4MLinux 44 Adds System-Wide VA-API Support, Improves Printing Support

4MLinux creator Zbigniew Konojacki announced today the release and general availability for download of a new stable and major release of his independent GNU/Linux distribution using the lightweight JWM (Joe’s Window Manager) graphical environment, 4MLinux 44.

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Source: Linux Today – 4MLinux 44 Adds System-Wide VA-API Support, Improves Printing Support

NixOS 23.11 “Tapir” Released With the GNOME 45 Desktop & Wi-Fi 6 Support

Coming six months after NixOS 23.05, the NixOS 23.11 release is here to introduce the latest GNOME 45 “Riga” desktop environment series. The GNOME edition ships with the GNOME 45.1 desktop by default on a Wayland session for both bare metal and virtual machines.

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Source: Linux Today – NixOS 23.11 “Tapir” Released With the GNOME 45 Desktop & Wi-Fi 6 Support

AMD Posts 11th Iteration Of P-State Preferred Core Patches For Linux

For the past number of months AMD has been actively working on enabling AMD P-State Preferred Core functionality for Linux so that their modern processors can communicate “preferred” cores to the Linux kernel scheduler for making better decisions around task placement and ultimately ensuring best performance of Ryzen and EPYC processors running on Linux. This week they are up to their 11th take on these kernel patches…

Source: Phoronix – AMD Posts 11th Iteration Of P-State Preferred Core Patches For Linux

Jolla's Former Management Acquires The Business

It’s been a number of years since many in the Linux/open-source space have been excited by the Jolla smartphone efforts with their failed smartphone/tablet devices and more recently focusing their Linux-based Sailfish OS devices for running on existing devices. The latest chapter in Jolla is the former management acquiring the Jolla business…

Source: Phoronix – Jolla’s Former Management Acquires The Business

Armbian 23.11 Released With Linux Kernel 6.6 LTS & Support for New Devices

The Armbian project announced today the release and general availability of Armbian 23.11 as the latest version of this GNU/Linux distribution tailored for ARM-powered embedded devices based on Debian GNU/Linux and Ubuntu.

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Source: Linux Today – Armbian 23.11 Released With Linux Kernel 6.6 LTS & Support for New Devices

Searching for packages with rpm-ostree search

This article descibes how to find an application to add to your ostree based system (such as Silverblue and Kinoite) using rpm-ostree. One of the main benefits of the Fedora ostree-based systems is the immutability of the system. Not only is the image read-only, it’s also pre-built on the Fedora servers. Thus, updating a running […]

Source: LXer – Searching for packages with rpm-ostree search

Ubuntu 23.10 Showing Nice Performance Improvements On Ampere Altra Max

Gigabyte (Giga Computing) recently sent over their G242-P36 HPC/AI Arm server platform built for Ampere Altra and Ampere Altra Max processors. This 2U server platform can accommodate up to four graphics cards or a mix of GPUs and DPUs if so desired, for maxing out the AI possibilities on Arm. I’ll have up a full review on the G242-P36 soon while in this article is a look at the direction of the Ubuntu Server Arm performance from Ubuntu 22.04 LTS to now with Ubuntu 23.10 ahead of the important Ubuntu 24.04 LTS cycle.

Source: Phoronix – Ubuntu 23.10 Showing Nice Performance Improvements On Ampere Altra Max

[$] A Rust implementation of Android's Binder

The Android system was once famous for extensive, out-of-tree kernel
enhancements. Many of those have been eliminated or upstreamed over
the years, bringing Android much closer to the mainline kernel. One
significant component in the “upstreamed” category is Binder, an
interprocess communication mechanism that is used only by Android. There
are a number of factors that make Binder a good candidate for rewriting in
the Rust language; at the 2023 Linux
Plumbers Conference
, Carlos Llamas and Alice Ryhl described the
motivation behind and implementation of a rewrite of Binder in Rust.

Source: LWN.net – [$] A Rust implementation of Android’s Binder

Nitrokey Releases NetHSM, a Fully Open-Source Hardware Security Module

German company Nitrokey has released NetHSM 1.0, an open-source hardware security module (HSM). The module can be used for storing and managing a variety of cryptographic keys (e.g., keys to enable HTTPS, DNSSEC, secure blockchain transactions, etc.) in a secure manner.

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Source: Linux Today – Nitrokey Releases NetHSM, a Fully Open-Source Hardware Security Module

Experience AI: Making AI relevant and accessible

Google DeepMind’s Aimee Welch discusses our partnership on the Experience AI learning programme and why equal access to AI education is key. This article also appears in issue 22 of Hello World on teaching and AI.

From AI chatbots to self-driving cars, artificial intelligence (AI) is here and rapidly transforming our world. It holds the potential to solve some of the biggest challenges humanity faces today — but it also has many serious risks and inherent challenges, like reinforcing existing patterns of bias or “hallucinating”, a term that describes AI making up false outputs that do not reflect real events or data.

A teenager learning computer science.
Young people need the knowledge and skills to navigate and shape AI.

Teachers want to build young people’s AI literacy

As AI becomes an integral part of our daily lives, it’s essential that younger generations gain the knowledge and skills to navigate and shape this technology. Young people who have a foundational understanding of AI are able to make more informed decisions about using AI applications in their daily lives, helping ensure safe and responsible use of the technology. This has been recognised for example by the UK government’s AI Council, whose AI Roadmap sets out the goal of ensuring that every child in the UK leaves school with a basic sense of how AI works.

Learner in a computing classroom.
Every young person should have access to learning AI literacy.

But while AI literacy is a key skill in this new era, not every young person currently has access to sufficient AI education and resources. In a recent survey by the EdWeek Research Center in the USA, only one in 10 teachers said they knew enough about AI to teach its basics, and very few reported receiving any professional development related to the topic. Similarly, our work with the Raspberry Pi Computing Education Research Centre has suggested that UK-based teachers are eager to understand more about AI and how to engage their students in the topic.

Bringing AI education into classrooms

Ensuring broad access to AI education is also important to improve diversity in the field of AI to ensure safe and responsible development of the technology. There are currently stark disparities in the field and these start already early on, with school-level barriers contributing to underrepresentation of certain groups of people. By increasing diversity in AI, we bring diverse values, hopes, and concerns into the design and deployment of the technology — something that’s critical for AI to benefit everyone.

Kenyan children work on a physical computing project.
Bringing diverse values into AI is critical.

By focusing on AI education from a young age, there is an opportunity to break down some of these long-standing barriers. That’s why we partnered with the Raspberry Pi Foundation to co-create Experience AI, a new learning programme with free lesson plans, slide decks, worksheets and videos, to address gaps in AI education and support teachers in engaging and inspiring young people in the subject.

The programme aims to help young people aged 11–14 take their first steps in understanding the technology, making it relevant to diverse learners, and encouraging future careers in the field. All Experience AI resources are freely available to every school across the UK and beyond.

A woman teacher helps a young person with a coding project.
The Experience AI resources are free for every school.

The partnership is built on a shared vision to make AI education more inclusive and accessible. Bringing together the Foundation’s expertise in computing education and our cutting-edge technical knowledge and industry insights has allowed us to create a holistic learning experience that connects theoretical concepts and practical applications.

Experience AI: Informed by AI experts

A group of 15 research scientists and engineers at Google DeepMind contributed to the development of the lessons. From drafting definitions for key concepts, to brainstorming interesting research areas to highlight, and even featuring in the videos included in the lessons, the group played a key role in shaping the programme in close collaboration with the Foundation’s educators and education researchers.

Interview for Experience AI at Google DeepMind.
Interviews with AI scientists and engineers at Google DeepMind are part of Experience AI.

To bring AI concepts to life, the lessons include interactive activities as well as real-life examples, such as a project where Google DeepMind collaborated with ecologists and conservationists to develop machine learning methods to study the behaviour of an entire animal community in the Serengeti National Park and Grumeti Reserve in Tanzania.

Elephants in the Serengeti.
One of the Experience AI lessons focuses on an AI-enabled research project in the Serengeti.

Member of the working group, Google DeepMind Research Scientist Petar Veličković, shares: “AI is a technology that is going to impact us all, and therefore educating young people on how to interact with this technology is likely going to be a core part of school education going forward. The project was eye-opening and humbling for me, as I learned of the challenges associated with making such a complex topic accessible — not only to every pupil, but also to every teacher! Observing the thoughtful approach undertaken by the Raspberry Pi Foundation left me deeply impressed, and I’m taking home many useful ideas that I hope to incorporate in my own AI teaching efforts going forward.”

The lessons have been carefully developed to:

  • Follow a clear learning journey, underpinned by the SEAME framework which guides learners sequentially through key concepts and acts as a progression framework.
  • Build foundational knowledge and provide support for teachers. Focus on teacher training and support is at the core of the programme.
  • Embed ethics and responsibility. Crucially, key concepts in AI ethics and responsibility are woven into each lesson and progressively built on. Students are introduced to concepts like data bias, user-focused approaches, model cards, and how AI can be used for social good. 
  • Ensure cultural relevance and inclusion. Experience AI was designed with diverse learners in mind and includes a variety of activities to enable young people to pick topics that most interest them. 

What teachers say about the Experience AI lessons

To date, we estimate the resources have reached 200,000+ students in the UK and beyond. We’re thrilled to hear from teachers already using the resources about the impact they are having in the classroom, such as Mrs J Green from Waldegrave School in London, who says: “I thought that the lessons covered a really important topic. Giving the pupils an understanding of what AI is and how it works will become increasingly important as it becomes more ubiquitous in all areas of society. The lessons that we trialled took some of the ‘magic’ out of AI and started to give the students an understanding that AI is only as good as the data that is used to build it. It also started some really interesting discussions with the students around areas such as bias.”

An educator points to an image on a student's computer screen.
Experience AI offers support for teachers.

At North Liverpool Academy, teacher Dave Cross tells us: “AI is such a current and relevant topic in society that [these lessons] will enable Key Stage 3 computing students [ages 11–14] to gain a solid foundation in something that will become more prevalent within the curriculum, and wider subjects too as more sectors adopt AI and machine learning as standard. Our Key Stage 3 computing students now feel immensely more knowledgeable about the importance and place that AI has in their wider lives. These lessons and activities are engaging and accessible to students and educators alike, whatever their specialism may be.”

A stronger global AI community

Our hope is that the Experience AI programme instils confidence in both teachers and students, helping to address some of the critical school-level barriers leading to underrepresentation in AI and playing a role in building a stronger, more inclusive AI community where everyone can participate irrespective of their background. 

Children in a Code Club in India.

Today’s young people are tomorrow’s leaders — and as such, educating and inspiring them about AI is valuable for everybody.

Teachers can visit experience-ai.org to download all Experience AI resources for free.

We are now building a network of educational organisations around the world to tailor and translate the Experience AI resources so that more teachers and students can engage with them and learn key AI literacy skills. Find out more.

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Source: Raspberry Pi – Experience AI: Making AI relevant and accessible

Holiday Shopping 2023: FSF Endorses 802.11n WiFi, Opteron Boards & USB To Parallel Printer Cable

The Free Software Foundation this week published their 2023 holiday shopping guide for services and products that comply with their pure free software standards, such as computer hardware devices that “respect your freedom” regardless of hardware age…

Source: Phoronix – Holiday Shopping 2023: FSF Endorses 802.11n WiFi, Opteron Boards & USB To Parallel Printer Cable