous attempts either consist of powerful systems with high capacity to model complex connectivity patterns, which unfortunately usually end up overfitting on rare relationships, or in approaches that trade capacity for simplicity in order to fairly model all relationships, frequent or not. In this paper, we propose Tatec, a happy medium obtained by complementing a high-capacity model with a simpler one, both pre-trained separately and then combined. We present several variants of this model with different kinds of regularization and combination strategies and show that this approach outperforms existing methods on different types of relationships by achieving state-of-the-art results on four benchmarks of the literature.

Artificial intelligence is advancing rapidly and poised to change the status quo in any number of industries, including healthcare. A recent report by Frost & Sullivan predicts the AI market in healthcare will reach 6 billion by 2021, up from just 600 million two years ago. With the shift to a value-based reimbursement model, ushered in with the Affordable Care Act, hospitals and providers are looking for new ways to increase efficiencies and improve patient outcomes. Cognitive solutions such as IBM's Watson system can assess huge amounts of patient data, provide guidance and decision support, and improve clinical workflow. The goal is to support the physician, not replace him or her, said Anil Jain, vice president of IBM's Watson Health and an internist and medical informatics specialist at the Cleveland Clinic.

A mesmerising simulation of the sun has provided the most accurate representation of its magnetic field to date. The hypnotic map shows the complex and turbulent forces that shapes the ball of plasma, causing violent solar flares and coronal mass ejections. Researchers hope the model could help solve a long-standing mystery about our star; if the magnetic lines on the surface are so chaotic, how is it that it has a unified magnetic field? A mesmerising simulation of the sun has provided the most accurate representation of its magnetic field to date. The hypnotic map shows the complex and turbulent forces that shapes the ball of plasma, causing violent solar flares and coronal mass ejections.

On March 23, Microsoft launched an artificial intelligent (AI) chat bot on twitter called TayTweets, and within hours, anonymous individuals had hijacked the experiment. Because the program was not built with contingencies meant to handle inappropriate questions or information gathering, like a human brain for instance, by asking the AI bot something in a specific manner people were able to get responses regarding Holocaust denial, 9/11 conspiracies and incest. On their project website, the Microsoft development team stated the bot was designed to conduct research on "conversational understanding" through engaging and entertaining people with playful conversation. "Unfortunately, within the first 24 hours of coming online, we became aware of a coordinated effort by some users to abuse Tay's commenting skills to have Tay respond in inappropriate ways. As a result, we have taken Tay offline and are making adjustments."