A human-like robot showed up at a pub on earth to freak some people out -- and it worked. To get people pumped about the robot revolution, NOW TV built humans a new friend Fred, the "ultra-realistic" robot and planted him in a London pub where things proceeded to get strange. Like most Westworld "hosts," Fred is a bit glitchy, and a generally ominous guy. Unlike on the show, none of the pub patrons endeavored to use him for target practice or more indulgent pursuits. But it turns out Fred is a highly engaging conversation partner.

A robot enters a bar. A new stunt shows pub goers being stunned to be joined by a uncannily human-looking android, before it breaks a glass. And the team behind it say it offers a hint at the future of exactly the kind of robots that could surround is in the future. The robot, created by Now TV ahead of the beginning of the second season of Westworld, did not engage in any of the vintage hijinks or intense action that the androids in the films get involved with. But it does have something in common with it: going in the pub, and freaking out people who engage with it.

A'malfunctioning' robot named Fred has terrified drinkers in a London pub by smashing a pint glass while talking about a'robot invasion'. The hyper-realistic automaton, modeled to be an exact replica of London-based actor Tedroy Newell, sat down for a refreshing lager at The Prince Alfred pub in Maida Vale, in the west of the capital. Unsuspecting customers were unprepared for what came next, with the humanoid berating locals before crushing the drinking vessel in his hands. The robot, described as'indistinguishable from humans', was created as part of a stunt to promote TV Series Westworld. A'malfunctioning' robot has terrified shocked drinkers in a London pub, by smashing a pint glass and talking about a'robot invasion'.

Apple finally joined the smart speaker competition in February with the launch of its $349 HomePod. The device was anxiously anticipated. Reports that Apple had been working on a "Siri speaker" had circulated for more than a year, but the device missed its targeted December 2017 debut. Now, the HomePod seems to be missing the mark with consumers. According to recent reports, HomePod sales haven't hit Apple's expectations, and the company is considering options including a lower priced model.

Artificial intelligence and machine learning were one of the many hot topics thrown around at this year's NAB Show, with companies hinting at its future potential to enhance workflows and create new efficiencies for broadcasters. For most, however, it was closer to a buzzword to show the potential future impact with limited real-world applications as of yet. Efficiency is always a very important topic. How do you help me do this better and cheaper?" said David Cohen of Grass Valley. Some of the true implementations of machine learning and A.I. on display at the show for broadcasters included technology like IBM's Watson through Max Engage or the newly announced Avid AI platform. With Watson in The Weather Company's Max Engage, weather forecasts are further honed and the system can predictively alert app users based on location and preference presets. The technology, which uses machine learning and real-time data feeds, has been present in TWC's tools for about a year. The system can also push content out to social media platforms based on set conditions, such as a thunderstorm warning with some targeting capabilities. Avid AI, on the other hand, works to make content indexing and archiving easier, adding new search features based on speech-to-text, facial recognition, language detection and scene detection. Of course, with a technology like this, you're gambling that the metadata entered is correct when you go to search for it years down the road. Metadata and ingest represent a popular application for A.I., helping reduce staff time on a tedious task, but one must proceed with caution to ensure accuracy and dependability. "I used to work at NBC radio and we moved locations.

Content security specialist NAGRA is partnering with the Entertainment Technology Center, a think-tank and research centre within the USC School of Cinematic Arts, to map cinemagoer demographics. The data science study is being conducted to support the launch of myCinema, a broadband-based in-theatre platform which offers a large catalogue of alternative content titles to theatre circuits of all sizes and locations. "Identifying the right content for each theatre's catchment area is a critical pillar of what makes myCinema unique and alluring for local communities," said Glenn Morten, ETC@USC executive board member and vice president of Cinema Strategy & Solutions at NAGRA. "Leveraging together the ETC's thought and practice leadership in the field of audience intelligence and NAGRA Insight big data and artificial intelligence platform will be instrumental to the success of this endeavour." The Data & Analytics Project at the USC's Entertainment Technology Centre has been running for more than two years, built to help the entertainment industry accelerate the deployment of next-generation analytics standards and solutions, including artificial intelligence.

In supervised learning, we leverage a labeled dataset to design methods for function estimation. In many practical situations, we are able to obtain alternative feedback, possibly at a low cost. A broad goal is to understand the usefulness of, and to design algorithms to exploit, this alternative feedback.

Open any newspaper, on-screen or off, and you'll find that scientific controversy underlies many of the day's most hotly debated issues. The arguments surrounding genetically modified organisms, the threat of artificial intelligence to human existence, and stem cell research are exemplary. Science, a domain that we might naively expect to provide objective knowledge and definitive answers, has always been and will remain forever contested. What is the non-expert--that is, most of us--to do? For most issues, interpreting research findings or parsing the academic debate is infeasible.

Popular culture has long used our relationships with machines to grapple with such themes as how one defines life, self-awareness, and, ultimately, what makes up a soul. Perhaps the best reference point for these kinds of philosophical questions comes from Philip K. Dick, whose seminal science fiction work Do Androids Dream of Electric Sheep? serves largely as the basis for the cult-classic film Blade Runner. Published in 1968, Dick's book offers a simple thesis: the difference between humans and androids is the ability to express love and compassion. Put another way, our differences come down to an ability to genuinely express empathy. The application of empathy is a fundamental driver of customer experience (CX) strategy.

Forget fake news for a moment. Artificial intelligence is now able to generate a convincing video of a celebrity or public figure. For illicit purposes, these videos are called deepfakes and show a celebrity superimposed into an adult movie. A programmer finds existing video and audio for a known figure, then the AI takes over and creates a brand new version. However, fake videos showing President Trump speaking at an event, or a world leader declaring war, or a politician making false claims could be on the near horizon.