An anonymous reader quotes a report from Ars Technica: Cervical cancer is 77 percent more deadly for black women and 44 percent more deadly for white women than previously thought, researchers report today in the journal Cancer. But the lethal boosts aren't from more women actually dying than before -- they're from scientists correcting their own calculation error. In the past, their estimates didn't account for women who had undergone hysterectomies -- which almost always removes the cervix, and with it the risk of getting cervical cancer. We don't include men in our calculation because they are not at risk for cervical cancer and by the same measure, we shouldn't include women who don't have a cervix," Anne F. Rositch, the study's lead author and an epidemiologist at Johns Hopkins told The New York Times. For the study, the researchers looked at national cervical cancer mortality data collected between 2000 to 2012. They also looked into national survey data on the prevalence of hysterectomies. Then, they used those figures to adjust the number of women at risk of dying of cervical cancer. The researchers found that black women have a mortality rate of 10.1 per 100,000. For white women, the rate is 4.7 per 100,000. Past estimates had those rates at 5.7 and 3.2, respectively. The new death rate for black women in the US is on par with that of developing countries. Though the new study wasn't designed to address racial disparities, experts speculate that the large difference reflects unequal access to preventative medicine and quality healthcare.

Halfway through the "Brains vs. AI" poker competition, an AI named Libratus is trouncing its human opponents, who are four of the world's top professional players. One of the pros, Jimmy Chou, said he and his colleagues initially underestimated Libratus, but have come to regard it as one tough player. "The bot gets better and better every day," Chou said. "It's like a tougher version of us"... Chou said he and the other pros have shared notes and tips each day, looking for weaknesses they can each exploit. "The first couple of days, we had high hopes," Chou said. "But every time we find a weakness, it learns from us and the weakness disappears the next day."
By Saturday, the AI had amassed a lead of $693,531 after 56,732 hands in the 120,000-hand match (which is being livestreamed by the Rivers Casino on Twitch). "I'm feeling good," said Tuomas Sandholm, the computer science professor at Carnegie Mellon who co-created the AI. "The algorithms are performing great. They're better at solving strategy ahead of time, better at driving strategy during play and better at improving strategy on the fly."

In 1962, 24-year-old Donald Knuth began writing The Art of Computer Programming -- and 55 years later, he's still working on it. An anonymous reader quotes Knuth's web site at Stanford: Volume 4B will begin with a special section called 'Mathematical Preliminaries Redux', which extends the 'Mathematical Preliminaries' of Section 1.2 in Volume 1 to things that I didn't know about in the 1960s. Most of this new material deals with probabilities and expectations of random events; there's also an introduction to the theory of martingales.

You can have a sneak preview by looking at the current draft of pre-fascicle 5a (52 pages), last updated 18 January 2017. As usual, rewards will be given to whoever is first to find and report errors or to make valuable suggestions. I'm particularly interested in receiving feedback about the exercises (of which there are 125) and their answers (of which there are 125).
Over the years Knuth gave out over $20,000 in rewards, though most people didn't cash his highly-coveted "hexadecimal checks", and in 2008 Knuth switched to honorary "hexadecimal certificates". In 2014 Knuth complained about the "dumbing down" of computer science history, and his standards remain high. In his most-recent update, 79-year-old Knuth reminds readers that "There's stuff in here that isn't in Wikipedia yet!"

Researchers from the University of Liverpool believe it is possible to detect cognitive decline in the paintings of famous artists by analyzing subtle changes in their brush strokes over time. The technique may one day be used to flag Alzheimer's and Parkinson's in artists before they're diagnosed. Gizmodo reports: A new study published in Neuropsychology shows that a mathematical technique known as "fractal analysis" can be used to detect signs of neurodegeneration in an artist's work. A research team led by Alex Forsythe from the University of Liverpool's School of Psychology made the discovery by examining 2,092 paintings from the careers of seven famous artists who experienced either normal aging or neurodegenerative disorders. Using fractal analysis, the researchers were able to identify complex geometric patterns in the brushstrokes of each artist. Fractals can reveal hidden and often self-repeating patterns in everyday objects and phenomena. These distinctive geometrical shapes are like fingerprints, allowing scientists to match an artist with his or her work. With this in mind, Forsythe's team sought to learn if variations in an artist's fractal fingerprint over time are a function of increasing age, or if neurological decline has something to do with it. For the study, the researchers examined paintings from four artists known to have suffered from either Parkinson's or Alzheimer's, namely Salvadore Dali, Norval Morrisseau, James Brooks, and Willem De Kooning. The researchers also studied the works of three artists who had no known neurodegenerative problems: Marc Chagall, Pablo Picasso, and Claude Monet. Fractal analysis demonstrated clear patterns of change among the artists who suffered neurological deterioration compared to those who aged normally. In all cases, the fractal fingerprints changed, but the fractal dimensions produced by the Parkinson's and Alzheimer's artists showed consistent patterns that were distinguishable from the healthy group.

"if you sell one seat to two different people, and only one of them shows up, you get extra money," explains an article in Popular Mechanics shared by schwit1. Citing a recent TED-Ed video, they argue that the airlines' strategy for booking flights "makes perfect sense, just not for you." The most frustrating part? This math could be tuned to ensure the maximum number of tickets sold with a near zero percent chance too many people show up. Instead, the most profitable solutions often involve a decent chance a few passengers getting screwed, because the extra ticket sales outweigh having to put someone up in a hotel now and then.

schwit1 quotes CyberScoop: Low morale at the National Security Agency is causing some of the agency's most talented people to leave in favor of private sector jobs, former NSA Director Keith Alexander told a room full of journalism students, professors and cybersecurity executives Tuesday. The retired general and other insiders say a combination of economic and social factors including negative press coverage -- have played a part... "I am honestly surprised that some of these people in cyber companies make up to seven figures. That's five times what the chairman of the Joint Chiefs of Staff makes. Right? And these are people that are 32 years old. Do the math. [The NSA] has great competition," he said.

The rate at which these cyber-tacticians are exiting public service has increased over the last several years and has gotten considerably worse over the last 12 months, multiple former NSA officials and D.C. area-based cybersecurity employers have told CyberScoop in recent weeks... In large part, Alexander blamed the press for propagating an image of the NSA that causes people to believe they are being spied on at all times by the U.S. government regardless of their independent actions.
"What really bothers me is that the people of NSA, these folks who take paltry government salaries to protect this nation, are made to look like they are doing something wrong," the former NSA Director added. "They are doing exactly what our nation has asked them to do to protect us. They are the heroes."

Everyone's suggesting gifts to teach the next generation of geeks about science, technology, engineering, and math. Slashdot reader theodp writes: In "My Guide to Holiday Gifts," Melinda Gates presents "a STEM gift guide" [which] pales by comparison to Amazon's "STEM picks". Back in 2009, Slashdot discussed science gifts for kids. So, how about a 2016 update?
I've always wanted to ask what geeky gifts Slashdot's readers remember from when they were kids. (And what geeky gifts do you still bitterly wish some enlightened person would've given you?) But more importantly, what modern-day tech toys can best encourage the budding young geeks of today? Leave your best answers in the comments. What's the best geeky gift for children?

An anonymous reader shares an article on MarketingLand: For the third time since September, Facebook is disclosing new measurement errors. The two new errors affected the reaction counts Facebook reports on Pages' Live videos, as well as the engagement figures Facebook reports for off-Facebook links; the latter link engagement metrics were recently used in investigations by BuzzFeed and The New York Times into fake news articles' performance on Facebook. In addition to acknowledging the two new errors -- of which one has been corrected and one is still being inspected -- Facebook has refined a measurement marketers may reference when buying ads through the social network. None of the aforementioned metrics had any impact on how much money Facebook charges advertisers for their campaigns. But they may have informed brands' Facebook ad-buying strategies as well as brands', publishers' and others' Facebook-related content-publishing strategies.

Tonight at NASA's Ames Research Center in Silicon Valley, Morgan Freeman emceed a glamorous, Oscars-style celebration that recognizes scientific achievements with money from tech billionaires. An anonymous reader writes: Donors for the Breakthrough Prize included Google's Sergey Brin, Facebook's Mark Zuckerberg and his wife Priscilla Chan, Alibaba founder Jack Ma and his wife Cathy Zhang, and billionaire venture capitalist Yuri Milner, according to an article in Fortune. TechCrunch has a list of the winners, which included Princeton math professor Jean Bourgain, who won a $3 million prize "for his many contributions to high-dimensional geometry, number theory, and many other theoretical contributions."

Three more physics researchers -- two from Harvard, and one from U.C. Santa Barbara -- will share a $3 million prize recognizing "meaningful advances in string theory, quantum field theory, and quantum gravity." And another $1 million prize honored the leaders of three teams responsible for "collaborative research on gravitational waves and its implications for physics and astronomy," with another $2 million to be shared among the 1,012 members of their research groups.
17-year-old Deanna See from Singapore also won the $250,000 "Breakthrough Junior Challenge" prize -- and more money for her teachers and school -- for her video about antibiotic-resistant superbugs. Google has created a special page where you can read more about some of the other winners.

"The brain's basic computational algorithm is organized by power-of-two-based logic," reports Sci-News, citing a neuroscientist at Augusta University's Medical College. hackingbear writes: He and his colleagues from the U.S. and China have documented the algorithm at work in seven different brain regions involved with basics like food and fear in mice and hamsters. "Intelligence is really about dealing with uncertainty and infinite possibilities," he said. "It appears to be enabled when a group of similar neurons form a variety of cliques to handle each basic like recognizing food, shelter, friends and foes. Groups of cliques then cluster into functional connectivity motifs to handle every possibility in each of these basics. The more complex the thought, the more cliques join in."

"There was never a job opening for a drone pilot until there was something to fly," writes the founder of market research firm Beagle Research Group, arguing that automation won't inevitably lead society to a universal basic income "free lunch" because new jobs arise when "new capabilities, technical and otherwise, innovate them into existence." Heck, computer programmers had no existence until computers. At one point a computer was just someone who was very good at math performing calculations all day...it took a year to check all of the calculations needed to produce the atomic bomb and that work was all done by humans. Imagine how history might be different if even one of them had a pocket calculator. You get the idea. New technology inspires new jobs.
He also argues that historically automation eliminates jobs that were "dull, dirty, and dangerous," and that automation also ends up performing previously-nonexistent jobs -- or work that was forced onto customers in self-service scenarios.

One coffee drinker's perfect brew may be another drinker's battery acid. For this reason, and presumably others, mathematicians are zeroing in on the equations behind the taste of drip coffee. From a report on BBC:Composed of over 1,800 chemical components, coffee is one of the most widely consumed drinks in the world. The work by Kevin Moroney at the University of Limerick, William Lee at the University of Portsmouth and others offers a better understanding of the parameters that influence the final product. It had previously been known that grinding beans too finely could result in coffee that is over-extracted and very bitter. On the other hand not grinding them enough can make the end result too watery. "What our work has done is take that [observation] and made it quantitative," said Dr Lee. "So now, rather than just saying: 'I need to make [the grains] a bit bigger,' I can say: 'I want this much coffee coming out of the beans, this is exactly the size [of grain] I should aim for." Dr Lee says he sets his grinder to the largest setting. By doing so, he says: "The grains are a bit larger than you get in the standard grind, which makes the coffee less bitter. Partly because it's adjusting that trade-off between the stuff coming out of the surface and stuff coming out of the interior. When things are larger, you're decreasing the overall surface area of the system. "Also, the water flows more quickly through a coffee bed of large grains, because the water's spending less time in contact with the coffee, helping reduce the amount of extraction too. "If it's bitter, it's because you're increasing the amount of surface area in the grains. Also, when the grains are very small, it's hard for the water to slide between them, so the water is spending a lot more time moving through the grains -- giving it more time for the coffee to go out of solution."

In the middle of a discussion about the pros and cons of statins, Sir Rory Collins, the head of clinical trials at Oxford University, noted that If you want a career in medicine these days you're better off studying mathematics or computing than biology. A report on BBC adds: It is a nice one-liner, but I didn't think much more about it until a few days later, when I found myself sitting in a press conference to mark the launch of a new initiative on cancer. Rubbing shoulders on the panel with the director of the Institute of Cancer Research, Professor Paul Workman, was a scientist I didn't recognise, but it soon became clear this was exactly what Sir Rory had had in mind. Dr Andrea Sottoriva is an astrophysicist. He has spent much of his career searching for Neutrinos -- the elusive sub-atomic particles created by the fusion of elements in stars like our sun -- at the bottom of the ocean, and analysing the results of atom smashing experiments with the Large Hadron Collider at Cern in Geneva. "My background is in computer science, particularly as it applies to particle physics," he told me when we met at the ICR's laboratories in Sutton. So why cancer? The answer can be summed up in two words: big data. What Dr Sottoriva brings to the fight against cancer is the expertise in mathematical modelling needed to mine the vast treasure trove of data the information revolution has brought to medicine. "The exciting thing is that we can apply all the new analytical techniques we've developed in physics to biology," he says. "So we have all these new quantitative technologies that allow us to process an enormous amount of data, and all of a sudden we can start to apply that to implement the paradigm of physics in biology."

386BSD was last released back in 1994 with a series of articles in Dr. Dobb's Journal -- but then developers for this BSD-based operating system started migrating to both FreeBSD and NetBSD. An anonymous Slashdot reader writes: The last known public release was version 0.1. Until Wednesday, when Lynne Jolitz, one of the co-authors of 386BSD, released the source code to version 1.0 as well as 2.0 on Github.

386BSD takes us back to the days when you could count every file in your Unix distribution and more importantly, read and understand all of your OS source code. 386BSD is also the missing link between BSD and Linux. One can find fragments of Linus Torvalds's math emulation code in the source code of 386BSD. To quote Linus: "If 386BSD had been available when I started on Linux, Linux would probably never had happened."
Though it was designed for Intel 80386 microprocessors, there's already instructions for launching it on the hosted hardware virtualization service Qemu.

An anonymous Slashdot reader writes: The Linux Foundation held its "LinuxCon Europe" this week, "where developers, sys admins, architects and all types and levels of technical talent gather together under one roof for education, collaboration and problem-solving to further the Linux platform." They've now updated their web site with photos and slide presentations.

The 44 presentations included a talk about Linux kernel security subsystem by kernel developer James Morris and an interesting talk by GitHub's Carol Smith arguing that mandatory math requirements can create a "steep barrier to entry" for people trying to launch programming careers. Karsten Gerloff also described how Siemens is making "strategic" use of free software.

grcumb writes: Peruvian mathematician Harald Helfgott made his mark on the history of mathematics by solving Goldbach's weak conjecture, which states that every odd number greater than 7 can be expressed as the sum of three prime numbers. Now, according to Scientific American, he's found a better solution to the sieve of Eratosthenes: "In order to determine with this sieve all primes between 1 and 100, for example, one has to write down the list of numbers in numerical order and start crossing them out in a certain order: first, the multiples of 2 (except the 2); then, the multiples of 3, except the 3; and so on, starting by the next number that had not been crossed out. The numbers that survive this procedure will be the primes. The method can be formulated as an algorithm." But now, Helfgott has found a method to drastically reduce the amount of RAM required to run the algorithm: "Now, inspired by combined approaches to the analytical 100-year-old technique called the circle method, Helfgott was able to modify the sieve of Eratosthenes to work with less physical memory space. In mathematical terms: instead of needing a space N, now it is enough to have the cube root of N." So what will be the impact of this? Will we see cheaper, lower-power encryption devices? Or maybe quicker cracking times in brute force attacks? Mathematician Jean Carlos Cortissoz Iriarte of Cornell University and Los Andes University offers an analogy: "Let's pretend that you are a computer and that to store data in your memory you use sheets of paper. If to calculate the primes between 1 and 1,000,000, you need 200 reams of paper (10,000 sheets), and with the algorithm proposed by Helfgott you will only need one fifth of a ream (about 100 sheets)," he says.

Microsoft is serious about finding a cure for cancer. In June, Microsoft researchers published a paper that shows how analyzing online activities can provide clues as to a person's chances of having cancer. They were able to identify internet users who had pancreatic cancer even before they'd been diagnosed, all from analyzing web query logs. Several months later, researchers on behalf of the company now say they will "solve" cancer within the next 10 years by treating it like a computer virus that invades and corrupts the body's cells. The goal is to monitor the bad cells and potentially reprogram them to be healthy again. The Independent reports: The company has built a "biological computation" unit that says its ultimate aim is to make cells into living computers. As such, they could be programmed and reprogrammed to treat any diseases, such as cancer. In the nearer term, the unit is using advanced computing research to try and set computers to work learning about drugs and diseases and suggesting new treatments to help cancer patients. The team hopes to be able to use machine learning technologies -- computers that can think and learn like humans -- to read through the huge amounts of cancer research and come to understand the disease and the drugs that treat it. At the moment, so much cancer research is published that it is impossible for any doctor to read it all. But since computers can read and understand so much more quickly, the systems will be able to read through all of the research and then put that to work on specific people's situations. It does that by bringing together biology, math and computing. Microsoft says the solution could be with us within the next five or ten years.

People born without sight appear to solve math problems using visual areas of the brain. NPR has a fascinating report on this: A functional MRI study of 17 people blind since birth found that areas of visual cortex became active when the participants were asked to solve algebra problems, a team from Johns Hopkins reports in the Proceedings of the National Academy of Sciences. "And as the equations get harder and harder, activity in these areas goes up in a blind person," says Marina Bedny, an author of the study and an assistant professor in the department of psychological and brain sciences at Johns Hopkins University. In 19 sighted people doing the same problems, visual areas of the brain showed no increase in activity. "That really suggests that yes, blind individuals appear to be doing math with their visual cortex," Bedny says. The findings, published online Friday, challenge the idea that brain tissue intended for one function is limited to tasks that are closely related.

After analyzing 1.4 million scores on HackerRank's tests for coding accuracy and speed, Chinese programmers "outscored all other countries in mathematics, functional programming, and data structures challenges". Long-time Slashdot reader DirkDaring quotes a report from InfoWorld: While the United States and India may have lots of programmers, China and Russia have the most talented developers according to a study by HackerRank... "If we held a hacking Olympics today, our data suggests that China would win the gold, Russia would take home a silver, and Poland would nab the bronze. Though they certainly deserve credit for making a showing, the United States and India have some work ahead of them before they make it into the top 25."
While the majority of scores came from America and India, the two countries ranked 28th and 31st, respectively. "Poland was tops in Java testing, France led in C++, Hong Kong in Python, Japan in artificial intelligence, and Switzerland in databases," reports InfoWorld. Ukrainian programmers had the top scores in security, while Finland showed the highest scores for Ruby.

geek writes: According to Caroline May from Breitbart News, "The tech industry is seeking to bolster its argument for more white-collar foreign tech workers with the insulting claim that the education system is insufficiently preparing Americans for tech fields, according to pro-American worker attorneys with the Immigration Reform Law Institute (IRLI). [In an op-ed published at The Daily Caller, IRLI attorneys John Miano and Ian Smith take the tech industry to task for its strategy to promote the H-1B visa program -- alleging a labor shortage of apt American tech workers while importing thousands of foreign workers on H1-B visas from countries with lower educational results than the U.S.]" John Miano and Ian Smith write via The Daily Caller: "But if the H-1B program really is meant to correct the failings of our education system, as BigTech's new messaging-push implies, why is it importing so many people from India? According to results from the Programme for International Student Assessment (PISA), a global standardized math and science assessment sponsored by the OECD, India scored almost dead last among the 74 countries tested. The results were apparently so embarrassing, the country pulled out of the program all together. Not surprisingly then, there isn't a single Indian university that appears within the top 250 spots of the World University Rankings Survey. And unlike American bachelor's degrees, obtaining a bachelor's in India takes only three years of study."