DavidGilbert99 writes "The inventor of the bagless vacuum cleaner believes there is an engineering crisis in the UK and that 61,000 vacancies in the area will go unfilled in 2014. To address this Dyson believes says he wants the UK government to offer monetary incentives to students with an interest and aptitude in science — as well as changing the current visa system to make it easier for foreign students to remain in the country and get work once they have completed their education in the UK."

Nerval's Lobster writes "Which football team will win the Super Bowl this weekend? That's a multi-million-dollar question, given the amount of cash people will bet on either the Seattle Seahawks or the Denver Broncos to win. Fortunately, Wolfram Alpha (the self-billed "computational knowledge engine") can analyze the historical statistics for both teams and throw out some potentially useful numbers. Developed by Stephen Wolfram and based his Wolfram Research's Mathematica analytical platform, Wolfram Alpha is an altogether different search engine from Bing or Google, which generally return pages of blue hyperlinks in response to queries. Instead of multiple results leading to still other Webpages, Wolfram Alpha usually returns set of definitive, numerical answers. (A lengthy rundown of the engine's capabilities is found on its 'About' page.) So how does Wolfram's engine, which features sophisticated algorithms chewing through trillions of pieces of data, break down the potentials for Sunday's game? Out of the 38 times the two teams have met on the field, the Broncos have triumphed 25 times (versus 12 wins for the Seahawks), scoring 98 total touchdowns to the Seahawks' 84. It's definitely advantage Broncos, in that sense. But the teams' percentages are fairly close with regard to total yardage, penalties, penalty yards, and other metrics, although the Seahawks have managed to nab more interceptions (47, versus the Broncos' 37). But while Wolfram Alpha can crunch all the historical data it wants, and that data can suggest one team will likely triumph over another, there's always the likelihood that something random—a freak injury, or a tweak to the player lineup—can change the course of the game in ways that nobody can anticipate. Also, given how player and coaching rosters vary from year to year, the teams taking the field can change radically between meetings." EA has correctly predicted eight of the last ten Super Bowl winners using the latest Madden game.

jackb_guppy writes with word that "Legislation that would let students use computer programming courses to satisfy foreign-language requirements in public schools moved forward in the Kentucky Senate on Thursday." From the article: "Kentucky students must earn 22 credits to graduate high school, but 15 of those credits represent requirements for math, science, social studies and English — and college prerequisites call on students to have two credits of foreign language, [state senator David] Givens said. Meanwhile, Givens pointed to national statistics showing that less than 2.4 percent of college students graduate with a degree in computer science despite a high demand in the market and jobs that start with $60,000 salaries."

Okian Warrior writes "In a followup to the earlier story about Princeton researchers predicting the end of Facebook by 2017, Facebook has struck back with a post using similar statistical techniques to predict that Princeton itself may be facing irreversible decline. By using similar methods ('likes', mentions in scholarly papers, Google searches) Facebook has created graphs that indicate Princeton is losing ground compared with its rivals and may have no students at all by 2021."

fiannaFailMan writes "Wired reports one mathematician's mission to find love online by data mining from OK Cupid and applying mathematical modeling to optimize his profile(s). His methods included using 'Python scripts to riffle through hundreds of OkCupid survey questions. He then sorted female daters into seven clusters, like "Diverse" and "Mindful," each with distinct characteristics.' But the real work began when he started going on dates."

An anonymous reader writes "Statistician and author Nassim Taleb has a suggestion for scientific researchers: stop trying to use standard deviations in your work. He says it's misunderstood more often than not, and also not the best tool for its purpose. Taleb thinks researchers should use mean deviation instead. 'It is all due to a historical accident: in 1893, the great Karl Pearson introduced the term "standard deviation" for what had been known as "root mean square error." The confusion started then: people thought it meant mean deviation. The idea stuck: every time a newspaper has attempted to clarify the concept of market "volatility", it defined it verbally as mean deviation yet produced the numerical measure of the (higher) standard deviation. But it is not just journalists who fall for the mistake: I recall seeing official documents from the department of commerce and the Federal Reserve partaking of the conflation, even regulators in statements on market volatility. What is worse, Goldstein and I found that a high number of data scientists (many with PhDs) also get confused in real life.'"

sciencehabit writes "Have you been missing the grim mathematical war games that strategists once used to map out possible nuclear confrontations? Don't worry, the games are back — this time applied to computer security. Researchers have now mathematically formalized the strategy of computer hacking, potentially enabling anyone — governments, activist hackers, cybermafia — to determine the optimal timing of attacks."

An anonymous reader writes "Kazakh news site BNews.kz reports that Mukhtarbay Otelbaev, Director of the Eurasian Mathematical Institute of the Eurasian National University, is claiming to have found the solution to another Millennium Prize Problems. His paper, which is called 'Existence of a strong solution of the Navier-Stokes equations' and is freely available online (PDF in Russian), may present a solution to the fundamental partial differentials equations that describe the flow of incompressible fluids for which, until now, only a subset of specific solutions have been found. So far, only one of the seven Millennium problems was solved — the Poincaré conjecture, by Grigori Perelman in 2003. If Otelbaev's solution is confirmed, not only it might be the first time that the $1 million offered by the Clay Millennium Prize will find a home (Perelman refused the prize in 2010), but also engineering libraries will soon have to update their Fluid Mechanic books."

benonemusic writes "Three computer scientists at Stony Brook University in New York believe they have found some rules through a computer program that might predict which fiction books will be successful. Their algorithm had as much as an 84 percent accuracy rate when applied to already published manuscripts in Project Gutenberg and other sources. Among their findings was that more successful books relied on verbs describing thought processes rather than actions and emotions. However, some disagree with the findings. Author Ron Hansen said style is not the key, but instead readers' interest in the topics in the book." There has been work done already on finding the formula for a hit song, and using analytics to craft a blockbuster movie.

ananyo writes "From a few fragments out of a collection of 23-century-old Chinese bamboo strips, historians have pieced together what they say is the world's oldest example of a multiplication table in base 10. Each strip is about 7 to 12 millimeters wide and half a meter long, and has a vertical line of ancient Chinese calligraphy painted on it in black ink. The bamboo pieces constitute 65 ancient texts and are thought to be among the most important artifacts from the Warring States period before the unification of China. But 21 bamboo strips contained only numbers and, on closer inspection, turned out to be a multiplication table. As in a modern multiplication table, the entries at the intersection of each row and column in the matrix provide the results of multiplying the corresponding numbers. The table can also help users to multiply any whole or half integer between 0.5 and 99.5. The researchers suspect that officials used the multiplication table to calculate surface area of land, yields of crops and the amounts of taxes owed."

An anonymous reader writes "The Foursquare blog has an interesting post about some of the math they use to evaluate and verify the massive amount of user-generated data that enters their database. They need to figure out the likelihood that any given datapoint accurately represents reality, so they've worked out a complicated formula that will minimize abuse. Quoting: 'By choosing the points based on a user's accuracy, we can intelligently accrue certainty about a proposed update and stop the voting process as soon as the math guarantees the required certainty. ... The parameters are automatically trained and can adapt to changes in the behavior of the userbase. No more long meetings debating how many points to grant to a narrow use case. So far, we've taken a very user-centric view of p-sub-k (this is the accuracy of user k). But we can go well beyond that. For example, p-sub-k could be "the accuracy of user k's vote given that they have been to the venue three times before and work nearby." These clauses can be arbitrarily complicated and estimated from a (logistic) regression of the honeypot performance. The point is that these changes will be based on data and not subjective judgments of how many "points" a user or situation should get."

jones_supa writes "GNU Octave — the open source numerical computation suite compatible with MATLAB — is doing very well. The new 3.8 release is a big change, as it brings a graphical user interface, a feature which has long been requested by users. It is peppered with OpenGL acceleration and uses the super fast FLTK toolkit for widgets. The CLI interface still remains available and GNUplot is used as a fallback in cases where OpenGL or FLTK support is not available. Other changes to Octave 3.8 are support for nested functions with scoping rules, limited support for named exceptions, new regular expressions, a TeX parser for the FLTK toolkit, overhauls to many of the m-files, function rewrites, and numerous other changes and bug fixes."

sciencehabit writes "How old is the binary number system? Perhaps far older than the invention of binary math in the West. The residents of a tiny Polynesian island may have been doing calculations in binary—a number system with only two digits—centuries before it was described by Gottfried Leibniz, the co-inventor of calculus, in 1703."

New submitter Kenseilon writes "Extremetech reports that the recent price hike of Litecoins has triggered yet another arms race for the *coinminers out there, leading to a shortage of AMD graphics cards. While Bitcoin mining is quickly becoming unfeasible for GPU rigs with general purpose graphics cards, there are several alternative currencies with opportunities. The primary candidate is now Litecoin, which has the aim of 'being silver if Bitcoin is gold' Swedish Tech site Sweclockers also reports [in Swedish] that GPU manufacturer Club3D have told them that miners are becoming a new important group of potential customers. However, concerns are being raised that this is a temporary boom that may hurt AMD in the long run, since gamers, their core consumer group, may not be able to acquire the cards and instead opt for Nvidia."

Hugh Pickens DOT Com writes "Suzanne Goldenberg writes at The Guardian that researchers at the University of Toronto's department of chemistry have identified a newly discovered greenhouse gas, perfluorotributylamine (PFTBA), in use by the electrical industry since the mid-20th century, that is 7,000 times more powerful than carbon dioxide at warming the Earth. 'We claim that PFTBA has the highest radiative efficiency of any molecule detected in the atmosphere to date,' says Angela Hong. Concentrations of PFTBA in the atmosphere are low – 0.18 parts per trillion in the Toronto area – compared to 400 parts per million for carbon dioxide but PFTBA is long-lived. There are no known processes that would destroy or remove PFTBA in the lower atmosphere so it has a very long lifetime, possibly hundreds of years, and is destroyed in the upper atmosphere. 'It is so much less than carbon dioxide, but the important thing is on a per molecule basis, it is very very effective in interacting with heat from the Earth.' PFTBA has been in use since the mid-20th century for various applications in electrical equipment, such as transistors and capacitors. 'PFTBA is just one example of an industrial chemical that is produced but there are no policies that control its production, use or emission,' says Hong. 'It is not being regulated by any type of climate policy.'"

Nerval's Lobster writes "Spotify wants to change the perception that it's killing artists' ability to make a living off music. In a new posting on its Website, the streaming-music hub suggests that songs' rights-holders earn between $0.006 and $0.0084 per stream, on average, and that a niche indie album on the service could earn an artist roughly $3,300 per month (a global hit album, on the other hand, would rack up $425,000 per month). 'We have succeeded in growing revenues for artists and labels in every country where we operate, and have now paid out over $1 billion USD in royalties to-date ($500 million of which we paid in 2013 alone),' the company wrote. 'We have proudly achieved these payouts despite having relatively few users compared to radio, iTunes or Pandora, and as we continue to grow we expect that we will generate many billions more in royalties.' But does that really counter all those artists (including Grizzly Bear and Damon Krukowski of Galaxie 500) who are on the record as saying that Spotify streaming only earns them a handful of dollars for tens of thousands of streaming plays? Let's say an artist earns $0.0084 per stream; it would still take 400,000 'plays' per month in order to reach that indie-album threshold of approximately $3,300. (At $0.006 per stream, it would take 550,000 streams to reach that baseline.) If Spotify's 'specific payment figures' with regard to albums are correct, that means its subscribers are listening to a lot of music on repeat. And granted, those calculations are rough, but even if they're relatively ballpark, they end up supporting artists' grousing that streaming music doesn't pay them nearly enough. But squeezed between labels and publishers that demand lots of money for licensing rights, and in-house expenses such as salaries and infrastructure, companies such as Spotify may have little choice but to keep the current payment model for the time being."

jones_supa writes "The latest PISA (Programme for International Assessment) results are out today. Since 2000, the OECD has attempted to evaluate the knowledge and skills of 15-year olds across the world through its PISA test. More than 510,000 students in 65 economies took part in the latest test, which covered math, reading and science, with the main focus on math — which the OECD state is a 'strong predictor of participation in post-secondary education and future success.' Asian countries outperform the rest of the world, according to the OECD, with Shanghai, Singapore, Hong Kong, Taiwan, South Korea, Macau and Japan amongst the top performing countries and economies. Students in Shanghai performed so well in math that the OECD report compares their scoring to the equivalent of nearly three years of schooling above most OECD countries. The study shows also a slight gender cap: in all countries, boys generally perform a bit better than girls, but this applies only to math." Here's a spreadsheet listing each country's results. The U.S. ranked 26th in math (below average), 17th in reading (slightly above average), and 21st in science (slightly below average).

An anonymous reader writes "Tesla received a lot of attention over the Model S fires recently, but they're not the only car company having issues with spontaneous combustion. Ford has issued a recall on almost 140,000 Ford Escapes for potential engine fires. With little media attention on the recall, Musk might have a point about the unfair treatment Tesla gets in the news."

goodminton writes "I'm research the long-term consistency and reproducibility of math results in the cloud and have questions about floating point calculations. For example, say I create a virtual OS instance on a cloud provider (doesn't matter which one) and install Mathematica to run a precise calculation. Mathematica generates the result based on the combination of software version, operating system, hypervisor, firmware and hardware that are running at that time. In the cloud, hardware, firmware and hypervisors are invisible to the users but could still impact the implementation/operation of floating point math. Say I archive the virutal instance and in 5 or 10 years I fire it up on another cloud provider and run the same calculation. What's the likelihood that the results would be the same? What can be done to adjust for this? Currently, I know people who 'archive' hardware just for the purpose of ensuring reproducibility and I'm wondering how this tranlates to the world of cloud and virtualization across multiple hardware types."

An anonymous reader writes "Working with the Raspberry Pi Foundation, effective immediately, there's a pilot release of the Wolfram Language — as well as Mathematica—that will soon be bundled as part of the standard system software for every Raspberry Pi computer. Quite soon the Wolfram Language is going to start showing up in lots of places, notably on the web and in the cloud."