Are we moving a bit closer to the day when machines can read our minds?

The presentation started with an interesting video clip showing how a customer experience Banking Transaction, which no one had ever dreamt of.

Jack Schofield, the Guardian's former computer editor and author of its technology advice column, Ask Jack, for almost 20 years, has died aged 72. Schofield was taken to hospital following a heart attack on Friday night and died on Tuesday afternoon. The Guardian's editor-in-chief, Katharine Viner, said: "Jack Schofield was one of the first true technology and computing experts in British journalism. In more than 35 years writing for the Guardian, he saw (and foresaw) the rise of personal computers, the advent of the internet, Google, smartphones and much more. His Ask Jack column was an essential and expert guide for generations of Guardian readers. Our thoughts are with Jack's family and friends at this sad time."

A scientist and a researcher, Brian Roemelle, once said that artificial intelligence is the electricity of the future. And it is difficult to disagree, for AI has a huge impact on many industries right now -- from banking to auto. But have you ever thought how AI works for a sextech? Great changes are happening right now, and although you may not even notice it, your sex experience is getting better. The sex industry is booming -- people accept themselves and their bodies, some of them open out, some start experimenting, and some identify themselves as digisexuals (people whose primary sexual identity comes through the use of technology -- they don't need other people to have sex to).

Kaitlin Ugolik Phillips Kaitlin Ugolik Phillips is a journalist and editor who lives in Raleigh, North Carolina. Her writing on law, finance, health, and technology has appeared in the Establishment, VICE, Quartz, Institutional Investor magazine, Law360, Columbia Journalism Review, and Narratively, among others. She writes a blog and newsletter about empathy featuring reportage, essays, and interviews. Her book The Future of Feeling is available from Little A.

Recommender systems are software applications that help users to find items of interest in situations of information overload. Current research often assumes a one-shot interaction paradigm, where the users' preferences are estimated based on past observed behavior and where the presentation of a ranked list of suggestions is the main, one-directional form of user interaction. Conversational recommender systems (CRS) take a different approach and support a richer set of interactions. These interactions can, for example, help to improve the preference elicitation process or allow the user to ask questions about the recommendations and to give feedback. The interest in CRS has significantly increased in the past few years. This development is mainly due to the significant progress in the area of natural language processing, the emergence of new voice-controlled home assistants, and the increased use of chatbot technology. With this paper, we provide a detailed survey of existing approaches to conversational recommendation. We categorize these approaches in various dimensions, e.g., in terms of the supported user intents or the knowledge they use in the background. Moreover, we discuss technological approaches, review how CRS are evaluated, and finally identify a number of gaps that deserve more research in the future.

Newswire) VSBLTY Groupe Technologies Corp. (CSE: VSBY) (Frankfurt: 5VS) (OTC: VSBGF) ("VSBLTY"), a leading retail software and technology company, and RadarApp, a Smart City Solutions provider, are now testing crowd temperature scanning as a tool to help identify potential at risk individuals and ultimately reduce the spread of disease. The testing was launched at the urging of Mexico City officials who are investing in the safety kits and integrated security program that is already proving successful in reducing crime. As previously announced, the firms are installing thousands of security kits, powered by VSBLTY software, in the initial phase of the "Smart City" intelligent camera network program, RADAR. VSBLTY previously announced this deal to have a projected three-year value of $10M USD. In addition to a remarkable impact on crime reduction, VSBLTY is working with RadarApp to test the addition of infrared camera capability that enables temperature scanning of crowds in various locations along with a correlation to face capture.

The explosion of breakthroughs, investments, and entrepreneurial activity around artificial intelligence over the last decade has been driven exclusively by deep learning, a sophisticated statistical analysis technique for finding hidden patterns in large quantities of data. A term coined in 1955--artificial intelligence--was applied (or mis-applied) to deep learning, a more advanced version of an approach to training computers to perform certain tasks--machine learning--a term coined in 1959. The recent success of deep learning is the result of the increased availability of lots of data (big data) and the advent of Graphics Processing Units (GPUs), significantly increasing the breadth and depth of the data used for training computers and reducing the time required for training deep learning algorithms. The technology that animated movies like "Toy Story" and enabled a variety of special effects is the ... [ ] focus of this year's Turing Award, the technology industry's version of the Nobel Prize. The term "big data" first appeared in computer science literature in an October 1997 article by Michael Cox and David Ellsworth, "Application-controlled demand paging for out-of-core visualization," published in the Proceedings of the IEEE 8th conference on Visualization.

The next 10 years look just as topsy-turvy. Artificial intelligence and machine learning promise to change the competitive landscape for many companies. At the same time, talented professionals will continue to demand more from their jobs through increased calls for transparency around pay and fairness and more flexibility in work-life balance. It's a lot for companies to navigate, and they're struggling with it: an analysis by Korn Ferry of more than 150,000 leadership profiles shows that only 15% of business leaders today have the right blend of skills to be the leaders of tomorrow. But such disruption can be a boon to workers who are agile and forward thinking.