Collaboration With STFC Hartree Centre Taps into IBM Watson to Improve Patient Experience. Alder Hey Children's NHS Foundation Trust today announced a ground-breaking multi-year collaborative programme with the Science and Technology Facilities Council's (STFC) Hartree Centre, supported by IBM (NYSE: IBM), to create the United Kingdom's first'cognitive' hospital by harnessing'big data' and the power of IBM's Watson technology platform. This is the first time that Watson technology will be applied to improve patient experience in the United Kingdom. Alder Hey and the Hartree Centre believe that by applying Watson -- an innovation in computing technology -- it will enhance patient care and potentially generate savings for both the hospital and the NHS (National Health Service) as a whole. Using Watson to analyse any feedback that is voluntarily and securely provided by the patients, with appropriate consent as needed, it is anticipated that Alder Hey will be able to greatly enhance patient experience by; identifying patient anxieties and providing information and reassurance on-demand; reminding young patients and their parents about appointments and about aftercare; and providing insightful feedback to clinicians based on the tone and sentiment of these interactions.

Conversations about basic income, a government-funded salary given to every citizen, used to take place in the dingy offices of extremist left-wing politicians, or in the campus dorm rooms of idealistic students determined to fix the problems of the previous generation. The conversation was about social responsibility. It wasn't an economic case, it was a moral one. A sharp uptake in technology designed to automate jobs and replace human workers is bringing new voices to this old debate. Today's society could be disastrously affected by artificial intelligence and growing automation, and scientists and technologists are looking for ways to stop that damage before it happens.

Virtual assistants are coming of age. Viv, a new virtual assistant with advanced natural language processing skills that allow her to understand complex commands, is set to disrupt the customer experience. What does it mean for the enterprise? In this week's Searchlight, Site Editor Fran Sales details the new AI-powered assistant and explores the potential impact it will have on businesses and IT departments. Having a clear-cut IT strategy is key establishing a competitive advantage over any competition.

There are a lot of major problems today with tangible, real-world consequences. A short list might include terrorism, U.S.-Russian relations, climate change and biodiversity loss, income inequality, health care, childhood poverty, and the homegrown threat of authoritarian populism, most notably associated with the presumptive nominee for the Republican Party, Donald Trump. Yet if you've been paying attention to the news for the past several years, you've almost certainly seen articles from a wide range of news outlets about the looming danger of artificial general intelligence, or "AGI." For example, Stephen Hawking has repeatedly expressed that "the development of full artificial intelligence could spell the end of the human race," and Elon Musk -- of Tesla and SpaceX fame -- has described the creation of superintelligence as "summoning the demon." Furthermore, the Oxford philosopher and director of the Future of Humanity Institute, Nick Bostrom, published a New York Times best-selling book in 2014 called Superintelligence, in which he suggests that the "default outcome" of building a superintelligent machine will be "doom." Should we really be worried about a takeover by killer computers hell-bent on the total destruction of Homo sapiens?

Regardless of the analysis of smartphone market share, Office and cloud revenues, quarterly profits, gaming consoles sales, Surface hardware, or search engine relevance, Microsoft remains a large company employing diversified and talented individuals. Often, the individuals under Microsoft's employ do double duty as the brilliant minds creating projects and industries for the company while also pioneering advancements, groundbreaking achievements, and technologies in fields outside of their immediate obligations. Recently, Yuval Peres and Robert Schapire joined the long list of Microsoft employees and researchers who have been recognized by their peers for their achievements in their respective fields. Peres and Schapire's are receiving perhaps the highest honor in science and research by being elected to the Nation Academy of Sciences. Peres and Schapire's recognition will see them become part of new 84 members and 21 foreign associate groups that will be joining the National Academy this year.

An unclassified 2016 Department of Defense (DoD) document, the Human Systems Roadmap Review, reveals that the US military plans to create artificially intelligent (AI) autonomous weapon systems, which will use predictive social media analytics to make decisions on lethal force with minimal human involvement. Despite official insistence that humans will retain a "meaningful" degree of control over autonomous weapon systems, this and other Pentagon documents dated from 2015 to 2016 confirm that US military planners are already developing technologies designed to enable swarms of "self-aware" interconnected robots to design and execute kill operations against robot-selected targets. More alarmingly, the documents show that the DoD believes that within just fifteen years, it will be feasible for mission planning, target selection and the deployment of lethal force to be delegated entirely to autonomous weapon systems in air, land and sea. The Pentagon expects AI threat assessments for these autonomous operations to be derived from massive data sets including blogs, websites, and multimedia posts on social media platforms like Twitter, Facebook and Instagram. The raft of Pentagon documentation flatly contradicts Deputy Defense Secretary Robert Work's denial that the DoD is planning to develop killer robots.

IS BIG DATA TAKING US CLOSER TO THE DEEPER QUESTIONS IN ARTIFICIAL INTELLIGENCE? What I'm worried about and what I'm thinking about these days is if we're really making progress in AI. I'm also interested in the same kind of question in neuroscience, which is that we feel like we're making progress, but are we? There's huge progress in AI, or at least huge interest in AI--a bigger interest than there's ever been in my lifetime. I've been interested in AI since I was a little kid trying to program computers to play chess, and do natural language databases, and things like that, though not very well. I've watched the field and there have been ups and downs. There were a couple of AI winters where people stopped paying attention to AI altogether. People who were doing AI stopped saying that they were in the field of AI. They say, "Yes, I do artificial intelligence," where two years ago they would have said, "I do statistics." Even though there's a lot of hype about AI and a lot of money being invested in AI, I feel like the field is headed in the wrong direction. There's been a local maximum where there's a lot of low-hanging fruit right now in a particular direction, which is mainly deep learning and big data. People are very excited about the big data and what it's giving them right now, but I'm not sure it's taking us closer to the deeper questions in artificial intelligence, like how we understand language or how we reason about the world. The big data paradigm is great in certain scenarios. One of the most impressive advances is in speech recognition. You can now dictate into your phone and it will transcribe most of what you say right most of the time. That doesn't mean it understands what you're saying. Each new update of Siri adds a new feature. First, you could ask about movie times, then sports, and so forth. The natural language understanding is coming along slowly. You wouldn't be able to dictate this conversation into Siri and expect it to come out with anything whatsoever.

IBM plans to launch a cloud-based version of Watson's cognitive computing technology, designed solely to zero in on cybersecurity language, as a part of a year-long research project, the company announced Tuesday. The Watson for Cyber Security platform is touted as the first technology to offer cognition of security data. Watson will pull the majority of its cognitive data from the X-Force research library: a threat intelligence platform with 20 years of security research, details on 8 million spam and phishing attacks and more than 100,000 documented vulnerabilities. "Even if the industry was able to fill the estimated 1.5 million open cybersecurity jobs by 2020, we'd still have a skills crisis in security," Marc van Zadelhoff, general manager of IBM Security said in a statement. "The volume and velocity of data in security is one of our greatest challenges in dealing with cybercrime."

Jordi Escale, CIO of the Government of Catalonia, says that while AI plans are at currently in their early stages - and is consulting with IBM on potential projects - there are a number of ways the technology can be used for public sector firms. "We start thinking about the impact in the services in the government like traffic control and autonomous vehicles," he says. This includes real-time facial image recognition and number plate recognition for the police. "Then there is health, supporting the doctor for knowledge by tapping all of this unstructured data," he adds.

The Washington Put up wrote earlier this week on Google's growing use of information packing containers in its searches – the inset bins on the prime of search outcomes that try and shortcut the search course of by displaying the precise factoid of curiosity on high of the standard infinite web page of hyperlinks. As customers more and more entry the net by cellular and voice, the aim of such programs is to get the person a solution comparable to "what number of ounces in a pound" or "who's the president of Estonia" as shortly as potential. Whereas serps of the psat merely returned a pile of hyperlinks for a consumer to wade via, the objective of data containers is to offer the precise response the consumer is on the lookout for by leveraging advances in pure language processing to have machines really perceive the person's query. In keeping with the Publish these factoids at the moment are displayed for nearly a 3rd of Google's 100 billion month-to-month searches, which means they're enjoying an ever-increasing position in mediating our entry to the world's data. The rise of bots throughout the communicative continuum from office instruments like Slack to social communication like Fb means machine interpretation of the world's information will more and more supplant the historic idea of the key phrase search.