Recently, there has been a sibilation about Chatbots. Chatbots are the applications that, instead of a graphical interface, make use of conversational UI. With any buzz-commendable innovation, there is the typical perplexity about what precisely a Chatbot is – and relying upon what number of articles you have perused, it is anywhere betwixt an improved IVR or the innovation which will bring about world peace. Conversational UI & Chatbots - neither of the two are new. Because of the underneath mentionedreasons the prevailing sibilation is ascribed. All organizations must think whether they need a system to have a "Conversational Application" – similarly they are needed for mobile applications.

Read the posts here, then write your own. The idea that we're shifting to the "next economy," to borrow the title of an O'Reilly Media conference I recently co-hosted with Tim O'Reilly in San Francisco, presupposes that our current one is ending. And that of course can be an unsettling prospect. People are wondering how they'll pay the bills. What life will be like in a world where AI, augmented reality, and the Internet of Things proliferate so rapidly that even the most diehard technophiles begin to wonder how long they can keep up with the treadmill of progress.

What goes into making a computer understand the world through senses, learning and experience, as IBM says Watson does? To build a body of knowledge for Watson to work on Jeopardy, researchers put together 200 million pages of content, both structured and unstructured, including dictionaries and encyclopedias. When asked a question, Watson initially analyzes it using more than 100 algorithms, identifying any names, dates, geographic locations or other entities. It also examines the phrase structure and the grammar of the question to better gauge what's being asked. In all, it uses millions of logic rules to determine the best answers. Today Watson is frequently being applied to new areas, which means learning new material.

Data science, advanced machine learning and artificial intelligence will be centre stage technologies shaping business in 2017 and beyond. That's according to analyst firm, Gartner, which predicts that enterprise will see "intelligence everywhere" as new software-based systems, which are programmed to learn and adapt, permeate businesses within the next three to five years. As outlined by Gartner vice president and fellow, David Cearley, these intelligent trends will intertwine to form a'digital mesh', blurring physical and digital workspaces. Artificial intelligence (AI) and advanced machine learning (ML) are intelligent machines that can understand, learn and operate autonomously. "Applied AI and ML give rise to a spectrum of intelligent implementations, including physical devices such as robots, autonomous vehicles and apps and services such as virtual personal assistants and smart advisors," Cearley said.

The upcoming Robotic Online Short Film Festival (or ROS festival) is a science fiction short film festival planning to focus on robotics related themes. The deadline for submitting short films is November 20, with films on display from December. We want to create a new space for dialogue between art, science and technology through audiovisual media and around the figure of the robot. The online festival provides a good scenario for promoting social reflection, creativity and artistic work around new realities, as well as opportunities and dangers posed by the technological convergence in which we are immersed. ROS Film Festival has two categories for competition: Fictional Robots, short films where robots have to come to life by usual film techniques (animation, characterization, puppets) and Real Robots, where the starring robots are robots whose hardware can be handled through software.

Imagine wanting a cup of coffee and suddenly finding it before you, freshly prepared to your exacting standards. In the not-so-distant future, this will be reality for Muggles, too. In fact, thanks to a surge in consumer data, brands and marketers can already make better inferences about consumer wants and needs, but as AI and machine learning are more deftly integrated, insights will only get better, as will the ability to anticipate consumer needs – and to even make decisions on behalf of consumers without any input from them whatsoever. Like, say, ordering a cup of coffee. As it stands, digital enables brands to customize offers for specific users rather than provide generic solutions.

The best television characters have already been immortalized on screen, given reruns and our ability to stream our favorite episodes on demand. Now early research at University of Leeds is attempting to give these characters new life, by building digital recreations that can appear in new episodes or even take over for Siri on your smartphone. The Leeds team is building a nearly-automated pipeline for capturing the digital essence of a TV character. A series of algorithms mutes the laugh track on a TV show, tracks the faces of each character, and analyzes their voices and body language, as well as the way their mouths move as they speak. The machine learning tool also scours the show's script in order to learn dialogue and understand how each character strings together sentences. TV is a natural fit for this kind of research, because there's so much video from which to learn.

Applied machine learning is a tapestry of breakthroughs and mindset shifts. Understanding the role of randomness in machine learning algorithms is one of those breakthroughs. Once you get it, you will see things differently. You will also start to see the abuses everywhere. In this post, I want to gently open your eyes to the role of random numbers in machine learning.

Government-funded artificial intelligence programs could soon be organized under a new effort by the General Services Administration. GSA earlier this month created the Data Federation, a site that intends to coordinate the disparate existing data-related efforts at various agencies by sharing standards, case studies and reusable tech tools. On Monday, GSA plans to announce a new community of practice, or subsection dedicated to artificial intelligence, according to Technology Transformation Service data portfolio lead Philip Ashlock. Ashlock was speaking at a Digital Government Institute conference on Thursday. The Data Federation is still in the very early stages, he said--long term, it's working with 18F and the Presidential Innovation Fellows program to develop a "maturity model" to understand how data projects tend to evolve.

CAMBRIDGE, UK: Professor Stephen Hawking on Wednesday opened a new artificial intelligence research centre at Britain's Cambridge University. Funded by a  10 million (11.2 million-euro, 12.3-million) grant from the Leverhulme Trust, the centre's express aim is to ensure AI is used to benefit humanity. Opening the new centre, Hawking said it was not possible to predict what might be achieved with AI. "Perhaps with the tools of this new technological revolution, we will be able to undo some of the damage done to the natural world by the last one - industrialisation. "And surely we will aim to finally eradicate disease and poverty. Every aspect of our lives will be transformed.