I wore the world's first HDR10 smart glasses TCL's new E Ink tablet beats the Remarkable and Kindle Anker's new charger is one of the most unique I've ever seen I wore the world's first HDR10 smart glasses TCL's new E Ink tablet beats the Remarkable and Kindle Anker's new charger is one of the most unique I've ever seen Can MainstreamOS finally make Linux a household name? Finally, there's a Linux distro that makes Arch and Hyprland easy - while adding the polish of MacOS. What's not to love about MainstreamOS? There's finally a Linux distro that makes Arch and Hyprland easy. Mainstream OS is everything you need in a desktop.

I wore the world's first HDR10 smart glasses TCL's new E Ink tablet beats the Remarkable and Kindle Anker's new charger is one of the most unique I've ever seen I wore the world's first HDR10 smart glasses TCL's new E Ink tablet beats the Remarkable and Kindle Anker's new charger is one of the most unique I've ever seen The 6 AI-free Linux distros I recommend most - and why they're likely to stay that way If AI isn't your jam, and you're looking for an operating system that doesn't (and won't) force it on you, look no further than these Linux distributions. Not all Linux distributions will eventually include AI. Developers' ethos often runs counter to AI technology. Jack Wallen expects these six distros will continue to shun AI. AI is everywhere, and the technology's tendrils continue finding their way into more and more places.

I wore the world's first HDR10 smart glasses TCL's new E Ink tablet beats the Remarkable and Kindle Anker's new charger is one of the most unique I've ever seen I wore the world's first HDR10 smart glasses TCL's new E Ink tablet beats the Remarkable and Kindle Anker's new charger is one of the most unique I've ever seen Need a custom Linux distribution, but don't have time to learn how to build one? OpenFactory is a new service to build custom Linux distros. Although it's targeted toward businesses, users can also benefit. The service is currently in the early alpha stage. Recently, a developer, Erik Ziegenbald, reached out to me to test his new service, called OpenFactory.

I wore the world's first HDR10 smart glasses TCL's new E Ink tablet beats the Remarkable and Kindle Anker's new charger is one of the most unique I've ever seen I wore the world's first HDR10 smart glasses TCL's new E Ink tablet beats the Remarkable and Kindle Anker's new charger is one of the most unique I've ever seen If immutable and atomic distributions are the future of Linux, how do you choose? Maybe you don't have to. I break it all down. Immutable and atomic Linux distros are all the rage. Each has its pros and cons.

Artificial Intelligence(AI) and Machine Learning(ML) are literally on fire these days. Powering a wide spectrum of use-cases ranging from self-driving cars to drug discovery and to God knows what. AI and ML have a bright and thriving future ahead of them. On the other hand, Docker revolutionized the computing world through the introduction of ephemeral lightweight containers. Containers basically package all the software required to run inside an image(a bunch of read-only layers) with a COW(Copy On Write) layer to persist the data.

Python has become a popular programming language in the AI/ML world. Projects like TensorFlow and PyTorch have Python bindings as the primary interface used by data scientists to write machine learning code. However, distributing AI/ML-related Python packages and ensuring application binary interface (ABI) compatibility between various Python packages and system libraries presents a unique set of challenges. The manylinux standard (e.g., manylinux2014) for Python wheels provides a practical solution to these challenges, but it also introduces new challenges that the Python community and developers need to consider. Python packages are installed using the pip command, which downloads the package from pypi.org.

For many tasks, such as deep learning (also known as deep structured learning or hierarchical learning), a CPU is no longer enough. In these cases, a GPU will actually help you perform operations significantly faster. This is primarily because with a modern GPU you'll be able to run many more threads, a common CPU may have 16 cores while a common GPU has over 4000 cores. These cores are much simpler and cannot do as much a s CPU, but they don't have to in this case, meaning a GPU allows you to train your neural network much faster. Steadfast GPU dedicated servers can support a wide array of operating systems, such as Windows and most Linux distributions, and thus support most known machine learning and neural network libraries (i.e.