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Slashdot
Slashdot
News for nerds, stuff that matters

Google's Machine Learning Is Analyzing Data From NASA's Kepler Space Telescope
by EditorDavid
11 Dec 2017 at 3:34am
NASA writes: NASA will host a media teleconference at 1 p.m. EST Thursday, Dec. 14, to announce the latest discovery made by its planet-hunting Kepler space telescope. The discovery was made by researchers using machine learning from Google. Machine learning is an approach to artificial intelligence, and demonstrates new ways of analyzing Kepler data... When Kepler launched in March 2009, scientists didn't know how common planets were beyond our solar system. Thanks to Kepler's treasure trove of discoveries, astronomers now believe there may be at least one planet orbiting every star in the sky. Space.com adds: Kepler spots alien worlds by noticing the tiny brightness dips they cause when they cross the face of their host star from the spacecraft's perspective. Kepler is the most accomplished planet hunter in history. It has found more than 2,500 confirmed alien worlds -- about 70 percent of all known exoplanets -- along with a roughly equal number of "candidates" that await confirmation by follow-up observations or analyses. The vast majority of these discoveries have come via observations that Kepler made during its original mission, which ran from 2009 to 2013. Study of these data sets is ongoing; over the past few years, researchers have used improved analysis techniques to spot many exoplanets in data that Kepler gathered a half-decade ago or more. Space.com describes Thursday's announcement as an exoplanet discovery. (Earlier they reported on the discovery of "a possibly habitable alien world" about 2.2 times the size of earth orbiting a dwarf star "within the range of distances where liquid water could exist on a world's surface".) Slashdot reader schwit1 points out that other less-credible sites speculate NASA's announcement will be "a major discovery about life beyond earth."

Read more of this story at Slashdot.


Does Systemd Makes Linux Complex, Error-Prone, and Unstable?
by EditorDavid
10 Dec 2017 at 11:32pm
"Systemd developers split the community over a tiny detail that decreases stability significantly and increases complexity for not much real value." So argues Nico Schottelius, talking about his experiences as the CEO of a Swiss company providing VM hosting, datacenters, and high-speed fiber internet. Long-time Slashdot reader walterbyrd quotes Nico's essay: While I am writing here in flowery words, the reason to use Devuan is hard calculated costs. We are a small team at ungleich and we simply don't have the time to fix problems caused by systemd on a daily basis. This is even without calculating the security risks that come with systemd. Our objective is to create a great, easy-to-use platform for VM hosting, not to walk a tightrope... [W]hat the Devuan developers are doing is creating stability. Think about it not in a few repeating systemd bugs or about the insecurity caused by a huge, monolithic piece of software running with root privileges. Why do people favor Linux on servers over Windows? It is very easy: people don't use Windows, because it is too complex, too error prone and not suitable as a stable basis. Read it again. This is exactly what systemd introduces into Linux: error prone complexity and instability. With systemd the main advantage to using Linux is obsolete. The essay argues that while Devuan foisted another choice into the community, "it is not their fault. Creating Devuan is simply a counteraction to ensure Linux stays stable. which is of high importance for a lot of people."

Read more of this story at Slashdot.



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