Furious blame game after 16,000 Covid cases are missed due to Excel glitch An Excel bungle that led to thousands of cases being lost in government systems masked daily cases in the UK hitting 11,000. A clearer picture of the country's outbreak has emerged after some 16,000 confirmed infections had to be added to the daily totals running back more than a week. Counted by the date specimens were collected, rather than the date the government published them, the UK had 11,404 cases on September 30, almost as many as were reported in the next two days combined. The daily number has not been below 6,000 since September 21 on the alternative measure - although the government has reported lower figures on several days in that period. The extraordinary meltdown was caused by an Excel spreadsheet containing lab results reaching its maximum size, and failing to update. Some 15,841 cases between September 25 and October 2 were not uploaded to the government dashboard.
The Pirate Book Introduction by Marie Lechner, journalist & researcher The Pirate Book by Nicolas Maigret and Maria Roszkowska is both a visual essay and anthology, written in the wake of the Jolly Roger’s infamous skull and crossbones and compiled during its journey across the four corners of the world. In this book, the authors invite us to shift our perspective on piracy itself. This polyphonic work constitutes an attempt at probing the ambiguity inherent to piracy and at re-evaluating the issues related to it. The Pirate Book, moreover, signifies a departure from the one-sided approach adopted by the cultural industries which consists in designating the figure of the pirate as public enemy number 1.
Entrepreneurs don’t have a special gene for risk—they come from families with money At first, it seems like a small thing. Reuters reports this morning that the European Union is weighing whether to start requiring visas from Canadian and US visitors to the region. This would be an incredibly shortsighted thing to do, given the lucrative tourist trade based on North Americans traveling to the continent. And it likely won’t happen. But its mere discussion—a response to the US visa requirement’s for visitors from poorer parts of the EU such as Romania, Poland, and Bulgaria—underscores the very real backlash against pro-globalization economic ideology of the last 25 years. As the Wall Street Journal recently pointed out, the key forces of globalization—rising international trade and capital flows—have stalled out.
Big data: moneymaker and force for social good? Big data and, more recently, artificial intelligence have become some of the world’s favourite boardroom buzzwords in the past three years. Every CEO feels some level of nervous excitement about the immense opportunity of big data, with the International Data Corporation predicting revenues will rocket from $122 billion last year to more than $187 billion in 2019. Forrester Research forecasts that the big data technology market will grow three times faster than the IT market overall. All this buzz about becoming data-driven has led us to make more than significant investments in big data technology, convinced that data scientists and their advanced analytics will give us answers and reshape our businesses as we know them. Algorithms of Oppression 2018 book by Safiya Umoja Noble Algorithms of Oppression: How Search Engines Reinforce Racism is a 2018 book by Safiya Umoja Noble in the fields of information science, machine learning, and human-computer interaction.[1][2][3][4] Overview[edit]
List of HTTP status codes This is a list of Hypertext Transfer Protocol (HTTP) response status codes. Status codes are issued by a server in response to a client's request made to the server. It includes codes from IETF Request for Comments (RFCs), other specifications, and some additional codes used in some common applications of the Hypertext Transfer Protocol (HTTP). The first digit of the status code specifies one of five standard classes of responses. The message phrases shown are typical, but any human-readable alternative may be provided. Unless otherwise stated, the status code is part of the HTTP/1.1 standard (RFC 7231).[1] PayPal On Barriers To Google Wallet: Mass Adoption Of NFC Is Years Away As you may have read, Google officially launched its mobile payments platform Google Wallet recently, which allows you to pay for products in the real world by tapping your NFC-enabled Android phone against a compatible card reader. Shortly following the initial announcement of the technology in May, payments giant PayPal went on the offensive, filing a lawsuit against Google and two former PayPal executives who now are in charge of mobile payments at Google. Allegations of “misappropriation of trade secrets, and “breach of fiduciary duty” were thrown out against these individuals. Clearly, it’s messy. While the lawsuit itself spoke volumes about PayPal’s view on Google Wallet, the eBay-owned company has not really commented on Google Wallet over the past few months. Until now.
New AI Can Write and Rewrite Its Own Code to Increase Its Intelligence Learning From Less Data The old adage that practice makes perfect applies to machines as well, as many of today’s artificially intelligent devices rely on repetition to learn. Deep-learning algorithms are designed to allow AI devices to glean knowledge from datasets and then apply what they’ve learned to concrete situations. For example, an AI system is fed data about how the sky is usually blue, which allows it to later recognize the sky in a series of images. Complex work can be accomplished using this method, but it certainly leaves something to be desired. Weapons of Math Destruction Weapons of Math Destruction is a 2016 American book about the societal impact of algorithms, written by Cathy O'Neil. It explores how some big data algorithms are increasingly used in ways that reinforce preexisting inequality. It was longlisted for the 2016 National Book Award for Nonfiction,[1][2][3] has been widely reviewed,[4] and won the Euler Book Prize. Overview[edit] O'Neil, a mathematician, analyses how the use of big data and algorithms in a variety of fields, including insurance, advertising, education, and policing, can lead to decisions that harm the poor, reinforce racism, and amplify inequality.
Dear Sister Parodies / "Mmm Whatcha' Say" About “Dear Sister” Parodies, sometimes referred to as “MMM Whatcha Say,” are a series of YouTube videos that overdramatize a murder scene from a TV show or film by using slow-motion effect and Imogen Heap’s 2005 folktronica pop song “Hide and Seek.” The meme was inspired by an episode of SNL Digital Short titled “The Shooting,” which in itself is a parody of the climactic scene from the season two finale of the American teen drama TV series The OC. Origin The season two finale of The OC, titled “The Dearly Beloved,” first aired on May 19th, 2005. Social network Social networks and the analysis of them is an inherently interdisciplinary academic field which emerged from social psychology, sociology, statistics, and graph theory. Georg Simmel authored early structural theories in sociology emphasizing the dynamics of triads and "web of group affiliations."[2] Jacob Moreno is credited with developing the first sociograms in the 1930s to study interpersonal relationships. These approaches were mathematically formalized in the 1950s and theories and methods of social networks became pervasive in the social and behavioral sciences by the 1980s.[1][3] Social network analysis is now one of the major paradigms in contemporary sociology, and is also employed in a number of other social and formal sciences. Together with other complex networks, it forms part of the nascent field of network science.[4][5]
The Digital Economy and Society Index (DESI) The Digital Economy and Society Index (DESI)Top Denmark, Finland, Sweden and the Netherlands have the most advanced digital economies in the EU followed by Luxembourg, Belgium, the UK and Ireland. Romania, Bulgaria, Greece and Italy have the lowest scores on the DESI. In 2016, all Member States improved on the DESI.