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today's leftovers

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  • Intel Formally Announces Iris Xe MAX Graphics, Deep Link - Phoronix

    Given the great performance of Gen12 Xe Graphics on Linux for OpenCL / oneAPI Level Zero / Vulkan, we are certainly excited about the prospects of Xe MAX graphics appearing in more laptops and ultimately in desktops starting next year. From our Tiger Lake testing thus far there is long overdue substantial uplift over Gen9 (and Gen11) graphics. The Linux driver support for Gen12 Xe Graphics have been spot-on and continues seeing new optimizations in Mesa and the Linux kernel as well. It will also be interesting to see what comes of the open-source/Linux support of Deep Link moving forward.

  • New Repository for KOSMIndoorMap

    The indoor mapping component for KDE Itinerary has been moved to a new Git repository and is now undergoing the standard KDE review process for inclusion in the release service for 20.12. Here’s a quick update on what changed.

  • Spooky GTG features to try out for Halloween 2020 – The Open Sourcerer

    Are you an irresistible creature with an insatiable love for the dead… bugs? Well, grab your bug hunter crossbow, because we need you to test some big technological changes in GTG so that we can confidently release version 0.5 sometime soon (way before the year end, ideally).

    [...]

    In addition to the LXML port, another area where Diego brought down the might of his code refactoring skills is the new “task editor” backend and view renderer, which includes a bunch of new features and refinements such as support for subheadings (with the “#” markdown syntax), the use of GTK checkboxes to represent subtasks, tag highlight colors that match the tag’s color, and a bunch of bugfixes. It was also envisioned as a way to address one of the performance issues I theorized about.

    [....]

    As you can imagine, Diego’s changes are all major, invasive technological changes (particularly the proposed file format change), and they would benefit from extensive testing by everybody before 0.5 happens. I’ve done some pretty exhaustive testing before he merged his first two branches of course, but I’m only human, and it is possible that issues might remain. As for the third (file format) branch, we’d like to have more people testing it with copies of “real data” before we feel confident about merging it. So please grab GTG’s git version ASAP, with a copy of your data (see the instructions in the README, including the “Where is my user data and config stored?” section), and torture-test it to make sure everything is working properly, and report issues you may find (if any).

  • Top Open Source Projects Using Artificial Intelligence

    These open-source projects using AI were created by the developers in top companies such as Google, Facebook, Microsoft, IBM, etc. They are mostly groundbreaking projects that have created new innovations in the fields of Artificial Intelligence and Machine Learning. And even more important is the fact that the advances from these open-source projects have benefited the AI sector as a whole with even more funding and innovation provided for newer projects. So let’s check out these trailblazing projects now!

  • Another reminder not to use seasons in tech press

    Technical journalists, podcasters, Wikipedia editors, companies, PR departments, social media posters, all of you: I implore you once again to not use seasons to denote time. They’re not only vague and ambiguous, they literally ignore half the planet. Possibly slightly more than half, given that seasons also mean absolutely nothing to people on or near the Equator.

  • AI Technologies Are Fundamentally Changing How Work Gets Done

    After decades of promise and hype, artificial intelligence is finally becoming one of the most important technologies of our era.  AI technologies, like machine learning, are clearly having a major impact on the very nature of work.  But, how can we best quantify their impact on the actual evolution of jobs?

    The best approach for exploring the relationship between technology and jobs is to look at the individual tasks that comprise a job.  Most jobs involve a number of tasks.  Some of these tasks are relatively routine and based on well-understood rules, while others require judgement, social skills and other human capabilities.  The more routine and rules-based the task, the more amenable it is to automation. 

    However just because some of its component tasks have been automated, does not imply that the whole job has disappeared.  To the contrary, automating the more routine parts of a job will often increase the productivity and quality of workers by complementing their skills with technologies and tools, thus enabling them to focus on those aspect of the job that most need their attention.  While automation  substitutes for labor, automation also complements labor, increasing productivity and other economic outputs in ways that often raise the demand for and earnings of workers.

    “The emergence of artificial intelligence (AI) and machine learning (ML) poses a new set of opportunities - and challenges - for work and workers,” said The Future of Work: How New Technologies Are Transforming Tasks, a research report released last Fall by the MIT-IBM Watson AI Lab.  “The tasks that can be done by machine learning are much broader in scope than previous generations of technology have made possible.  The expanded scope will change the value employers place on tasks, and the types of skills most in demand.”

More in Tux Machines

digiKam 7.7.0 is released

After three months of active maintenance and another bug triage, the digiKam team is proud to present version 7.7.0 of its open source digital photo manager. See below the list of most important features coming with this release. Read more

Dilution and Misuse of the "Linux" Brand

Samsung, Red Hat to Work on Linux Drivers for Future Tech

The metaverse is expected to uproot system design as we know it, and Samsung is one of many hardware vendors re-imagining data center infrastructure in preparation for a parallel 3D world. Samsung is working on new memory technologies that provide faster bandwidth inside hardware for data to travel between CPUs, storage and other computing resources. The company also announced it was partnering with Red Hat to ensure these technologies have Linux compatibility. Read more

today's howtos

  • How to install go1.19beta on Ubuntu 22.04 – NextGenTips

    In this tutorial, we are going to explore how to install go on Ubuntu 22.04 Golang is an open-source programming language that is easy to learn and use. It is built-in concurrency and has a robust standard library. It is reliable, builds fast, and efficient software that scales fast. Its concurrency mechanisms make it easy to write programs that get the most out of multicore and networked machines, while its novel-type systems enable flexible and modular program constructions. Go compiles quickly to machine code and has the convenience of garbage collection and the power of run-time reflection. In this guide, we are going to learn how to install golang 1.19beta on Ubuntu 22.04. Go 1.19beta1 is not yet released. There is so much work in progress with all the documentation.

  • molecule test: failed to connect to bus in systemd container - openQA bites

    Ansible Molecule is a project to help you test your ansible roles. I’m using molecule for automatically testing the ansible roles of geekoops.

  • How To Install MongoDB on AlmaLinux 9 - idroot

    In this tutorial, we will show you how to install MongoDB on AlmaLinux 9. For those of you who didn’t know, MongoDB is a high-performance, highly scalable document-oriented NoSQL database. Unlike in SQL databases where data is stored in rows and columns inside tables, in MongoDB, data is structured in JSON-like format inside records which are referred to as documents. The open-source attribute of MongoDB as a database software makes it an ideal candidate for almost any database-related project. This article assumes you have at least basic knowledge of Linux, know how to use the shell, and most importantly, you host your site on your own VPS. The installation is quite simple and assumes you are running in the root account, if not you may need to add ‘sudo‘ to the commands to get root privileges. I will show you the step-by-step installation of the MongoDB NoSQL database on AlmaLinux 9. You can follow the same instructions for CentOS and Rocky Linux.

  • An introduction (and how-to) to Plugin Loader for the Steam Deck. - Invidious
  • Self-host a Ghost Blog With Traefik

    Ghost is a very popular open-source content management system. Started as an alternative to WordPress and it went on to become an alternative to Substack by focusing on membership and newsletter. The creators of Ghost offer managed Pro hosting but it may not fit everyone's budget. Alternatively, you can self-host it on your own cloud servers. On Linux handbook, we already have a guide on deploying Ghost with Docker in a reverse proxy setup. Instead of Ngnix reverse proxy, you can also use another software called Traefik with Docker. It is a popular open-source cloud-native application proxy, API Gateway, Edge-router, and more. I use Traefik to secure my websites using an SSL certificate obtained from Let's Encrypt. Once deployed, Traefik can automatically manage your certificates and their renewals. In this tutorial, I'll share the necessary steps for deploying a Ghost blog with Docker and Traefik.