But still more important is that the very paradigm of NKS was crucial in imagining that Wolfram|Alpha might be possible. Many specific ideas from NKS-particularly those related to algorithms discovered by exploring the computational universe-are used in the implementation of Wolfram|Alpha. With a world-class team and participation from top outside experts in countless fields, we are constantly working to create what we hope will stand as a major milestone of twenty-first century intellectual achievement.īeyond Wolfram Language, another key to Wolfram|Alpha is A New Kind of Science (NKS). We work to accept completely free-form input, and to serve as a knowledge engine that generates powerful results and presents them with maximum clarity.Įnergetically developed for more than a decade, Wolfram|Alpha is an ambitious, long-term intellectual endeavor that we intend will deliver ever-increasing capabilities over the years to come. Wolfram|Alpha brings expert-level knowledge and capabilities to the broadest possible range of people-spanning all professions and education levels. Our work builds on the achievements of science and other systematizations of knowledge to provide a single source that can be relied on by everyone for definitive answers to factual queries. It gives average salary ($34,360 in 2009) and the median wage yearly change (-$430) and presents you with graphs and charts.ĭo you use WolframAlpha as a journalist? Any tips? Share yours in the comments section below.Our mission is to collect and curate all objective data implement every known model, method and algorithm and make it possible to compute whatever can be computed about anything. WolframAlpha tells you there were 46,130 reporters and correspondents in the US in 2009 (which seems low, although Jon Slattery's blog does report a 2012 figure of 40,600 "editors and reporters" in 2012 based on stats from the American Society of News Editors). For example, ask WolframAlpha how many journalists there are in the UK and it encourages you to ask the question around "reporters and correspondents" in the US. You can also get cleverer and ask a question such as " what was the weather in Islamabad the day Osama bin Laden was killed?"Ī word of warning: as with all statistics, do cross-check. In the above example I asked WolframAlpha for the weather in Damascus, Syria. How is it of use to journalists? One of the reasons journalists turn to WolframAlpha rather than Google is to verify information.įor example, in this guide to verifying information from social media, Claire Wardle, director of development and integration at social news agency Storyful, says journalists there use WolframAlpha to ask certain questions, such as the weather in a certain place at a certain time, to verify images or video shared on social media. ![]() In a video introducing the engine, Stephen Wolfram explains that it's an "ambitious project that's just getting started", and encourages users to expect it to get better with age. ![]() It is like a search engine but where search engines "index web pages, then look for textual matches, then give you lists of links to follow", WolframAlpha uses "built-in knowledge curated by human experts".Īccording to the site, "it works by using its vast store of expert-level knowledge and algorithms to automatically answer questions, do analysis, and generate reports". What is it? WolframAlpha bills itself as "a computational knowledge engine".
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