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Government

EPA Plans To Get Thousands of Pollution Deaths Off the Books by Changing Its Math (nytimes.com) 308

The Environmental Protection Agency plans to change the way it calculates the health risks of air pollution, a shift that would make it easier to roll back a key climate change rule because it would result in far fewer predicted deaths from pollution, New York Times reported this week, citing five people with knowledge of the agency's plans. From the report: The E.P.A. had originally forecast that eliminating the Obama-era rule, the Clean Power Plan, and replacing it with a new measure would have resulted in an additional 1,400 premature deaths per year. The new analytical model would significantly reduce that number and would most likely be used by the Trump administration to defend further rollbacks of air pollution rules if it is formally adopted. The proposed shift is the latest example of the Trump administration downgrading the estimates of environmental harm from pollution in regulations. In this case, the proposed methodology would assume there is little or no health benefit to making the air any cleaner than what the law requires. Many experts said that approach was not scientifically sound and that, in the real world, there are no safe levels of the fine particulate pollution associated with the burning of fossil fuels.
Math

Measurements Confirm Universe Is Expanding Faster Than Expected (sciencedaily.com) 186

Slashdot reader The Snazster shares a report from ScienceDaily, reporting on materials provided by Johns Hopkins University: New measurements from NASA's Hubble Space Telescope confirm that the Universe is expanding about 9% faster than expected based on its trajectory seen shortly after the big bang, astronomers say. The new measurements, published April 25 in the Astrophysical Journal Letters, reduce the chances that the disparity is an accident from 1 in 3,000 to only 1 in 100,000 and suggest that new physics may be needed to better understand the cosmos.

In this study, [Adam Riess, Bloomberg Distinguished Professor of Physics and Astronomy at The Johns Hopkins University, Nobel Laureate and the project's leader] and his SH0ES (Supernovae, H0, for the Equation of State) Team analyzed light from 70 stars in our neighboring galaxy, the Large Magellanic Cloud, with a new method that allowed for capturing quick images of these stars. The stars, called Cepheid variables, brighten and dim at predictable rates that are used to measure nearby intergalactic distances. The usual method for measuring the stars is incredibly time-consuming; the Hubble can only observe one star for every 90-minute orbit around Earth. Using their new method called DASH (Drift And Shift), the researchers using Hubble as a "point-and-shoot" camera to look at groups of Cepheids, thereby allowing the team to observe a dozen Cepheids in the same amount of time it would normally take to observe just one. [...] As the team's measurements have become more precise, their calculation of the Hubble constant has remained at odds with the expected value derived from observations of the early universe's expansion by the European Space Agency's Planck satellite based on conditions Planck observed 380,000 years after the Big Bang.
"This is not just two experiments disagreeing," Riess explained. "We are measuring something fundamentally different. One is a measurement of how fast the universe is expanding today, as we see it. The other is a prediction based on the physics of the early universe and on measurements of how fast it ought to be expanding. If these values don't agree, there becomes a very strong likelihood that we're missing something in the cosmological model that connects the two eras."
Education

LeBron James' STEM-Based School Is Showing Promise (goodnewsnetwork.org) 102

Last year, NBA superstar LeBron James opened an experimental school that focuses on teaching a STEM curriculum to students who have a higher probability of failing academically or dropping out of school. The New York Times is now reporting that "the inaugural classes of third and fourth graders at [the I PROMISE School] posted extraordinary results in their first set of district assessments. Ninety percent met or exceeded individual growth goals in reading and math (Warning: source may be paywalled; alternative source), outpacing their peers across the district." From the report: The students' scores reflect their performance on the Measures of Academic Progress assessment, a nationally recognized test administered by NWEA, an evaluation association. In reading, where both classes had scored in the lowest, or first, percentile, third graders moved to the ninth percentile, and fourth graders to the 16th. In math, third graders jumped from the lowest percentile to the 18th, while fourth graders moved from the second percentile to the 30th.

The 90 percent of I Promise students who met their goals exceeded the 70 percent of students districtwide, and scored in the 99th growth percentile of the evaluation association's school norms, which the district said showed that students' test scores increased at a higher rate than 99 out of 100 schools nationally. The students have a long way to go to even join the middle of the pack. And time will tell whether the gains are sustainable and how they stack up against rigorous state standardized tests at the end of the year. To some extent, the excitement surrounding the students' progress illustrates a somber reality in urban education, where big hopes hinge on small victories.

Space

'BlackHoles@Home' Will Use Your PC For DIY Gravitational Wave Analysis (phys.org) 50

West Virginia University assistant professor Zachariah Etienne is launching "a global volunteer computing effort" analyzing gravitational waves from colliding black holes, reports Phys.org: "As our gravitational wave detectors become more sensitive, we're going to need to greatly expand our efforts to understand all of the information encoded in gravitational waves from colliding binary black holes," Etienne said. "We are turning to the general public to help with these efforts, which involve generating unprecedented numbers of self-consistent simulations of these extremely energetic collisions. This will truly be an inclusive effort, and we especially hope to inspire the next generation of scientists in this growing field of gravitational wave astrophysics."

His team -- and the scientific community in general -- needs computing capacity to run the simulations required to cover all possibilities related to the properties and other information contained in gravitational waves. "Each desktop computer will be able to perform a single simulation of colliding black holes," said Etienne. By seeking public involvement through use of vast numbers of personal desktop computers, Etienne and others hope to dramatically increase the throughput of the theoretical gravitational wave predictions needed to extract information from observations of the collisions.

Etienne and his team are building a website with downloadable software based on the same Berkeley Open Infrastructure for Network Computing, or BOINC, system used for the SETI@Home project and other scientific applications. The free middleware system is designed to help harness the processing power of thousands of personal computers across the globe. The West Virginia team has named their project BlackHoles@Home and expects to have it up and running later this year.

They have already established a website where the public can begin learning more about the effort.

Social Networks

'Hyperscans' Show How Brains Sync As People Interact (scientificamerican.com) 38

"A growing cadre of neuroscientists is using sophisticated technology -- and some very complicated math -- to capture what happens in one brain, two brains, or even 12 or 15 at a time when their owners are engaged in eye contact, storytelling, joint attention focused on a topic or object, or any other activity that requires social give and take," reports Scientific American. "Although the field of interactive social neuroscience is in its infancy, the hope remains that identifying the neural underpinnings of real social exchange will change our basic understanding of communication and ultimately improve education or inform treatment of the many psychiatric disorders that involve social impairments." Here's an excerpt from the report: [T]he first study to successfully monitor two brains at the same time took place nearly 20 years ago. Physicist Read Montague, now at Virginia Tech, and his colleagues put two people in separate functional magnetic resonance imaging (fMRI) machines and observed their brain activity as they engaged in a simple competitive game in which one player (the sender) transmitted a signal about whether he or she had just seen the color red or green and the other player (the receiver) had to decide if the sender was telling the truth or lying. Correct guesses resulted in rewards. Montague called the technique hyperscanning, and his work proved it was possible to observe two brains at once.

Initially, Montague's lead was followed mostly by other neuroeconomists rather than social neuroscientists. But the term hyperscanning is now applied to any brain imaging research that involves more than one person. Today the techniques that fit the bill include electroencephalography (EEG), magnetoencephalography and functional near-infrared spectroscopy. Use of these varied techniques, many of them quite new, has broadened the range of possible experiments and made hyperscanning less cumbersome and, as a consequence, much more popular.
The report also mentions a study from earlier this year that "used hyperscanning to show that eye contact prepares the social brain to empathize by activating the same areas of each person's brain simultaneously: the cerebellum, which helps predict the sensory consequences of actions, and the limbic mirror system, a set of brain areas that become active both when we move any part of the body (including the eyes) and when we observe someone else's movements."
Math

Old-School Slashdotter Discovers and Solves Longstanding Flaw In Basic Calculus (mindmatters.ai) 222

Longtime Slashdot reader johnnyb (Jonathan Bartlett) shares the findings of a new study he, along with co-author Asatur Zh. Khurshudyan, published this week in the journal DCDIS-A: Recently a longstanding flaw in elementary calculus was found and corrected. The "second derivative" has a notation that has confused many students. It turns out that part of the confusion is because the notation is wrong. Note -- I am the subject of the article. Mind Matters provides the technical details: "[T]he second derivative of y with respect to x has traditionally had the notation 'd2 y/dx 2.' While this notation is expressed as a fraction, the problem is that it doesn't actually work as a fraction. The problem is well-known but it has been generally assumed that there is no way to express the second derivative in fraction form. It has been thought that differentials (the fundamental 'dy' and 'dx' that calculus works with) were not actual values and therefore they aren't actually in ratio with each other. Because of these underlying assumptions, the fact that you could not treat the second derivative as a fraction was not thought to be an anomaly. However, it turns out that, with minor modifications to the notation, the terms of the second derivative (and higher derivatives) can indeed be manipulated as an algebraic fraction. The revised notation for the second derivative is '(d 2 y/dx 2) - (dy/dx)(d 2 x/dx 2).'"

The report adds that while mathematicians haven't been getting wrong answers, "correcting the notation enables mathematicians to work with fewer special-case formulas and also to develop a more intuitive understanding of the nature of differentials."
AMD

Could AMD's Upcoming EPYC 'Rome' Server Processors Feature Up To 162 PCIe Lanes? (tomshardware.com) 107

jwhyche (Slashdot reader #6,192) tipped us off to some interesting speculation about AMD's upcoming Zen 2-based EPYC Rome server processors. "The new Epyc processor would be Gen 4 PCIe where Intel is still using Gen 3. Gen 4 PCIe features twice the bandwidth of the older Gen 3 specification."

And now Tom's Hardware reports: While AMD has said that a single EPYC Rome processor could deliver up to 128 PCIe lanes, the company hasn't stated how many lanes two processors could deliver in a dual-socket server. According to ServeTheHome.com, there's a distinct possibility EPYC could feature up to 162 PCIe 4.0 lanes in a dual-socket configuration, which is 82 more lanes than Intel's dual-socket Cascade Lake Xeon servers. That even beats Intel's latest 56-core 112-thread Platinum 9200-series processors, which expose 80 PCIe lanes per dual-socket server.

Patrick Kennedy at ServeTheHome, a publication focused on high-performance computing, and RetiredEngineer on Twitter have both concluded that two Rome CPUs could support 160 PCIe 4.0 lanes. Kennedy even expects there will be an additional PCIe lane per CPU (meaning 129 in a single socket), bringing the total number of lanes in a dual-socket server up to 162, but with the caveat that this additional lane per socket could only be used for the baseboard management controller (or BMC), a vital component of server motherboards... If @RetiredEngineer and ServeTheHome did their math correctly, then Intel has even more serious competition than AMD has let on.

Music

The Swedish DJ Who Invented Industrially-Manufactured Pop Music (bbc.com) 110

"BBC Culture reports on DJ Denniz Pop (born Dagge Volle), who couldn't sing, play an instrument, or write a song but could mathematically craft a song from stitching together electronically programmed sounds and beats," writes Slashdot reader dryriver. "Pop was the musical brains behind acts ranging from the Backstreet Boys, *NSYNC, Ace Of Base to Britney Spears, and trained Max Martin who wrote 22 Billbooard #1 hits for the likes of Taylor Swift, The Weeknd, Katy Perry, P!nk, Justin Timberlake, Ariana Grande and Maroon 5 using a technique called 'Melodic Math.'" From the report: In a basement in Stockholm's suburbs, Pop brought together an elite team of eight songwriters and producers for a new venture -- Cheiron Studios -- in 1992. Over the next eight years they would go on to sell hundreds of millions of records through the likes of Ace of Base, 5ive, Robyn, Boyzone, Backstreet Boys, Westlife, *NSYNC and Britney Spears. The secret of their songwriting success was to marry the melody to the beat, not work against it, and to have a big chorus. The team at Cheiron followed Pop's example, experimenting in clubs across the capital with up to a hundred different versions of each new track -- meticulously documenting the combinations of beats and melodies that made the club crowds go wild. Through these experiments, an entirely new genre of music blossomed, one that seemed tailor-made for the age of manufactured boybands and girl groups. Having grown up in socialist Sweden, Pop's approach to writing music was almost utilitarian. Like so many Swedish success stories -- IKEA, H&M, Volvo and Spotify -- the Cheiron team wanted their product to appeal to the maximum amount of people, which in a country with a population of only nine million meant focusing outside the nation's borders. Pop designed his music to reflect the lives of the people who bought more music than anyone else -- American teenagers -- at least as far as he understood them from his basement in faraway Stockholm.
Social Networks

Linus Torvalds on Social Media: 'It's a Disease. It Seems To Encourage Bad Behavior.' (linuxjournal.com) 305

From a wide-ranging interview of Linus Torvalds with Linux Journal on the magazine's 25th anniversary: Linux Journal: If you had to fix one thing about the networked world, what would it be?
Linus: Nothing technical. But, I absolutely detest modern "social media" -- Twitter, Facebook, Instagram. It's a disease. It seems to encourage bad behavior. I think part of it is something that email shares too, and that I've said before: "On the internet, nobody can hear you being subtle". When you're not talking to somebody face to face, and you miss all the normal social cues, it's easy to miss humor and sarcasm, but it's also very easy to overlook the reaction of the recipient, so you get things like flame wars, etc., that might not happen as easily with face-to-face interaction. But email still works. You still have to put in the effort to write it, and there's generally some actual content (technical or otherwise). The whole "liking" and "sharing" model is just garbage. There is no effort and no quality control. In fact, it's all geared to the reverse of quality control, with lowest common denominator targets, and click-bait, and things designed to generate an emotional response, often one of moral outrage.

Add in anonymity, and it's just disgusting. When you don't even put your real name on your garbage (or the garbage you share or like), it really doesn't help. I'm actually one of those people who thinks that anonymity is overrated. Some people confuse privacy and anonymity and think they go hand in hand, and that protecting privacy means that you need to protect anonymity. I think that's wrong. Anonymity is important if you're a whistle-blower, but if you cannot prove your identity, your crazy rant on some social-media platform shouldn't be visible, and you shouldn't be able to share it or like it.

Linux Journal: Is there any advice you'd like to give to young programmers/computer science students?
Linus: I'm actually the worst person to ask. I knew I was interested in math and computers since an early age, and I was largely self-taught until university. And everything I did was fairly self-driven. So I don't understand the problems people face when they say "what should I do?" It's not where I came from at all.

Math

Windows 10 Calculator Will Soon Be Able To Graph Math Equations (zdnet.com) 130

Earlier this month, Microsoft made the source code for its Windows calculator available on GitHub. This has spurred developers to add new features to the app, like a new graphing mode that will make its way to the official Windows Calculator app. The "Graphing Mode" is one of 30+ suggestions that open-source contributors have proposed so far. The ZDNet reports: As its name implies, Graphing Mode will allow users to create graphs based on mathematical equations, in a similar way to Matlab's (way more advanced) Plotting Mode. The feature was proposed by Microsoft engineer Dave Grochocki, also a member of the Windows Calculator team. In a GitHub issue Grochocki submitted to support his proposal, he argued that a graphing mode would help students learn algebra easier.

"High school algebra is the gateway to mathematics and all other disciplines of STEM," Grochocki said. "However, algebra is the single most failed course in high school, as well as the most failed course in community college." By adding a Graphing Mode to Windows Calculator, an app included with all Windows 10 versions, the Microsoft engineer hopes to provide students and teachers with a free tool to help schools across the world.
"Physical graphing calculators can be expensive, software solutions require licenses and configuration by school IT departments, and online solutions are not always an option," he added. "Graphing capabilities in their daily tools are essential for students who are beginning to explore linear algebra as early as 8th grade. [...] At present, Windows Calculator does not currently have the needed functionality to meet the demands of students."

There's no timeline for when the new graphing mode will arrive, but it should arrive soon.
Programming

Coders' Primal Urge To Kill Inefficiency -- Everywhere (wired.com) 181

For software engineers, lack of friction is an aesthetic joy, an emotional high, the ideal existential state. It's what drives them, and what shapes our world. An excerpt from an upcoming book on coding, via Wired: The thrust of Silicon Valley is always to take human activity and shift it into metabolic overdrive. And maybe you've wondered, why the heck is that? Why do techies insist that things should be sped up, torqued, optimized? There's one obvious reason, of course: They do it because of the dictates of the market. Capitalism handsomely rewards anyone who can improve a process and squeeze some margin out. But with software, there's something else going on too. For coders, efficiency is more than just a tool for business. It's an existential state, an emotional driver.

Coders might have different backgrounds and political opinions, but nearly every one I've ever met found deep, almost soulful pleasure in taking something inefficient -- even just a little bit slow -- and tightening it up a notch. Removing the friction from a system is an aesthetic joy; coders' eyes blaze when they talk about making something run faster or how they eliminated some bothersome human effort from a process. This passion for efficiency isn't unique to software developers. Engineers and inventors have long been motivated by it. During the early years of industrialization, engineers elevated the automation of everyday tasks to a moral good. The engineer was humanity's "redeemer from despairing drudgery and burdensome labor," as Charles Hermany, an engineer himself, wrote in 1904.

[...] Many of today's programmers have their efficiency "aha" moment in their teenage years, when they discover that life is full of blindingly dull repetitive tasks and that computers are really good at doing them. (Math homework, with its dull litany of exercises, was one thing that inspired a number of coders I've talked to.) Larry Wall, who created the Perl programming language, and several coauthors wrote that one of the key virtues of a programmer is "laziness" -- of the variety where your unwillingness to perform rote actions inspires you to do the work to automate them.

Math

Is Statistical Significance Significant? (npr.org) 184

More than 850 scientists and statisticians told the authors of a Nature commentary that they are endorsing an idea to ban "statistical significance." Critics say that declaring a result to be statistically significant or not essentially forces complicated questions to be answered as true or false. "The world is much more uncertain than that," says Nicoole Lazar, a professor of statistics at the University of Georgia. An entire issue of the journal The American Statistician is devoted to this question, with 43 articles and a 17,500-word editorial that Lazar co-authored.

"In the early 20th century, the father of statistics, R.A. Fisher, developed a test of significance," reports NPR. "It involves a variable called the p-value, that he intended to be a guide for judging results. Over the years, scientists have warped that idea beyond all recognition, creating an arbitrary threshold for the p-value, typically 0.05, and they use that to declare whether a scientific result is significant or not. Slashdot reader apoc.famine writes: In a nutshell, what the statisticians are recommending is that we embrace uncertainty, quantify it, and discuss it, rather than set arbitrary measures for when studies are worth publishing. This way research which appears interesting but which doesn't hit that magical p == 0.05 can be published and discussed, and scientists won't feel pressured to p-hack.
Transportation

Toyota Is Losing the Electric Car Race, So It Pretends Hybrids Are Better 434

Ben Jervey from DeSmogBlog writes about how Toyota is "using questionable logic" to claim hybrid vehicles are superior than electric vehicles, when in reality it's only saying that because it decided years ago to invest in gasoline-electric hybrids and fuel cells in the long term instead of battery production. This decision is now coming back to haunt them. From the report: There are at least 12 car companies currently selling an all-electric vehicle in the United States, and Toyota isn't one of them. Despite admitting recently that the Tesla Model 3 alone is responsible for half of Toyota's customer defections in North America -- as Prius drivers transition to all-electric -- the company has been an outspoken laggard in the race to electrification. Now, the company is using questionable logic to attempt to justify its inaction on electrification, claiming that its limited battery capacity better serves the planet by producing gasoline-electric hybrids. For years, Toyota leadership has shunned investment in all-electric cars, laying out a more conservative strategy to "electrify" its fleet -- essentially doubling down on hybrids and plug-in hybrids -- as a bridge to a future generation of hydrogen fuel cell vehicles. As Tesla, Nissan, and GM have led the technological shift to fully battery electric vehicles, Toyota has publicly bashed the prospects of all-electric fleets. (See, for instance, the swipe the company took at plug-in vehicles in this recent Toyota Corolla Hybrid commercial.)

Last week, at the Geneva Auto Show, a Toyota executive provided a curious explanation for the company's refusal to launch a single battery electric vehicle. As Car and Driver reported, Toyota claims that it is limited by battery production capacity and that "Toyota is able to produce enough batteries for 28,000 electric vehicles each year -- or for 1.5 million hybrid cars." In other words, because Toyota has neglected to invest in battery production, it can only produce enough batteries for a trivial number of all-electric vehicles. Due to this self-inflicted capacity shortage, the company is forced to choose between manufacturing 1.5 million hybrids or 28,000 electric cars. Using what Car and Driver called "fuzzy math," the company tried to justify the strategy to forgo electric vehicles (EVs) on environmental grounds. As Toyota explained it, "selling 1.5 million hybrid cars reduces carbon emissions by a third more than selling 28,000 EVs."
As for the "fuzzy math," Toyota's calculation "seems to assume that for every hybrid sold, a fully gasoline-powered car would be taken off the road," writes Jervey. "In reality, many Toyota hybrid buyers are replacing a Toyota hybrid. And, based on Toyota's own revelation that they are losing Prius drivers to Tesla, it stands to reason that many Toyota hybrid drivers would jump at the opportunity to transition to an all-electric Toyota."
Math

Kids Have 'Math Anxiety' Thanks To Parents and Teachers, Report Finds (vice.com) 228

A new report out of the University of Cambridge studied the experiences of a total of 2,700 primary and secondary students in the UK and Italy and found that primary and secondary school girls had higher levels of both math anxiety and general anxiety than boys. "The study also focuses on how parents and teachers shape math performance and attitudes, perhaps without even realizing it," adds Motherboard. "In the same way that anxious parents can shape their children's anxiety, math-anxious mentors can shape how kids view their own math anxiety." From the report: The new study builds on previous research by highlighting the importance of teachers and parents' own math anxieties impacting students. Most students that the researchers talked to said that their anxiousness started when the math topics became more challenging, and they felt like they couldn't do them. Another reason the students' said they were struggling was because multiple teachers were teaching them math, and it became confusing across teaching styles. "Importantly -- and surprisingly -- this new research suggests that the majority of students experiencing maths anxiety have normal to high maths ability," Josh Hillman, Director of Education at the Nuffield Foundation, said in a press release.

Several of the excerpts of the interviews conducted by researchers with math-anxious kids are heartbreaking: Many described feelings that they knew the answers but panicked, or tried to battle through initial confusion. One child, around 9 or 10 years old, said: "Once, I think it was the first day and he picked on me, and I just kind of burst into tears because everybody was staring at me and I didn't know the answer. Well I probably knew it but I hadn't thought it through." Another described doing a fractions test: "It means like enormously [nervous], and enormously means like massively... I felt very unwell and I was really scared and because my table's in the corner, I kind of just like tried to not be in the lesson."

Math

Musician Creates a Million-Hour Song Based On the Number Pi (vice.com) 65

An anonymous reader quotes a report from Motherboard: Now, for Pi Day (March 14), music software programmer Canton Becker has crafted a million-hour song based on Pi that unfolds generatively on a virtual tape deck. Titled "Shepard's Pi," the song combines two of Becker's favorite infinities: Pi, and an auditory illusion called a Shepard tone, which he describes as an "unsettling sonic illusion of a pitch that climbs or descends forever, never reaching a top or a bottom." Found at PiSongs.com, users can tune into "Shepard's Pi" in real time with a custom virtual tape deck. The track itself evolves moment to moment, but the synthesized and sampled tones will be familiar to anyone who has ever listened to the electronic music of Kraftwerk, Tangerine Dream, Aphex Twin, and Global Communication. Far from being a mere gimmick, it is a highly evocative and transporting piece of electronic music, alternately ambient, glitchy, and interestingly rhythmic. The 58,999 GB MP3 file needed to be distributed via a webpage or app, so Becker "started hacking away at the basic algorithm in the programming languages PHP and Javascript," reports Motherboard. "In between coding marathons, Becker composed and recorded the loops and samples that would form the basis of the song. He experimented with sounds that would work well together regardless of being stacked one upon the other."

"When users hit 'play' on the virtual tape deck, the algorithm actually 'performs' the piece," the report says. "This way, the 114-year song can fit in just one gigabyte of space, which is mostly comprised of the digits of Pi. The virtual tape deck was also a solution to a built-in quirk of browsers such as Chrome, Safari, and Firefox -- users must click on a webpage to trigger a sound." From start to finish, the song lasts 999,999 hours, "a limitation imposed by only considering the first one billion digits of Pi."
Math

Google Smashes the World Record For Calculating Digits of Pi (wired.co.uk) 132

Pi just got bigger. Google's Compute Engine has calculated the most digits of pi ever, setting a new world record. From a report: Emma Haruka Iwao, who works in high performance computing and programming language communities at Google, used infrastructure powered by Google Cloud to calculate 31.4 trillion digits of pi. The previous world record was set by Peter Trueb in 2016, who calculated the digits of pi to 22.4 trillion digits. This is the first time that a publicly available cloud software has been used for a pi calculation of this magnitude.

Iwao became fascinated by pi when she learned about it in math class at school. At university, one of her professors, Daisuke Takahashi, was the record holder for the most-calculated digits of pi using a supercomputer. Now, y-cruncher is the software of choice for pi enthusiasts. Created in 2009, y-cruncher is designed to compute mathematical constants like pi to trillions of digits. "You need a pretty big computer to break the world record," says Iwao. "But you can't just do this with a computer from a hardware store, so people have previously built custom machines." In September of 2018, Iwao started to consider how the process of calculating even more digits of pi would work technically. Something which came up quickly was the amount of data that would be necessary to carry out the calculations, and store them -- 170 terabytes of data, which wouldn't be easily hosted by a piece of hardware. Rather than building a whole new machine Iwao used Google Cloud.

Iwao used 25 virtual machines to carry out those calculations. "But instead of clicking that virtual machine button 25 times, I automated it," she explains. "You can do it in a couple of minutes, but if you needed that many computers, it could take days just to get the next ones set up." Iwao ran y-cruncher on those 25 virtual machines, continuously, for 121 days.

The Internet

CSS To Get Support For Trigonometry Functions (zdnet.com) 135

CSS, or the language that styles and arranges how page elements appear on a website, will soon get support for trigonometry functions such as sine, cosine, tangent, and others, ZDNet is reporting. From the report: The new trigonometry functions were approved at the end of February in a meeting of the World Wide Web Consortium (W3C) CSS Working Group. The new functions approved and set to join the CSS standard are: Sine - sin(), cosine - cos(), tangent - tan(), arccosine - acos(), arcsine - asin(), arctangent - atan(), arctangent (of two numbers x and y) - atan2(), square root - sqrt(), square root of the sum of squares of its arguments - hypot(), and power of - pow().
Government

Ajit Pai's Rosy Broadband Deployment Claim May Be Based On Gigantic Error (arstechnica.com) 121

An anonymous reader quotes a report from Ars Technica: Pai's claim was questionable from the beginning, as we detailed last month. The Federal Communications Commission data cited by Chairman Pai merely showed that deployment continued at about the same rate seen during the Obama administration. Despite that, Pai claimed that new broadband deployed in 2017 was made possible by the FCC "removing barriers to infrastructure investment." But even the modest gains cited by Pai rely partly on the implausible claims of one ISP that apparently submitted false broadband coverage data to the FCC, advocacy group Free Press told the FCC in a filing this week.

The FCC data is based on Form 477 filings made by ISPs from around the country. A new Form 477 filer called Barrier Communications Corporation, doing business as BarrierFree, suddenly "claimed deployment of fiber-to-the-home and fixed wireless services (each at downstream/upstream speeds of 940mbps/880mbps) to census blocks containing nearly 62 million persons," Free Press Research Director Derek Turner wrote. "This claimed level of deployment stood out to us for numerous reasons, including the impossibility of a new entrant going from serving zero census blocks as of June 30, 2017, to serving nearly 1.5 million blocks containing nearly 20 percent of the U.S. population in just six months time," Turner wrote. "We further examined the underlying Form 477 data and discovered that BarrierFree appears to have simply submitted as its coverage area a list of every single census block in each of eight states in which it claimed service: CT, DC, MD, NJ, NY, PA, RI, and VA." In reality, BarrierFree's website doesn't market any fiber-to-the-home service, and it advertises wireless home Internet speeds of up to just 25mbps, Free Press noted.
BarrierFree appears to have ignored the FCC's instructions to report service only in census blocks in which an ISP currently offers service and instead simply "listed every single census block located in eight of the states in which it's registered as a CLEC [competitive local exchange carrier]."

As a result of BarrierFree's claimed level of deployment, it skewed the FCC's overall data significantly. "Pai claimed that the number of Americans lacking access to fixed broadband with speeds of at least 25Mbps down and 3Mbps up 'has dropped by over 25 percent, from 26.1 million Americans at the end of 2016 to 19.4 million at the end of 2017,'" reports Ars. "With BarrierFree's erroneous filing removed, 'the number of Americans lacking access to a fixed broadband connection at the 25Mbps/3Mbps threshold declined to 21.3 million, not 19.4 million,' Free Press wrote."
Government

Academics Confirm Major Predictive Policing Algorithm Is Fundamentally Flawed (vice.com) 145

An anonymous reader quotes a report from Motherboard: Last week, Motherboard published an investigation which revealed that law enforcement agencies around the country are using PredPol -- a predictive policing software that once cited the controversial, unproven "broken windows" policing theory as a part of its best practices. Our report showed that local police in Kansas, Washington, South Carolina, California, Georgia, Utah, and Michigan are using or have used the software. In a 2014 presentation to police departments obtained by Motherboard, the company says that the software is "based on nearly seven years of detailed academic research into the causes of crime pattern formation the mathematics looks complicated -- and it is complicated for normal mortal humans -- but the behaviors upon which the math is based are very understandable."

The company says those behaviors are "repeat victimization" of an address, "near-repeat victimization" (the proximity of other addresses to previously reported crimes), and "local search" (criminals are likely to commit crimes near their homes or near other crimes they've committed, PredPol says.) But academics Motherboard spoke to say that the mathematical theory that is used to power PredPol is flawed, and that its algorithm -- at least as pitched to police -- is far too simplistic to actually predict crime. Kristian Lum, who co-wrote a 2016 paper that tested the algorithmic mechanisms of PredPol with real crime data, told Motherboard in a phone call that although PredPol is powered by complicated-looking mathematical formulas, its actual function can be summarized as a moving average -- or an average of subsets within a data set.
"The academic foundation for PredPol's software takes a statistical modeling method used to predict earthquakes and apply it to crime," reports Motherboard. "Much like how earthquakes are likely to appear in similar places, the papers argue, crimes are also likely to occur in similar places. Suresh Venkatasubramanian, a professor of computing at the University of Utah and a member of the board of directors for ACLU Utah, told Motherboard that earthquake data and crime data are, naturally, collected in different ways."

"I would say in our mind, the key difference is that in earthquake models, you have seismographs everywhere -- wherever an earthquake happens, you'll find it," Venkatasubramanian said. "The crux of the issue really is that to what extent are you able to get data about what you're observing that is not also totally on the model itself." "If you build predictive policing, you are essentially sending police to certain neighborhoods based on what what they told you -- but that also means you're not sending police to other neighborhoods because the system didn't tell you to go there," Venkatasubramanian said. "If you assume that the data collection for your system is generated by police whom you sent to certain neighborhoods, then essentially your model is controlling the next round of data you get."
Communications

Your GPS Devices May Stop Working On April 6 If You Don't Or Can't Update Firmware (theregister.co.uk) 149

Zorro shares a report from The Register: Older satnavs and such devices won't be able to use America's Global Positioning System properly after April 6 unless they've been suitably updated or designed to handle a looming epoch rollover. GPS signals from satellites include a timestamp, needed in part to calculate one's location, that stores the week number using ten binary bits. That means the week number can have 210 or 1,024 integer values, counting from zero to 1,023 in this case. Every 1,024 weeks, or roughly every 20 years, the counter rolls over from 1,023 to zero. The first Saturday in April will mark the end of the 1,024th week, after which the counter will spill over from 1,023 to zero. The last time the week number overflowed like this was in 1999, nearly two decades on from the first epoch in January 1980. You can see where this is going. If devices in use today are not designed or patched to handle this latest rollover, they will revert to an earlier year after that 1,024th week in April, causing attempts to calculate position to potentially fail. System and navigation data could even be corrupted, we're warned. U.S. Homeland Security explained the issue in a write-up this week. GPS.gov also notes that the new CNAV and MNAV message formats will use a 13-bit week number, so this issue shouldn't happen again anytime soon. The site recommend users consult the manufacturer of their equipment to make sure they have the proper updates in place.

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