WIRED Health 2016 takes place on 29 April in London. IBM's Watson supercomputer is perhaps best known for winning the gameshow Jeopardy, but its expertise is now being applied to healthcare Kyu Rhee will be speaking at WIRED Health 2016 on 29 April in London. From helping humans live longer to understanding the brain, WIRED Health will hear from the innovators transforming this critical sector. You might know IBM's Watson best for its victory on US game show Jeopardy!, or perhaps for its cookery prowess, or even the campaign to elect it to the US presidency. But IBM hopes that its supercomputer can also change the way doctors diagnose their patients, putting vast quantities of data at a physician's fingertips.

If you've seen the movie Her, or perhaps Iron Man, you'll know what the future of tech looks like. AI is coming and it's coming in a big way. It's here to make our lives easier and simpler, or at least, that's what all the big tech giants would have us believe. AI is nothing new, IBM has been experimenting with Watson for a couple of years. But powerful, enormous tech such as Watson is far removed from the lives of everyday people like you or me.

Nvidia chief executive Jen-Hsun Huang said that deep-learning artificial intelligence has become a new computing platform, and the company is dealing with hundreds of startups in the space that plan to take advantage of the platform. Speaking at the GPUTech conference in San Jose, California, Huang noted that 5 billion was invested last year in A.I. startups, and there are probably a thousand companies working on the technology for applications ranging from face recognition to self-driving cars. "Deep learning is not an industry," he said. "Deep learning is going to be in every industry. Deep learning is going to be in every application."

Video Friday is your weekly selection of awesome robotics videos, collected by your fluid-filled Automaton bloggers. We'll also be posting a weekly calendar of upcoming robotics events for the next few months; here's what we have so far (send us your events!): Let us know if you have suggestions for next week, and enjoy today's videos. MIT has developed a 3D printer that can mix solids and liquids. With "printable hydraulics," an inkjet printer deposits individual droplets of material that are each 20 to 30 microns in diameter, or less than half the width of a human hair.

A senior Egyptian al-Qaida figure fighting in Syria was killed in a U.S. drone strike this week, the latest to be killed in such attacks in Syria, a Syrian opposition monitoring group and relatives said Friday. The Britain-based Syrian Observatory for Human Rights said Rifai Ahmad Taha was killed in a strike Tuesday in the northwestern Idlib province. Before joining al-Qaida, Taha was a top figure in Egypt's notorious militant group Gamaa Islamiya, which massacred 58 foreign tourists in the ancient Egyptian city of Luxor in 1997. He was also allied with Osama bin Laden in Afghanistan. The Observatory's chief Rami Abdurrahman said several al-Qaida members, including Taha, were killed in Tuesday's strike.

Friday, May 6, 2016 Registration and breakfast begin at 9 a.m. Upon arrival, be prepared to show a picture ID and sign the Building Visitor Log when approaching the Lobby Floor Security Desk. Alert them to the name of the event you are attending and ask them to direct you to the appropriate floor. The talks will be held the First Floor Conference Center, Horace Mann Conference Room. Hospitality Notice for University and Government Employees: Microsoft Research is providing hospitality at this event.

Synopsis: There is more to Text Mining than TDM and TF-IDF. Come explore the world of Sentiment Analysis using Advanced Text Mining techniques with cutting edge tools like Stanford's CoreNLP and analysing it's output using Python. Speaker: Aditya Shankar is a Lecturer in the Intelligent Systems practice at the Institute of Systems Science in the National University of Singapore. He started his career consulting for Microsoft in Redmond, WA, Nike in Portland, OR and T-Mobile in Seattle, WA. He then moved on to work for companies in the Healthcare domain, mostly healthcare providers in Tennessee.

While there may be millions of developers, there simply aren't enough data scientists to go around, and most of them are committed to working for large companies with big budgets and humongous data sets. Companies like Montreal-based Fuzzy.io are filling in the talent gap by offering an API to a set of artificial intelligence (AI) services that allows web and mobile developers to easily incorporate AI-based decision-making into their projects -- ranging from recommendations, to dynamic pricing decisions, and matching users in marketplaces. "Most of the existing ML development services are built to be used by data scientists or developers who have expertise in building AI/ML systems," said Fuzzy.io co-founder Matt Fogel. "Additionally, most of these tools require the developer to bring a great deal of data in order to train custom models. The company was founded by Fogel, who was the former produce vice president at Agendize, along with serial entrepreneur and developer Evan Prodromou. The company also recently added Kevin Fox, who, when he was at Google, helped create the user interfaces for Gmail and Google Calendar. These virtual intelligent machines use an adaptive rule base to translate pre-set, intuitive and vague "business rules" into a framework that can generate precise results. It could be as vague as "new", "old", "warm" and "good," as the company explains on its blog: "A fuzzy agent accepts some input variables and maps them onto fuzzy sets -- intuitive terms from the problem domain.

CEO Marc Benioff has made no secret of the fact that Salesforce.com's (NYSE:CRM) future will include comprehensive artificial intelligence (AI) capabilities to enhance the customer experience. Benioff's commitment to AI isn't new: He and Salesforce.com president Keith Block have been raving about its analytics cloud for nearly a year now. Deep learning, or AI, is a natural fit for Saleforce.com Salesforce.com fans may recall last summer when Benioff shared the news that its new analytics cloud was the fastest-growing product introduction ever. Benioff's conference calls are known for his over the top "rah-rah" feel, but when it comes to deep learning, Salesforce.com is doing a lot more than shouting from the rooftops.

While voice-recognition-powered virtual assistants like Siri, Cortana, Google Now and Amazon's Echo continue to get more useful and reliable on the march to platform-dom, there is a parallel wave of development underway that has captured the public eye, where machine learning, artificial intelligence and natural language processing are getting corralled for more narrowly purposed means -- by way of bots. Today, a New York-based startup called X.ai -- which has developed a bot that helps you arrange meetings with other people by way of a virtual assistant ('Amy' or'Andrew') -- announced that it has raised 23 million. The Series B funding will be used to take X.ai from a closed and free beta to a commercial product, and the startup also plans to hire more data scientists and other engineers. X.ai is not releasing details of its valuation, but we understand from reliable sources that it is now around 100 million -- a decent jump on the 40 million valuation the company had when it announced its Series A of 9 million in January 2015. The funding is being led by Two Sigma Ventures, with other new investors including DCM Ventures and Work Bench Ventures.