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In this third part, we will discuss Machine Learning, specifically the prediction task in the context of information theory.

The concept of Mutual Information (MI) is related to the prediction task. In fact, the prediction task can be viewed as the problem of extracting information about the signal from the factors. Some part of the information about the signal is contained in the factors. If you write a function that calculates a value close to the signal based on the factors, then this will demonstrate that you have been able to extract MI between the signal and the factors.

Introduction to ADRs

ADRs are critical for documenting architectural decisions in software projects. They provide a historical record of decisions, rationales, and impacts, vital for future teams and stakeholders.

Defining ADRs

An ADR is a document capturing key architectural decisions along with their context and consequences. It helps stakeholders understand why certain choices were made during a project, promoting transparency and clarity.

This article was originally posted at Product Identity.

What comes to your mind when you hear the word Telegram?

I wouldn’t be surprised if drugs, sex, or crypto are your first associations. Throughout the years, Telegram earned a shady reputation, perhaps not strategically, but for a “good” reason.

I feel like Telegram is a mystery. On the outside, it might be perceived as a platform designed for drug traffickers, crypto scammers, and sexual abusers.

I shared this feeling when I joined the early team of Bancor in 2016, as I also joined its internal group chat, needless to say, on Telegram.

However, the app was quickly removed from my list of stigmas. Instead, I started to appreciate Telegram for its well-crafted product and care for design. From its meticulous attention to small details to have a unique brand — it stands as a dogma of an opinionated product (and a company) in many aspects. In addition, it helped me recognize the benefits of separating my private and professional lives early on.

After using Telegram extensively over the past 7+ years, I feel the urge to write about it, but this time not in the spirit of its typical news headlines.

Introduction: In this guide, I explore the automation of reCAPTCHA solving in web scraping and testing scenarios using Puppeteer, a Node.js tool designed for browser automation. My focus is on the practical use of the puppeteer-extra-plugin-stealth plugin to seamlessly navigate through reCAPTCHA challenges.

In this article, I will cover the memory consumption of .NET applications on Linux. Firstly, we will try to understand the idea of virtual memory. Then, we will examine the memory statistics that Linux provides, such as RSS (Resident Set Size), VmData, RES (Resident Memory Size), and SWAP. Following that, we will delve into specifics related to the .NET.

In the DevOps realm, where automation is crucial, the management of resources and updating processes in the cloud is vitally important. Many modern projects, particularly in AWS cloud environments, leverage Auto Scaling Groups (ASG). This mechanism aims to achieve three key objectives: balancing loads, increasing service reliability, and optimizing operational costs for efficiency and effectiveness.

Imagine working at a company where you deploy applications on Amazon's resources. To streamline this process and manage configurations more effectively, you use pre-built AMI images. These are crafted with tools like HashiCorp Packer, ensuring your applications launch swiftly and reliably. For the actual infrastructure deployment, you turn to Terraform. It's widely recognized as the standard in many major companies for managing cloud resources and using the IaC (Infrastructure as Code) approach.

As an IT engineer, you sometimes need to update instance versions to a newer AMI image, either for the latest security patches or to introduce new functionalities. The challenge lies in updating an active ASG without causing downtime. It's crucial to ensure the new AMI performs as reliably as the existing one, balancing the need for updates with system stability and uptime.

ASG's instance refresh is a crucial feature that allows for updating instances within a group while minimizing downtime, thereby maintaining high availability. However, ensuring the success of such updates, especially in large, complex systems, can be a challenge. Terraform resources, such as aws_autoscaling_group, can initiate this process but don't provide progress tracking. This limitation becomes apparent when other infrastructure components, such as certificate renewals or DNS updates, depend on the state and version of the instances. Monitoring the update process is essential to maintain an accurate infrastructure state after Terraform's execution.

To overcome this challenge, Ansible can be utilized...

Need to start your career or hobby in digital design and verification of silicon chips or reconfigurable hardware? Explore multiple FPGA toolchains and open-source ASIC tools? Design your own RISC-V CPU or ML accelerator? Prepare for an interview in SystemVerilog? Come to our first Silicon Valley meetup on portable SystemVerilog examples for ASIC and FPGA.

Trace Compass with GZip

Trace Compass is an open-source application performance analysis framework. It is designed to visualize and analyze traces, which are recordings of events that occur in a software system during its execution. Trace Compass is particularly useful for understanding the behavior, performance, and interactions within complex software systems.

Key features of Trace Compass include:

Trace Visualization: It provides a graphical representation of traces, allowing users to visualize the sequence and timing of events in a system.

Analysis Tools: Trace Compass offers various analysis tools and modules for different types of traces, helping users identify performance bottlenecks, errors, and other issues.

Support for Multiple Trace Formats: It supports a wide range of trace formats from different sources, making it versatile for analyzing traces generated by various software components.

Customizable Views: Users can customize the views and analyses based on their specific needs, allowing for a more tailored and effective analysis process.

Integration with Eclipse: Trace Compass is often integrated with the Eclipse IDE, providing developers with a seamless environment for analyzing and debugging their applications.

Overall, Trace Compass is a valuable tool for developers, system administrators, and performance analysts to gain insights into the runtime behavior of software systems and optimize their performance.

What is ageing? We can define ageing as a process of accumulation of the damage which is just a side-effect of normal metabolism. While researchers still poorly understand how metabolic processes cause damage accumulation, and how accumulated damage causes pathology, the damage itself – the structural difference between old tissue and young tissue – is categorized and understood pretty well. By repairing damage and restoring the previous undamaged – young – state of an organism, we can really rejuvenate it! It sounds very promising, and so it is. And for some types of damage (for example, for senescent cells) it is already proved to work!

Today in our virtual studio, somewhere between cold, rainy Saint-Petersburg and warm, sunny Huston, we meet Stephanie Planque! For those of you who are not familiar with her, here is a brief introduction.

Stephanie Planque was awarded the PhD in 2009 by the University of Texas-Houston Medical School for her advances in applying electrophilic analogs of proteins to decipher the beneficial and harmful functional effects of catabodies. She then expanded her focus to vaccination and therapeutic catabody identification using proprietary electrophilic target analogs. Her work was published in 49 peer-reviewed scientific articles, she has numerous national/international conference presentations. She moved fulltime as a co-founder to Covalent Bioscience in 2018 to focus on rapidly translating their electrophilic vaccine/catabody technologies to clinical reality.

Title:

After sale IT support for American and Western Companies 

Let’s have a case study. 

A Russian IT company sells software to a western country like say America. And you are working as an application developer on the support side. 

One day, there is a problem with the program, and the program has stopped working. 

You must contact the company now to inform them that the program is off-line. 

THE NEXT STEP YOU TAKE IS VERY IMPORTANT. 

The way, the two cultures operate in a situation like this are very different and it will have everything to do with how easy your job goes for you.

…………

Russia : “we have a problem”

“What is wrong?”

“I don’t know”

“When can it be fixed?”

“I don’t know”

……………

USA: “i’m just giving you a real quick call to let you know that there is a problem with the program. 

I’ve already put my team on it and we will have it up and running shortly. 

I will let you know more by 3 o’clock today what is going on”

It’s not important how long you think it will take you, but I will always tell them a few hours from the time that you informed them of a problem.

I understand that you have no idea how deep the bug is and also whether it will affect any other systems.

But it is important to set a time window very close to when you inform them that you will bring them more information. 

This also works very well if you don’t know something that they ask you.

Question:

“What can we do to fix this problem?”

Answer: 

“I understand what you’re saying. I will look into it and get back to you in two hours.  By 1 PM today.”

in this case, it’s important that you: 

1. Take responsibility for yourself and your team.

   2. Communicate that you understand this responsibility.

   3. Gives strict timelines. (if it’s not possible, you can always say that there is a problem, but do it before the deadline.) 

    4. Use certain key language.

“ I understand you”

“ I understand what you were saying”

“ I wanted to inform you”

“ we are working on it right now”

Network programming in C++ can be challenging. But even a greater challenge is to find educational content that will arm you with the knowledge on how to apply your networking skills in real applications.

In this article you can learn the basics of socket communication and many ways how you can design your internal messaging protocols.

I based my approach on an English manual that caught my eye just a couple of days ago, and I decided to test it (since it's written by a captcha recognition service that I use, why not - by the way, guys from 2captcha - I accept thanks in the form of green bills, if you're interested))))

I've made some tentative attempts at automation and encountered a frequently arising problem: reCaptcha recognition.

Of course, I understand that there are many guides, manuals, and articles written on this topic, but let's agree - it's interesting to describe one's own experience.

Thus, without getting too lengthy and boring about why Selenium is necessary, how important it is for automation, when it appeared and who invented it, let's get to the crux:

To solve the problem, we'll use a demo page kindly provided by reCaptcha itself - https://recaptcha-demo.appspot.com/recaptcha-v2-checkbox.php:

Hey everyone! Today, I'll guide you through creating a boundless cloud storage solution on Telegram using TeleDrive. This open-source project is a game-changer, offering functionalities like Google Drive/OneDrive via the Telegram API.

The traditional definition for the operation of exponentiation to a natural power (or a positive integer) had introduced approximately as follows:

Exponentiation is an arithmetic operation originally defined as the result of multiple multiplications a number by itself.

But the more precise formulation is still different:

Raising a number X to an integer power N is an arithmetic operation defined as the result of multiple [N by mod times] multiplications or divisions one by number X.

In the realm of frontend development, the quest for enhancing user interaction remains a constant pursuit. Developers, inspired by innovation, often seek solutions to refine components for a seamless user experience. Today, we delve into the construction of an advanced dropdown component using Svelte — a framework known for its simplicity and effectiveness.