You know that bots are coming of age when Google hires comic writers from satirical site The Onion and scriptwriters from Pixar and they're being launched on major learning platforms such as Duolingo. They know that real conversations between humans and machines need to cope with light conversation idle talk and humour. The banter has to get better if we are to use voice or text activated bots regularly. Facebook, Amazon, Microsoft and Google are all in the chatbot game and dozens of startups are creating bots - MykAi (banking), GoButler (personal assistant), GoodService (Concierge). Conversational interfaces and conversational commerce have arrived and, as Chris Messina, Uber's'experience' guy says'chat is the new black'. Messaging services are among the most popular services online and young people have flocked to them, away from the more staid posting.

Research firm Gartner released its annual report this week on hype in technology, sharing which technologies are up-and-coming, which are at peak hype, and which have moved well into mainstream territory. You probably won't be surprised to learn that machine learning is riding the highest crest of the "peak of inflated expectations" wave. You might be surprised, though, by the technologies coming up behind it. For those who associate the term "hype" with failure, realize that that's what this report is bringing into focus. Instead, it highlights "the set of technologies that is showing promise in delivering a high degree of competitive advantage over the next five to 10 years," Mike J. Walker, research director at Gartner, said in a statement.

The Chief Marketing Officer's list of responsibilities continues to get longer and more complex, with many CMOs perceiving risk management as yet another undertaking added to the mix. Dealing with risk is not something that CMOs traditionally put at the top of their to-do lists. But as the potential benefits of enterprise risk management become better understood, other C-suite executives are increasingly formalizing how they monitor and address risk. This shift is creating an imperative for the CMO to follow suit.

The work: - Help us build the next personalization platform for one of the largest populations in the world! - Work with massive data from multiple applications and 125 Million customers - Understand the theory and application of theory for common classification, clustering, NLP, and collaborative filtering - Have experience or aptitude in graph databases or graph analytics - Care about designing the full machine learning pipeline - Feature creation, feature creation, feature creation - Design and implement A/B Testing and other validation processes The skills: - You have demonstrable software engineering experience in Java, Go, or Scala. Should you require accommodations during the recruitment and selection process, please let us know. Paytm Labs is an equal opportunity employer. We thank all applicants, however, only those selected for an interview will be contacted.

As restrictions prevent foreign internet companies like Google and Facebook from operating in China, Chinese technology companies have free access to its users, resulting in access to more data, which in AI research means better results. China is also considering military applications for AI, most notably the development of next-generation "fire-and-forget" cruise missiles equipped with AI. Not to be left behind in the AI race, the White House established the NTSC Subcommittee on Machine Learning and Artificial Intelligence in May this year, which in turn created the National Artificial Intelligence Research and Development Strategic Plan. This plan advocates creating a better setting in the US to enable growth in AI research. Increased support for AI research in the US will aid key players like Amazon, Microsoft, Google, Apple, and IBM.

In 2014, IBM launched the Watson Developer Cloud, making the power of cognitive computing available to developers across the world through a set of APIs on IBM's BlueMix platform. We've seen volumes of applications built by companies covering everything from personal health and fitness to travel and entertainment to financial services. It was amazing to see these early adopters jump onboard and showcase the power of cognitive computing. We want to make it even easier for developers to learn how to build and deploy cognitive applications – and even more importantly, to distinguish themselves for having developed these critical skills. That's why today, IBM is announcing a new program -- the IBM Watson Application Developer Certification -- designed to help developers all across the world build and validate their skills as well as connect with companies looking to leverage their unique talents. We watch every day as individuals explore and apply Watson in new ways -- from building natural language interfaces in a variety of languages so consumers can get answers faster to helping doctors uncover critical new insights from medical imagery.

But physics and chemistry give us a clear definition of the element magnesium -- which we can then use in the Wolfram Language to have a well-defined "magnesium" entity. It's very important that the Wolfram Language is a symbolic language -- because it means that the things in it don't immediately have to have "values;" they can just be symbolic constructs that stand for themselves. And so, for example, the entity "magnesium" is represented as a symbolic construct, that doesn't itself "do" anything, but can still appear in a computation, just like, for example, a number (like 9.45) can appear. There are many kinds of constructs that the Wolfram Language supports. Like "New York City" or "last Christmas" or "geographically contained within." And the point is that the design of the language has defined a precise meaning for them. New York City, for example, is taken to mean the precise legal entity considered to be New York City, with geographical borders defined by law.

I was quite surprised to read the other day a statement by a former FBI Chief. He said: "We're not going to solve it (cyber security), folks, not in our lifetime, but we have to constantly manage it." He went on to say that we owe it to future generations to manage cyber security effectively or leave a legacy that will make cyber security far easier to manage in the future. At best we will be locked into an arms race where each side ups their game to get ahead of the other. At the moment the bad guys are way ahead of us and I agree that how we manage cyber security effectively is the best way forward for now and in the future.

This is a problem for scientists working toward the creation of Artificial Intelligence (AI) systems capable of performing complex tasks with minimal human supervision. In a step toward overcoming this hurdle, researchers at Google's DeepMind -- the company that developed the Go-playing computer program AlphaGo -- announced earlier this week the creation of a neural network that can not only learn, but can also use data stored in its memory to "logically reason" and make inferences to answer questions. DeepMind's new system -- called a Differentiable Neural Computer (DNC) -- combines deep learning, wherein it can learn from examples and make sense of complex input it has never received before, with an external memory, which, as the DeepMind researchers Alexander Graves and Greg Wayne explain in a blog post, allows it to "store knowledge quickly and reason about it flexibly." In order to achieve this, the researchers first trained the neural network using randomly generated map-like structures -- a process that allowed the DNC to learn how to store connections between various parts in its external memory. After this, when it was confronted with a new map, the DNC was able to provide answers that were not explicitly stated in the data set.

When I see my parents use computers, it's clear that there's something that gets lost in the communication between computer and person. I think often that a big part of this is a lack of understanding of bugs/exceptions. In a way, there is a lack of fault tolerance in how my parents interact with their computers. When an app crashes, an email doesn't send, or a screen freezes, there's a sense of bewilderment, even incredulity. But when you grow up natively with computers, your fault tolerance is higher and you learn to navigate the bugs that inevitably arise because you understand at an almost innate level how they work.