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Sci/Tech

Innovating Nanotechnology with Open Science and AI

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Sci/Tech

Read how Open Source techniques are driving innovation in Nanotechnology by looking into several aspects through Open Science and AI.
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What Does "Ethical" AI Mean for Open Source?

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OSS
Sci/Tech

It would be an understatement to say that artificial intelligence (AI) is much in the news these days. It's widely viewed as likely to usher in the next big step-change in computing, but a recent interesting development in the field has particular implications for open source. It concerns the rise of "ethical" AI.

In October 2016, the White House Office of Science and Technology Policy, the European Parliament's Committee on Legal Affairs and, in the UK, the House of Commons' Science and Technology Committee, all released reports on how to prepare for the future of AI, with ethical issues being an important component of those reports. At the beginning of last year, the Asilomar AI Principles were published, followed by the Montreal Declaration for a Responsible Development of Artificial Intelligence, announced in November 2017.

Abstract discussions of what ethical AI might or should mean became very real in March 2018. It was revealed then that Google had won a share of the contract for the Pentagon's Project Maven, which uses artificial intelligence to interpret huge quantities of video images collected by aerial drones in order to improve the targeting of subsequent drone strikes. When this became known, it caused a firestorm at Google. Thousands of people there signed an internal petition addressed to the company's CEO, Sundar Pichai, asking him to cancel the project. Hundreds of researchers and academics sent an open letter supporting them, and some Google employees resigned in protest.

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Programming: ProjectQ and Rust

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Development
Moz/FF
Sci/Tech
  • Open-Source Software Framework Makes Quantum Computing More Accessible

    To help further this field, Häner and a team at ETH Zurich created ProjectQ, a free, open-source software framework for quantum computing that allows users to implement their quantum programs in the high-level programming language Python using a powerful and intuitive syntax. ProjectQ can then translate these programs to any type of back-end, either a simulator run on a classical computer or an actual quantum chip.

  • This Week in Rust 245

    Always wanted to contribute to open-source projects but didn't know where to start? Every week we highlight some tasks from the Rust community for you to pick and get started!

Deep learning and free software

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Debian
Sci/Tech

Deep-learning applications typically rely on a trained neural net to accomplish their goal (e.g. photo recognition, automatic translation, or playing go). That neural net uses what is essentially a large collection of weighting numbers that have been empirically determined as part of its training (which generally uses a huge set of training data). A free-software application could use those weights, but there are a number of barriers for users who might want to tweak them for various reasons. A discussion on the debian-devel mailing list recently looked at whether these deep-learning applications can ever truly be considered "free" (as in freedom) because of these pre-computed weights—and the difficulties inherent in changing them.

The conversation was started by Zhou Mo ("Lumin"); he is concerned that, even if deep-learning application projects release the weights under a free license, there are questions about how much freedom that really provides. In particular, he noted that training these networks is done using NVIDIA's proprietary cuDNN library that only runs on NVIDIA hardware.

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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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More in Tux Machines

Top 20 Best Openbox Themes for Linux System in 2019

Have you ever heard about the stacking window manager, Openbox? It is broadly used in Unix-like systems. Most probably, it’s among the most customizable parts out there. You can easily modify and beautify this with a little bit of effort. The question may arise- with what and how can you do this? Well! We are going to disclose it now. It’s by Openbox themes, which lets you have a minimalist and fantastic visual interface for your desktop manager. Read more

Fedora IoT Review

With the rise in IoT use, we are witnessing a demand for ready-made operating systems to support smart device development. Currently, the race is between proprietary versions such as IoT Plug and Play by Microsoft and open source operating systems. One such emerging open source player is Fedora which has a workstation that supports virtualization and containers. Fedora is also slated to release an Internet of Things edition called “Fedora IoT” in future. Here is a review of the open source product’s support capabilities for IoT and relevant installation details. Read more

5 Practical Examples of the Read Command in Linux

With read command, you can make your bash script interactive by accepting user inputs. Learn to use the read command in Linux with these practical examples. Read more

Programming: C++, C and Python

  • Extend C++ capabilities with LLVM STLExtras.h

    The LLVM compiler project provides a header file called STLExtras.h that extends the capabilities of C++ without any dependency on the rest of LLVM. In this article, we take a quick look at its basic functionality.

  • Rewriting Old Solaris C Code In Python Yielded A 17x Performance Improvement

    While we normally hear of rewriting code from Python and other scripting languages into C/C++ when its a matter of performance, in the case of Oracle Solaris it was taking old C code and modernizing it in Python 3 to yield a ~17x performance improvement. Shared today on Oracle's official Solaris blog was an interesting anecdote about their listusers command being rewritten in Python 3 from C. Oracle's Darren Moffat noted the C code was largely untouched since around 1988 and given its design at a time when systems were less dense than today with hundreds or even thousands of users per system.

  • Python Projects for Beginners: The Best Way to Learn

    Learning Python can be difficult. You can spend time reading a textbook or watching videos, but then struggle to actually put what you've learned into practice. Or you might spend a ton of time learning syntax and get bored or lose motivation. How can you increase your chances of success? By building Python projects. That way you're learning by actually doing what you want to do! When I was learning Python, building projects helped me bring together everything I was learning. Once I started building projects, I immediately felt like I was making more progress.

  • PyCon 2019: The People of PyCon

    I can’t tell you how amazing it was to meet the individuals I read, listen to, or who make the tools I use. I was so happy to meet the authors that helped me to grow over the last few years, especially Dan Bader, Peter Baumgartner, Matt Harrison, Reuven Lerner, Harry Percival , and Lacey Williams Henschel. I love podcasts, so it was wonderful to meet Michael Kennedy and Brian Okken in person. And I was happy to meet Paul Ganssle, Russell Keith-Magee, Barry Warsaw, and other maintainers and contributors. It was a delight to meet Bob Belderbos and Julian Sequeira from PyBites.

  • Find the first non-consecutive number with Python

    Your task is to find the first element of an array that is not consecutive. E.g. If we have an array [1,2,3,4,6,7,8] then 1 then 2 then 3 then 4 are all consecutive but 6 is not, so that’s the first non-consecutive number. If the whole array is consecutive then return None.

  • Perceiving Python programming paradigms

    Early each year, TIOBE announces its Programming Language of The Year. When its latest annual TIOBE index report came out, I was not at all surprised to see Python again winning the title, which was based on capturing the most search engine ranking points (especially on Google, Bing, Yahoo, Wikipedia, Amazon, YouTube, and Baidu) in 2018.