Red Hat and Fedora
PromonLogicalis, a provider of information technology and communication solutions and services in Latin America, and Red Hat, Inc. (NYSE: RHT), the world's leading provider of open source solutions, announced a collaboration that aim to help organizations navigate the digital transformation of their infrastructures to pave the way for cloud and the software-defined technologies, and to advance open source technology awareness in the region.
Open source is delivering significant advancements in many areas of technology through community-powered innovation, including cloud computing, mobile, big data, and more. And, as companies embrace modern technology as a competitive advantage via digital transformation efforts, many are turning to open source because of the flexibility and agility it can enable.
Fedora 25 should have good support for the open-source Vulkan Linux drivers (particularly if it lands the next Mesa release) while Fedora 24 users can now more easily play with the latest Mesa Git RADV and Intel ANV Vulkan drivers via a new repository.
A Phoronix reader has setup a Fedora Copr repository that is building Intel's Vulkan driver from Mesa Git plus the RADV Radeon Vulkan driver re-based from its source (David Airlie's semi-interesting GitHub branch). Fedora COPR, for the uninformed, is the distribution's equivalent to Ubuntu PPA repositories.
Every year, I introduce Fedora to new students at Brno Technical University. There are approx. 500 of them and a sizable amount of them then installs Fedora. We also organize a sort of installfest one week after the presentation where anyone who has had any difficulties with Fedora can come and ask for help. It’s a great opportunity to observe what things new users struggle with the most. Especially when you have such a high number of new users. What are my observations this year?
Gumstix announced two SBCs this week, based on Intel Joule and Curie IoT modules and built to 96Boards CE and IE form-factor specifications, respectively.
At Linaro Connect Las Vegas 2016, where earlier this week Linaro’s 96Boards.org announced a new 96Boards IoT Edition (IE) spec, Gumstix announced support for 96Boards.org’s open SBC standards with two new single-board computers. Both SBCs will be available for purchase in October.
ORWL is the first open source, physically secure computer. Using a secure microcontroller (MCU) and an ‘active clamshell mesh’, the device makes sure that nobody breaks the security of the system. Its maker, Design Shift, has also launched a crowdfunding campaign on Crowd Supply.
Purism, the startup behind the Librem laptops with a focus on free software and user privacy/freedom, still has their minds set on coming up with a GNU/Linux smartphone.
Purism continues selling their high-priced laptops and their Librem 11 is forthcoming as an Intel-based tablet/convertible device with stocking station. Next on their horizon they want to produce "the ideal no-carrier, Free Software phone running a bona fide GNU+Linux stack."
Digium, the lead commercial sponsor behind the Asterisk open source PBX project announced the release Asterisk 14 this week, continuing to evolve the decade old effort, making it easier to use and deploy.
Yahoo today announced its latest open-source release: a model that can figure out if images are specifically pornographic in nature.
The system uses a type of artificial intelligence called deep learning, which involves training artificial neural networks on lots of data (like dirty images) and getting them to make inferences about new data. The model that’s now available on GitHub under a BSD 2-Clause license comes pre-trained, so users only have to fine-tune it if they so choose. The model works with the widely used Caffe open source deep learning framework. The team trained the model using its now open source CaffeOnSpark system.
The new model could be interesting to look at for developers maintaining applications like Instagram and Pinterest that are keen to minimize smut. Search engine operators like Google and Microsoft might also want to check out what’s under the hood here.
“To the best of our knowledge, there is no open source model or algorithm for identifying NSFW images,” Yahoo research engineer Jay Mahadeokar and senior director of product management Gerry Pesavento wrote in a blog post.
Cloudera, Pentaho and Alation are among vendors making Big Data announcements at this week's Strata event.
Vendors big and small are making news at this week's Strata + Hadoop event as they try to expand their portion of the Big Data market.
Cloudera highlighted a trio of Apache Software Foundation (ASF) projects to which it contributes. Among them is Spark 2.0, which benefits from a new Dataset API that offers the promise of better usability and performance as well as new machine learning libraries.
How can data science make a true market impact? Partnerships, particularly amongst open source communities. As IBM solidifies its enterprise strategies around data demands, two new partnerships emerge: one with Continuum Analytics, Inc., advancing open-source analytics for the enterprise; and another with Galvanize, initiating a Data Science for Executives program.
Continuum Analytics, the creator and driving force behind Anaconda — a leading open data science platform powered by Python — has allied with IBM to advance open-source analytics for the enterprise. Data scientists and data engineers in open-source communities can now embrace Python and R to develop analytic and machine learning models in the Spark environment through its integration with IBM’s DataWorks Project.
The new agreement between IBM and Galvanize, which provides a dynamic learning community for technology, will offer an assessment, analysis and training element for Galvanize’s Data Science for Executives program. This program empowers corporations to better understand, use and maximize the value of their data. The program will support IBM’s DataFirst Method, a methodology that IBM says provides the strategy, expertise and game plan to help ensure enterprise customers’ succeed on their journey to become a data-driven business.
Libre Learn Lab is a two-day summit for people who create, use and implement freely licensed resources for K-12 education, bringing together educators, policy experts, software developers, hardware hackers, and activists to share best practices and address the challenges of widespread adoption of these resources in education. The 2nd biennial conference is Saturday, October 8th, and Sunday, October 9th, at the MIT Tang Center.
The keynote addresses will be delivered by the FSF’s own Richard M. Stallman, former Chief Open Education Advisor Andrew Marcinek and founder of HacKIDemia Stefania Druga. At the event, there will be a special tribute to Dr. Seymour Papert (the father of educational computing) by Dr. Cynthia Solomon.
The Internet Corporation for Assigned Names and Numbers is moving -- carefully -- to upgrade the DNS root zone key by which all domains can be authenticated under the DNS Security Extensions protocol.
ICANN is the organization responsible for managing the Domain Name System, and DNS Security Extensions (DNSSEC) authenticates DNS responses, preventing man-in-the-middle attacks in which the attacker hijacks legitimate domain resolution requests and replaces them with fraudulent domain addresses.
DNSSEC still relies on the original DNS root zone key generated in 2010. That 1024-bit RSA key is scheduled to be replaced with a 2048-bit RSA key next October. Although experts are split over the effectiveness of DNSSEC, the update of the current root zone key signing key (KSK) is long overdue.
The emergence of the CISO is a relatively recent phenomenon at many companies. Their success often relies upon educating the business from the ground up. In the process, companies become a lot better about how to handle security and certainly learn how not to handle it.
As a CIO, knowing the pulse of security is critical. I oversee a monthly technology steering committee that all the executives attend. The CISO reports during this meeting on the state of the security program. He also does an excellent job of putting risk metrics out there, color coded by red, yellow, and green. This kind of color grading allows us to focus attention on where we are and what we’re doing about it.