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Sci/Tech

Meet the Astronaut AI that Runs on Ubuntu

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Sci/Tech
Ubuntu

Meet CIMON (Crew Interactive Mobile CompanioN). This free-floating Ubuntu-based cyber colleague has been designed to “mitigate” the stresses of, and share the work during, long-term spaceflight.

And to do that he’s had to boldly go where no AI assistant has gone before: space.

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How Docker Is Helping to Save The World (Literally)

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Server
Sci/Tech

There are many different things that individuals might consider to be a life threatening event and then there are extinction level events, for example an asteroid hitting Earth.

While the idea of an asteroid hitting Earth and ending all life is the stuff of Hollywood movie like Armageddon, it's an actual, though remote, possibility that NASA is investigating, with the help of Docker containers.

NASA is currently developing a mission known as DART - the Double Asteroid Redirection Test, which is a spacecraft that will deploy a kinetic impact technique to deflect an asteroid. Christopher Heistand, DART Flight Software Lead, at the The Johns Hopkins University Applied Physics Laboratory (APL) that is helping to build the DART ship, detailed how his group is using Docker.

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Google's do no evil AI style likely to clash with open source approach

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Google
OSS
Sci/Tech
  • Google's do no evil AI style likely to clash with open source approach

    Google outlined its artificial intelligence principles in a move to placate employees who were worried about their work and research winding up in U.S. weapons systems.

    Guess what? It's already too late. There's no way that Google's open source approach and its headline principle to not allow its AI into weapons is going to mesh. Chances are fairly good that the technology already open sourced is in some fledgling weapon system somewhere. After all, TensorFlow and a bunch of other neural network tools are pretty damn handy.

  • Read Google's AI ethics memo: 'We are not developing AI for use in weapons'
  • Google Plans Not to Renew Its Contract for Project Maven, a Controversial Pentagon Drone AI Imaging Program
  • Google promises not to use A.I. for weapons or surveillance, for the most part
  • Google pledges not to develop AI weapons, but says it will still work with the military

    Google has released a set of principles to guide its work in artificial intelligence, making good on a promise to do so last month following controversy over its involvement in a Department of Defense drone project. The document, titled “Artificial Intelligence at Google: our principles,” does not directly reference this work, but makes clear that the company will not develop AI for use in weaponry. It also outlines a number of broad guidelines for AI, touching issues like bias, privacy, and human oversight.

    While the new principles forbid the development of AI weaponry, they state that Google will continue to work with the military “in many other areas.” Speaking to The Verge, a Google representative said that had these principles been published earlier, the company would likely not have become involved in the Pentagon’s drone project, which used AI to analyze surveillance footage. Although this application was for “non-offensive purposes,” and therefore hypothetically permitted under these guidelines, the representative said it was too close for comfort — suggesting Google will play it safe with future military contracts.

Free/Open Source AI Projects

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OSS
Sci/Tech
  • How open-source computing is making AI affordable

    computing and the cloud have brought many previously unaffordable IT options to small and medium-sized enterprises (SMEs). The same is becoming true of artificial intelligence (AI), although it brings new challenges to all sizes of company.

    Even though many of the commercial, high-profile products are aimed at Global 2000 companies, and others marketed at SMEs are perhaps heavier on hype than intelligence, the smarter smaller organisations can learn, build on and use AI techniques right now, with those same open-source and
    .

  • Free Ebook Offers Insight on 16 Open Source AI Projects

    Open source AI is flourishing, with companies developing and open sourcing new AI and machine learning tools at a rapid pace. To help you keep up with the changes and stay informed about the latest projects, The Linux Foundation has published a free ebook by Ibrahim Haddad examining popular open source AI projects, including Acumos AI, Apache Spark, Caffe, TensorFlow, and others.

    “It is increasingly common to see AI as open source projects,” Haddad said. And, “as with any technology where talent premiums are high, the network effects of open source are very strong.”

Scientific Linux 7.5 Released As RHEL 7.5 Rebuild

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Red Hat
Sci/Tech

Testing of the release candidate earlier this month went well and out now is the official Scientific Linux 7.5 release.

Scientific Linux 7.5 is the re-spin derived from upstream Red Hat Enterprise Linux 7.5 and its many changes/improvements.

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How Netflix Deploys Open Source AI to Reveal Your Favorites

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Sci/Tech

In this AI based Science article, we explore How Netflix adopted an Open Source Model to improve their Entertainment Recommender Systems.
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Open Sourcing the Hunt for Exoplanets

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Google
OSS
Sci/Tech

Why is cryptocurrency open source? This paper from 1999 explains

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OSS
Security
Sci/Tech

Cryptocurrency's roots go back further than bitcoin. In fact, bitcoin was just the first cryptocurrency to use the blockchain rather than the first cryptocurrency ever.

Other early cryptocurrencies include now venerable names like World of Warcraft (WoW) gold, a digital currency designed for use as a store of value and a transfer medium in the gaming universe of World of Warcraft. It used a proof-of-work mining algorithm in which users would engage with the WoW ecosystem via their computer's graphical interface and complete various digital tasks to be rewarded with gold.

As the fiat currency value of WoW gold increased, it attracted more miners without any corresponding difficulty adjustment, eventually leading to substantial inflation and a collapsing economy.

Today's cryptocurrencies seem to have learned from the problems of the past. For example, bitcoin and many others will adjust mining difficulty to prevent massive inflation when mining power increases.

It's no surprise that almost everything cryptocurrency, from the coins to the exchanges to the wallets, are built on open-source software. This paper from 1999 might be more relevant than ever, especially with a few wallets and coins still being partly or entirely closed source.

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Openwashing Surveillance

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OSS
Sci/Tech
  • Facebook Open Sources Detectron Object Detection

    The way big companies are open sourcing significant AI is both gratifying and slightly worrying. AI is the biggest revolution since we discovered fire and started making tools. FaceBook AI Research has added to the list of what is available by open sourcing its Detectron project.

  • Facebook open-sources object detection research

    Facebook's artificial intelligence research (FAIR) team today announced it would open-source its object detection platform Detectron, as well as the research the team has done on it.

  • Facebook open-sources object detection work: Watch out, Google CAPTCHA

    acebook has brought us one step closer to a Skynet future made a commitment to computer vision boffinry by open-sourcing its codebase for object detection, Detectron.

    Written in Python and powered by the Caffe2 deep learning framework, the codebase – which implements object-sniffing algos such as Mask R-CNN and RetinaNet – is available under the Apache 2.0 licence.

From lab to libre software: how can academic software research become open source?

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OSS
Sci/Tech

Academics generate enormous amounts of software, some of which inspires commercial innovations in networking and other areas. But little academic software gets released to the public and even less enters common use. Is some vast "dark matter" being overlooked in the academic community? Would the world benefit from academics turning more of their software into free and open projects?

I asked myself these questions a few months ago when Red Hat, at its opening of a new innovation center in Boston's high-tech Fort Point neighborhood, announced a unique partnership with the goal of tapping academia. Red Hat is joining with Boston-area computer science departments—starting with Boston University—to identify promising software developed in academic projects and to turn it into viable free-software projects. Because all software released by Red Hat is under free licenses, the partnership suggests a new channel by which academic software could find wider use.

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More in Tux Machines

Android Leftovers

today's leftovers

Games: Atari VCS Console, Humble Store and TUNG (The Ultimate Nerd Game)

  • Atari VCS Console Runs a Custom Linux Distro Called “AtariOS”
    Following criticism of its mediocre internal makeup the Ataris VCS console will now ship with 8GB RAM by default, up from the 4GB proposed during the funding push. It’s a decent increase in memory that should help the system cope better with more intensive indie games (don’t expect AAA titles to play nicely on the machine with the middling AMD Bristol Ridge APU).
  • Humble Store is doing a 'Pixel Perfect Platformers Sale' and it has some top Linux games for cheap
    For those of you who love your platformers, regardless of them being 2D, 3D, puzzle or action adventures there's bound to be something for the bored Linux gamer in the Humble Store Pixel Perfect Platformers Sale.
  • TUNG (The Ultimate Nerd Game) made me realise how stupid I really am
    The Ultimate Nerd Game or TUNG for short, is a first-person sandbox game about building intricate machines and it made me feel so very dumb. If you loved Minecraft's Redstone circuits or anything remotely similar, this is probably a free game you're going to love. For me, it was an exercise in frying my brain like it's in a microwave.

OSS Leftovers

  • Pharmaceutical industry gets first open source platform for Level 4 serialization
    Pharmaceutical companies today for the first time have an open source alternative for level 4 serialization with the launch of QU4RTET, a platform that provides them with new flexibility, transparency and affordability as they comply with global drug anti-counterfeiting laws.
  • Kontron Uses Open Source to Move Beyond Bare Metal
    Kontron, a company known for its embedded computing technology, is leveraging virtualization and open source to become a direct supplier to large service providers, promising to integrate hardware and operating system software with best-of-breed virtual network functions. That new sales strategy has evolved to support containers, particularly as they fit at the edge of the network, which for Kontron AG is the cell tower. In May, Kontron announced that its integrated SYMKLOUD open source platform now supports the latest versions of OpenStack for virtual machines and bare metal, as well as Kubernetes v1.10 for Docker and containers, via its distribution partnership with Canonical.
  • Open Source Expands In Finance With The FINOS Platform
  • Global Open Source Services Market Forecast to 2025 Published by Marketresearchnest
  • Synopsys ARC HS4x Processors Now Supported By GCC
    The GCC 8 compiler brought the Synopsys ARC CPU target while for the GCC 9 release is going to be support for the company's HS4x processors. Merged today to mainline GCC is support for the HS4x CPUs within the ARC target. Adding this newer generation of ARC processors to the GNU Compiler Collection code-base was just a few hundred lines of code with building off the existing target code.
  • GPL Cooperation Commitment gets more support for open source licensing
    Red Hat has announced its open source license enforcement initiative is making new strides. As part of the GPL Cooperation Commitment, 14 new companies have joined the effort to promote greater predictability for GPLv2 and LGPLv2.x licenses. “Through this initiative, we hope ultimately to increase participation in the use and development of open source software by helping to ensure that enforcement, when it takes place, is fair and predictable,” according to the commitment’s website.
  • The Global IP Exchange: Human ingenuity and open source technology
    He said: “Customers do increasingly care about open source, and if you don’t comply you are at risk of upsetting authors, as well as litigation and injunctions.” “If you’re just distributing internally, then you’re fine, but as soon as it leaves your company, then you’ve triggered an obligation.” For those who don’t comply, he warned that either the licensor, or the Free Software Foundation will find out.
  • How to Setup Python Virtual Environment on Ubuntu 18.04
    Python is a versatile programming language that can be used for many different programming projects(Web - Mobile - Desktop). Easy to set up, and written in a relatively straightforward style with immediate feedback on errors, Python is a great choice for beginners and experienced developers alike. Python 3 is the most current version of the language and is considered to be the future of Python. This article will guide you through installing Python 3 on your local Linux machine and setting up a programming virtual environment via the command line. This article will explicitly cover the installation procedures for Ubuntu 18.04, but the general principles apply to any other distribution of Debian Linux.
  • How expensive is globbing for sources in large projects
    Since we have the measurement script, let's use it for something more interesting. Modules are an upcoming C++ feature to increase build times and a ton of other coolness depending on who you ask. The current specification works by having a kind of "module export declaration" at the beginning of source files. The idea is that you first compile those to generate a sort of a module declaration file and then you can start the actual compilation that uses said files. If you thought "waitaminute, that sounds exactly like how FORTRAN is compiled", you are correct. Because of this it has the same problem that you can't compile source files in an arbitrary order, but instead you must first somehow scan them to find out the interdependencies between source (not header) files. In practice what this means is that instead of single-phase compilation all files must be processed twice. All scan operations must be done before any compilation jobs can start because otherwise you might start to compile a file before its dependencies are fully processed. The scanning can be done in one of two ways. Either the build system scans the sources meaning it needs to understand the syntax of source files or the compiler can be invoked in a special preprocessing mode. Note that build systems such as Ninja do not do any such operations by themselves but instead always invoke external processes to do their work.
  • Security updates for Monday