There's an old adage that goes, necessity is the mother of invention. This is certainly true in health care where market forces are spurring new innovations in biopharma. Recently, Deloitte published an analysis of some of the boldest breakthroughs likely to impact health care across the spectrum. In the Deloitte Center for Health Solutions' Top 10 health care innovations: Achieving more for less report, we surveyed leaders across the health care system on the innovations they believe will be transformative over the next decade. We define innovation as those activities or technologies that break performance constraints to attain a desired outcome in a way that genuinely pushes the envelope of change.

Robotic weapons have become so advanced that top military experts in the US fear the plot of the sci-fi film'Terminator' could come true. Huge technological leaps forward in drones, artificial intelligence and autonomous weapon systems must be addressed before humanity is driven to extinction by mechanical overlords like in the 1984 Arnold Schwarzenegger classic, according to Pentagon chiefs. Air Force General Paul Selva, the Vice Chairman of the Joint Chiefs of Staff at the US Defense Department, said so-called thinking weapons could lead to: "Robotic systems to do lethal harm... a Terminator without a conscience." When asked about robotic weapons able to make their own decisions, he said: "Our job is to defeat the enemy" but "it is governed by law and by convention." He says the military insists on keeping humans in the decision-making process to "inflict violence on the enemy". "That ethical boundary is the one we've draw a pretty fine line on.

Professor Barry O'Sullivan, Director of Insight at UCC, became the first Irish member of the EurAI board in 2014. Professor Barry O'Sullivan, Director of Insight at UCC, has been elected as Deputy President of the European Association for Artificial Intelligence (EurAI) at its General Assembly held in The Hague. Professor O'Sullivan, who became the first Irish member of the EurAI board after being elected in 2014, said: "It's a huge honour to be the first Irish person to serve on the board of the European Association for Artificial Intelligence, so to be elected as its deputy president is a major thrill." UCC professor named deputy president of world's largest AI body https://t.co/WNjjanZlfz EurAI, formerly ECCAI, was established in July 1982 as a representative body for the European artificial intelligence community.

Artificial intelligence can do a lot of amazing things. It's even making your phone smarter 7 Siri Alternatives for Android: Google Now, Cortana, & More 7 Siri Alternatives for Android: Google Now, Cortana, & More There are a lot of personal assistant apps in the Play Store, so we help you sort through the best of them. But AI technology is making inroads into many different areas of your life, and it's doing some exciting everyday stuff too -- like helping you get through your day by making email more efficient and taking the hassle out of scheduling meetings. At the end of the day, artificial intelligence is empowering us to become more productive with some of our humdrum daily tasks. When you think about artificial intelligence, you might think about the Terminator movies or other science-fiction-born AIs, but there's a real-world (less exciting) version of AI What Artificial Intelligence Isn't What Artificial Intelligence Isn't Are intelligent, sentient robots going to take over the world?

A new installation on display until November 27 brings artificial intelligence into London's Tate Britain for the first time. The winner of Tate's IK Prize 2016 -- an annual commission by Tate in association with Microsoft that awards "digital innovation" -- the work "Recognition" was created by Italian communications research center Fabrica. It uses AI to match a constantly updating stream of news images and photojournalism from Reuters with works from the Tate's extensive collections. Currently on display in a dedicated gallery at Tate Britain and on the website recognition.tate.org.uk, the program uses an algorithm that judges images based on four criteria: object recognition, facial recognition, composition, and by analyzing accompanying text data to match images by context. Through this, Fabrica is hoping to uncover "inspiring, insightful, humorous, and thought-provoking relationships," according to a statement.

I cannot think more than 2 hours without thinking how to introduce AI techniques into what I'm thinking about. The last time it happened was super interesting and stay with me to see how I used graph theories to crawl reddit and make a knowledge base about Magic the Gathering card relations. Long story short, I was browsing magiccardmarket.eu to check which cards to buy when I found a guy selling a 9 card for 6 . The card spiked over the week-end and I jumped on reddit to check out the reason. Is there a new deck using it?

The inference of biological networks is a highly relevant and challenging task in systems biology and integrative bioinformatics. Biological networks are graphs in which nodes represent genes or proteins, and a connection between them indicates some kind of biological relationship, e.g. regulatory or functional. The network inference is, in an essence, an attempt to reverse engineer the biological relationships from the high-throughput biological data [1]. Most biological network inference methods focus on the definition of gene regulatory networks, in which edges represent direct regulatory interactions between genes [2–4]. Far less effort has been put into the design of methods to build functional networks in which a connection indicates a functional relationship, e.g.

This post tries to demonstrates how to approximate a sequence of vectors using a recurrent neural networks, in particular I will be using the LSTM architecture, The complete code used for this post could be found here. Most of the examples I found in the internet apply the LSTM architecture to natural language processing problems, and I couldn't find an example where this architecture could be used to predict continuous values. So the task here is to predict a sequence of real numbers based on previous observations. The traditional neural networks architectures can't do this, this is why recurrent neural networks were made to address this issue, as they allow to store previous information to predict future event. First of all let's build our model, lstm_model, the model is a list of stacked lstm cells of different time steps followed by a dense layers.

Above the Trend Line: machine learning industry rumor central, is a recurring feature of insideBIGDATA. In this column, we present a variety of short time-critical news items such as people movements, funding news, financial results, industry alignments, rumors and general scuttlebutt floating around the big data, data science and machine learning industries including behind-the-scenes anecdotes and curious buzz. Our intent is to provide our readers a one-stop source of late-breaking news to help keep you abreast of this fast-paced ecosystem. We're working hard on your behalf with our extensive vendor network to give you all the latest happenings. Be sure to Tweet Above the Trend Line articles using the hashtag: #abovethetrendline.

ANN ARBOR, Mich.--(BUSINESS WIRE)--The North American automation industry has set new records to begin 2016, according to the Association for Advancing Automation (A3), the industry's trade group. The advent of more automation in North American manufacturing promises increased efficiencies in production and the ability to compete globally. A3, whose mission is to advocate and promote automation technologies and ideas that transform the way business is done, tracks the robotics, machine vision and motion control markets for its three daughter associations, Robotic Industries Association (RIA), AIA - Advancing Vision Imaging, and Motion Control & Motor Association (MCMA). A3 is at its highest membership level ever, welcoming 119 new member companies year to date. A3, with its daughter organizations, now represents 965 member companies directly involved with robotics, vision, motion control and motors.