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Why Dolly Parton could bring together Americans who agree on almost nothing

FOX News

Dolly Parton embodied the African concept of Ubuntu, or 'I am because we are,' enlarging humanity through her Imagination Library and delight in people.


I asked Canonical if Ubuntu on Windows will outgrow native installs as rumored - it's a no

ZDNet

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 I asked Canonical if Ubuntu on Windows will outgrow native installs as rumored - it's a no There's some confusion about Ubuntu's popularity on Windows Subsystem for Linux, so I asked Canonical's Jon Seager directly. Linux on WSL is popular for enterprises and AI developers. WSL helps programmers work across Windows and Linux. There have been reports that Ubuntu on Windows may one day outgrow native Ubuntu installs. I interviewed Jon Seager, Ubuntu Linux parent company Canonical's VP of engineering, and he told me, No, not really, only that the growth rate is faster!


I used OpenFactory to build my own Linux distro overnight - this AI tool is going to be big

ZDNet

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.



A Proof of Proposition 2.2: additive expansion proposition

Neural Information Processing Systems

We first define the restricted Cheeger constant in the link prediction task. Then, according to Proposition 2.1, we have: Then, we can draw the same conclusion with Eq.12, and the Thus, Eq.16 can be simplified to: "sites" Based on the Eq.15 and Eq.17, we can rewrite L The inequality holds due to the assumption. Knowledge discovery: In the 5 random experiments, we add 500 pseudo links in each iteration. The metadata information of the nodes are all strongly relevant to "Linux" Both papers focus on the "malware"/"phishing" under the topic "Computer security". The detailed result of the case study is shown in Table 6.


How To Use Jupyter on Your Deep Learning Rig Remotely With SSH

#artificialintelligence

Now we can do our favorite two things and update our packages and repositories. Something to note is that the package manager of course will depend on the distribution you chose. For RedHat it can be either dnf or yum, Debian(or Ubuntu) will use apt, Arch will use Pacman, and openSuse will use man. So if you didn't choose to use RedHat, just replace my dnf with your respective package manager. After pressing y and enter at least once, you are now going have to get your new best friend: SSH.


Installing TensorFlow with GPU support on Windows WSL in 2022

#artificialintelligence

TensorFlow is phasing out GPU support for native windows. Now, to use TensorFlow on GPU you'll need to install it via WSL. Caution: The current TensorFlow version, 2.10, is the last TensorFlow release that will support GPU on native-Windows. Starting with TensorFlow 2.11, you will need to install TensorFlow in WSL2, or install tensorflow_cpu and, optionally, try the TensorFlow-DirectML-Plugin WSL can a be great way to jump into python development without having to dual boot windows with a Linux distribution (most commonly, Ubuntu), but the RAM for WSL is capped at 50% of total system RAM. This can be changed in the WSL config file, but you would still need to have enough RAM to run both WSL and regular Windows smoothly.


On Task-Adaptive Pretraining for Dialogue Response Selection

arXiv.org Artificial Intelligence

Recent advancements in dialogue response selection (DRS) are based on the \textit{task-adaptive pre-training (TAP)} approach, by first initializing their model with BERT~\cite{devlin-etal-2019-bert}, and adapt to dialogue data with dialogue-specific or fine-grained pre-training tasks. However, it is uncertain whether BERT is the best initialization choice, or whether the proposed dialogue-specific fine-grained learning tasks are actually better than MLM+NSP. This paper aims to verify assumptions made in previous works and understand the source of improvements for DRS. We show that initializing with RoBERTa achieve similar performance as BERT, and MLM+NSP can outperform all previously proposed TAP tasks, during which we also contribute a new state-of-the-art on the Ubuntu corpus. Additional analyses shows that the main source of improvements comes from the TAP step, and that the NSP task is crucial to DRS, different from common NLU tasks.


Apache Airflow Essential Guide - Analytics Vidhya

#artificialintelligence

This article was published as a part of the Data Science Blogathon. Not only is it free and open source, but it also helps create and organize complex data channels. A data channel platform designed to meet the challenges of long-term tasks and large-scale scripts. Airflow was developed at the request of one of the leading open source data channel platforms. You can define, implement, and control your data integration process with Airflow, an open-source tool.


Data Engineer, Commercial Systems

#artificialintelligence

We have established a new data science practice at Canonical. The team will innovate in the open source data science technology stack, deliver advanced business analytics, support product roadmap decisions for Canonical through actionable insights, and lead by example in setting and publicly advocating for industry standards in open source data science. The team will have both Data Scientists and Data Engineers, apply here if you are most excited about the Data Engineer role! As a Data Engineer at Canonical you will act as a technical expert in an exciting field at the intersection of data engineering, data science, and machine learning technologies, with particular emphasis on the open source ecosystem of Canonical and Ubuntu. You will drive the organisation, instrumentation, ingestion, and transformation of data from a wide range of sources in the company.