The goal of genome-wide association studies (GWAS) (e.g. the WTCCC study1) is to examine the relationship between genetic markers such as single-nucleotide polymorphisms (SNPs) and individual traits, which are usually complex diseases or behavioral characteristics. Generally, a large number of statistical tests are performed in parallel, each SNP being individually tested for association2,3,4. The standard approach consists of computing individual, SNP-specific p-values corresponding to a statistical association test and comparing these p-values against some given significance threshold (say t*), meaning that precisely those SNPs with p-values smaller than t*are declared to be associated with the trait4,5,6. We refer to this approach as raw p-value thresholding (RPVT) and review some standard methods for choosing t*for the purpose of controlling multiple type I error rates (in particular, the family-wise error rate (FWER) and the expected number of false rejections (ENFR)) in the Methods Section. According to the GWAS catalog7,8 (last accessed 03-07-2015), the more than 1,400 GWAS published so far have led to the identification of more than 11,000 SNPs associated with about 800 human diseases and anthropometric traits with p-values using t* 1 10 5.

A team of researchers at MIT's Computer Science and Artificial Intelligence Lab (CSAIL) have created a deep-learning algorithm that is able to generate its own videos and predict the future of a video based on a single frame. As detailed in a paper to be presented next week at the Conference on Neural Information Processing Systems in Barcelona, the CSAIL team trained their algorithm by having it watch 2 million videos which would last for over a year if played back to back. These videos consisted of banal moments in day to day life to better accustom the machine to normal human interactions. Importantly, these videos were found "in the wild," meaning they were unlabeled and thus didn't offer the algorithm any clues as to what was happening in the video. Drawing from this video data set, the algorithm would attempt to generate videos from scratch that mimicked human motion based on what it had observed in the 2 million videos.

Keep your recruiting and business development vision clear by understanding the direction and growing impact of artificial intelligence (AI) on the economy. We talked earlier about innovations in AI that will certainly displace jobs. In October, a report from the White House took that conversation further, laying the groundwork for regulatory and industry support of rapidly coalescing advancements in AI. Developed with interagency effort, the findings follow an outreach effort by the National Science and Technology Council (NSTC), including requests for information and public workshops hosted by research and other institutions. AI is defined in several ways.

The term "data science" was first used by the statistician William H. Cleveland in his 2001 paper entitled, "Data Science: An Action Plan for Expanding the Technical Areas of t...". Cleveland emphasized that the "[results in] data science should be judged by the extent to which they enable the analyst to learn from data". The scientific discipline of learning from data has been happening for centuries before the term data science ever came into being. Statisticians have been collecting, processing, analysing, visualising and interpreting vast amounts of diverse data to generate models. In doing so, they developed many algorithms that are used for regression and classification such as GLM (Generalised Linear Modeling) and embedded in statistical packages such as SAS and SPSS that are used extensively to this day.

The House of Commons has passed a Bill that forces people to ask to be allowed to see porn and bans many sex acts from appearing in adult videos. The Digital Economy Bill received an unopposed third reading from MPs, meaning that it is on its way to becoming law. As such, it will force pornographic websites to add age verification checks that won't let people watch videos until they sign up to a special verification programme. It will also put into law new rules that will allow videos depicting unusual practices from adult websites. That clause, which provoked anger this week, bans anything from being made available online in the UK that wouldn't be allowed on a commercially available DVD.

We caught up with Stephen Boyle following the IBM Watson Health event he ran at our Digital Health and Wellbeing Festival to see how IBM Watson Health is using Cognitive Computing to change the face of healthcare. I'm also a nurse by background so I have a long clinical career. This is my thirtieth year in healthcare – which I shouldn't admit to anybody! My role really, is to start to think about how we can work with cognitive computing in healthcare to really make that difference that we're all trying to achieve. A: IBM Watson Health is part of the giant organisation that is IBM, we're the part that is looking to utilise cognitive computing in healthcare.

Written by C. Raja Mohan Updated: November 29, 2016 12:18 am Two themes of Donald Trump's deeply disruptive presidential campaign resonated with the American people. One was to put America to work again by bringing jobs back and the other was to make the US military the most powerful and feared in the world again. Both would involve dealing with new technologies like big data, artificial intelligence, robotics and bioengineering -- often described as constituting the "fourth industrial revolution". The fusion of the cyber and the physical is indeed transforming the economic and security landscape in the world. Delhi, which has had little debate on the unfolding strategic implications of the fourth industrial revolution, must now begin to pay attention.

"For most of us, the notion of artificial intelligence may conjure up visions of replicants from Ridley Scott's dazzling sci-fi thriller Blade Runner, or the more recent humanoid offerings in Ex-Machina or C4's Humans. Yet AI is no longer the province of science fiction. In many areas of life, computers are now taking decisions or undertaking tasks (such as medical diagnosis or driving cars) that we previously assumed required human judgement and intelligence. The technology has the potential to revolutionise the way we live and to shape the nature of our society. It also raises profound questions about the very essence of consciousness, our identity as humans, morality, and, yes, the Meaning of Life itself. Thankfully those broader questions are beyond the scope of this report, but we feel it is time for us to reflect on the impact that AI technology may have on the music industry – and on music itself. Recorded music is a sector whose DNA is closely entwined with technology, having ...

IBM and Teva Pharmaceutical Industries Ltd. said Wednesday they would significantly expand their existing global e-Health alliance with a focus on two key healthcare areas: the discovery of new treatment options and improving chronic disease management. Both projects will run on the IBM Watson Health Cloud, the two companies said in a statement. The IBM Watson Health Cloud is a health-data enabled platform-as-a-service which is designed to help healthcare organizations derive individualized insights and obtain a more complete picture of the many factors that can affect people's health based on machine learning. The expanded partnership underlines the increased convergence of drugs discovery and treatments with cognitive computing, which aims to improve and better target medication for patients, increase effectiveness and lower costs. The companies said the expanded cooperation envisages a new, three-year research collaboration to develop new technologies that will enable a systematic approach to help repurpose drugs and aid in the discovery of new uses for existing drugs, the joint statement said.

High street retailers could be a thing of the past by 2050 as virtual reality takes over the way we shop, experts predict. The only time we can expect to be asked "Are you being served?" is when interacting with an artificially intelligent app. The kind of department store epitomised by Grace Brothers in the 1970s sitcom of that name is likely to be consigned to history by the middle of the century. Instead people will make all their purchases from home, trying on clothes in virtual reality changing rooms and getting advice from AI (artificial intelligence) shop assistants that know exactly how to cater for their tastes. Online deliveries dropped into the back garden by flying robot drones will become a part of every day life.