Language Selection

English French German Italian Portuguese Spanish

Sci/Tech

KStars 2.8.7 Released!

Filed under
KDE
Sci/Tech

Another minor KStars release is now available for Linux, MacOS, & Windows. KStars 2.8.7 brings several bug fixes and new improvements!

Read more

KStars 2.8.5 is released!

Filed under
KDE
Software
Sci/Tech

So here comes another minor release for KStars v2.8.5 just less than two weeks after 2.8.4 was released. KStars v2.8.5 is available for Windows, MacOS, and Linux.

Read more

Release GCompris Qt 0.80

Filed under
KDE
Sci/Tech

We are pleased to announce the release of GCompris version 0.80.

Read more

Fake News From Fossbytes and Techworm

Filed under
Software
Sci/Tech

Artificial intelligence/Machine learning

Filed under
OSS
Sci/Tech
  • Is your AI being handed to you by Google? Try Apache open source – Amazon's AWS did

    Surprisingly, the MXNet Machine Learning project was this month accepted by the Apache Software Foundation as an open-source project.

    What's surprising about the announcement isn't so much that the ASF is accepting this face in the crowd to its ranks – it's hard to turn around in the software world these days without tripping over ML tools – but rather that MXNet developers, most of whom are from Amazon, believe ASF is relevant.

  • Current Trends in Tools for Large-Scale Machine Learning

    During the past decade, enterprises have begun using machine learning (ML) to collect and analyze large amounts of data to obtain a competitive advantage. Now some are looking to go even deeper – using a subset of machine learning techniques called deep learning (DL), they are seeking to delve into the more esoteric properties hidden in the data. The goal is to create predictive applications for such areas as fraud detection, demand forecasting, click prediction, and other data-intensive analyses.

  • Your IDE won't change, but YOU will: HELLO! Machine learning

    Machine learning has become a buzzword. A branch of Artificial Intelligence, it adds marketing sparkle to everything from intrusion detection tools to business analytics. What is it, exactly, and how can you code it?

  • Artificial intelligence: Understanding how machines learn

    Learning the inner workings of artificial intelligence is an antidote to these worries. And this knowledge can facilitate both responsible and carefree engagement.

  • Your future boss? An employee-interrogating bot – it's an open-source gift from Dropbox

    Dropbox has released the code for the chatbot it uses to question employees about interactions with corporate systems, in the hope that it can help other organizations automate security processes and improve employee awareness of security concerns.

    "One of the hardest, most time-consuming parts of security monitoring is manually reaching out to employees to confirm their actions," said Alex Bertsch, formerly a Dropbox intern and now a teaching assistant at Brown University, in a blog post. "Despite already spending a significant amount of time on reach-outs, there were still alerts that we didn't have time to follow up on."

Scientific Linux 7.3 Released

Filed under
Red Hat
Sci/Tech
  • Scientific Linux 7.3 Officially Released, Based on Red Hat Enterprise Linux 7.3

    After two Release Candidate (RC) development builds, the final version of the Scientific Linux 7.3 operating system arrived today, January 26, 2017, as announced by developer Pat Riehecky.

    Derived from the freely distributed sources of the commercial Red Hat Enterprise Linux 7.3 operating system, Scientific Linux 7.3 includes many updated components and all the GNU/Linux/Open Source technologies from the upstream release.

    Of course, all of Red Hat Enterprise Linux's specific packages have been removed from Scientific Linux, which now supports Scientific Linux Contexts, allowing users to create local customization for their computing needs much more efficiently than before.

  • Scientific Linux 7.3 Released

    For users of Scientific Linux, the 7.3 release is now available based off Red Hat Enterprise Linux 7.3.

The code that took America to the moon was just published to GitHub, and it’s like a 1960s time capsule

Filed under
OSS
Sci/Tech

When programmers at the MIT Instrumentation Laboratory set out to develop the flight software for the Apollo 11 space program in the mid-1960s, the necessary technology did not exist. They had to invent it.

They came up with a new way to store computer programs, called “rope memory,” and created a special version of the assembly programming language. Assembly itself is obscure to many of today’s programmers—it’s very difficult to read, intended to be easily understood by computers, not humans. For the Apollo Guidance Computer (AGC), MIT programmers wrote thousands of lines of that esoteric code.

Read more

Open source machine learning tools as good as humans in detecting cancer cases

Filed under
OSS
Sci/Tech
  • Open source machine learning tools as good as humans in detecting cancer cases

    Machine learning has come of age in public health reporting according to researchers from the Regenstrief Institute and Indiana University School of Informatics and Computing at Indiana University-Purdue University Indianapolis. They have found that existing algorithms and open source machine learning tools were as good as, or better than, human reviewers in detecting cancer cases using data from free-text pathology reports. The computerized approach was also faster and less resource intensive in comparison to human counterparts.

  • Machine learning can help detect presence of cancer, improve public health reporting

    To support public health reporting, the use of computers and machine learning can better help with access to unstructured clinical data--including in cancer case detection, according to a recent study.

Syndicate content

More in Tux Machines

Red Hat Woes and Fedora 29 Plans

  • Shares of open-source giant Red Hat pounded on weaker outlook
  • Fedora 29 Aims To Offer Up Modules For Everyone
    The latest Fedora 29 feature proposal is about offering "modules for everyone" across all Fedora editions. The "modules for everyone" proposal would make it where all Fedora installations have modular repositories enabled by default. Up to now the modular functionality was just enabled by default in Fedora Server 28. The modular functionality allows Fedora users to choose alternate versions of popular software, such as different versions of Node.js and other server software components where you might want to stick to a particular version.

GNU Make, FSFE Newsletter, and FSF's BLAG Removal

  • Linux Fu: The Great Power of Make
    Over the years, Linux (well, the operating system that is commonly known as Linux which is the Linux kernel and the GNU tools) has become much more complicated than its Unix roots. That’s inevitable, of course. However, it means old-timers get to slowly grow into new features while new people have to learn all in one gulp. A good example of this is how software is typically built on a Linux system. Fundamentally, most projects use make — a program that tries to be smart about running compiles. This was especially important when your 100 MHz CPU connected to a very slow disk drive would take a day to build a significant piece of software. On the face of it, make is pretty simple. But today, looking at a typical makefile will give you a headache, and many projects use an abstraction over make that further obscures things.
  • FSFE Newsletter June 2018
  • About BLAG's removal from our list of endorsed distributions
    We recently updated our list of free GNU/Linux distributions to add a "Historical" section. BLAG Linux and GNU, based on Fedora, joined the list many years ago. But the maintainers no longer believe they can keep things running at this time. As such, they requested that they be removed from our list. The list helps users to find operating systems that come with only free software and documentation, and that do not promote any nonfree software. Being added to the list means that a distribution has gone through a rigorous screening process, and is dedicated to diligently fixing any freedom issues that may arise.

Servers: Kubernetes, Oracle's Cloudwashing and Embrace of ARM

  • Bloomberg Eschews Vendors For Direct Kubernetes Involvement
    Rather than use a managed Kubernetes service or employ an outsourced provider, Bloomberg has chosen to invest in deep Kubernetes expertise and keep the skills in-house. Like many enterprise organizations, Bloomberg originally went looking for an off-the-shelf approach before settling on the decision to get involved more deeply with the open source project directly. "We started looking at Kubernetes a little over two years ago," said Steven Bower, Data and Infrastructure Lead at Bloomberg. ... "It's a great execution environment for data science," says Bower. "The real Aha! moment for us was when we realized that not only does it have all these great base primitives like pods and replica sets, but you can also define your own primitives and custom controllers that use them."
  • Oracle is changing how it reports cloud revenues, what's it hiding? [iophk: "probably Microsoft doing this too" (cloudwashing)]
     

    In short: Oracle no longer reports specific revenue for cloud PaaS, IaaS and SaaS, instead bundling them all into one reporting line which it calls 'cloud services and licence support'. This line pulled in 60% of total revenue for the quarter at $6.8 billion, up 8% year-on-year, for what it's worth.

  • Announcing the general availability of Oracle Linux 7 for ARM
    Oracle is pleased to announce the general availability of Oracle Linux 7 for the ARM architecture.
  • Oracle Linux 7 Now Ready For ARM Servers
    While Red Hat officially launched RHEL7 for ARM servers last November, on Friday Oracle finally announced the general availability of their RHEL7-derived Oracle Linux 7 for ARM. Oracle Linux 7 Update 5 is available for ARM 64-bit (ARMv8 / AArch64), including with their new Unbreakable Enterprise Kernel Release 5 based on Linux 4.14.

Graphics: XWayland, Ozone-GBM, Freedreno, X.Org, RadeonSI

  • The Latest Batch Of XWayland / EGLStream Improvements Merged
    While the initial EGLStreams-based support for using the NVIDIA proprietary driver with XWayland was merged for the recent X.Org Server 1.20 release, the next xorg-server release will feature more improvements.
  • Making Use Of Chrome's Ozone-GBM Intel Graphics Support On The Linux Desktop
    Intel open-source developer Joone Hur has provided a guide about using the Chrome OS graphics stack on Intel-based Linux desktop systems. In particular, using the Chrome OS graphics stack on the Linux desktop is primarily about using the Ozone-GBM back-end to Ozone that allows for direct interaction with Intel DRM/KMS support and evdev for input.
  • Freedreno Reaches OpenGL ES 3.1 Support, Not Far From OpenGL 3.3
    The Freedreno Gallium3D driver now supports all extensions required by OpenGL ES 3.1 and is also quite close to supporting desktop OpenGL 3.3.
  • X.Org Is Looking For A North American Host For XDC2019
    If software development isn't your forte but are looking to help out a leading open-source project while logistics and hospitality are where you excel, the X.Org Foundation is soliciting bids for the XDC2019 conference. The X.Org Foundation is looking for proposals where in North America that the annual X.Org Developers' Conference should be hosted in 2019. This year it's being hosted in Spain and with the usual rotation it means that in 2019 they will jump back over the pond.
  • RadeonSI Compatibility Profile Is Close To OpenGL 4.4 Support
    It was just a few days ago that the OpenGL compatibility profile support in Mesa reached OpenGL 3.3 compliance for RadeonSI while now thanks to the latest batch of patches from one of the Valve Linux developers, it's soon going to hit OpenGL 4.4. Legendary open-source graphics driver contributor Timothy Arceri at Valve has posted 11 more patches for advancing RadeonSI's OpenGL compatibility profile support, the alternative context to the OpenGL core profile that allows mixing in deprecated OpenGL functionality. The GL compatibility profile mode is generally used by long-standing workstation software and also a small subset of Linux games.