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I'm stunned by the illogicality of others, and they are stunned by the fact that I'm a robot." This phrase perfectly describes the peculiarities of my interaction with the world around me. I'm like this robot. Or an alien. I can only guess how the other people see me. But now I know for sure that others consider me at least strange. The feeling is mutual. Many actions of people around me seem completely irrational and illogical to me.

For a long time, this baffled me. I didn't understand what was going on, and considered myself a deep introvert, a withdrawn, gloomy dude who did not understand people and their feelings at all. I kept wondering what was wrong with me…

Спустя два года после дебюта iPhone самым продаваемым телефоном в США было не чудо Apple с сенсорным экраном. Это был BlackBerry Curve. Вы спросите, как такое возможно? Разве iPhone не убил телефоны с клавиатурами? На самом деле, история чуть сложнее.

Да, действительно, BlackBerry как бренд не пережил переход на телефоны с сенсорными экранами, но iPhone были не единственной причиной такого перехода. Чтобы понять, в чём заключалась привлекательность BlackBerry, важно вспомнить, как выглядели ноутбуки в конце 2000-х...

В августе, благодаря нашей песочнице, была предотвращена атака на российские организации с применением нового вредоносного кода. Изначально мы предположили, что это массовый фишинг с серверов злоумышленников, который каждый день можно встретить на почте любой организации. Но оказалось, что отправитель письма вполне легитимный: он был скомпрометирован злоумышленниками, нацеленными на российские оборонные и промышленные организации.

Хакеры использовали сложную схему сокрытия вредоносной нагрузки в архивах-полиглотах. Полиглоты — это файлы, которые могут быть валидны с точки зрения спецификации нескольких форматов. Сама вредоносная нагрузка является новой обфусцированной вариацией инструмента PhantomRShell, который использует группировка PhantomCore (ранее мы писали про нее в блоге).

В этой статье мы расскажем подробности атаки, ее возможный исходный вектор и дадим рекомендации по защите почтовой инфраструктуры от взлома и подобных атак. Интересно? Добро пожаловать под кат!

TDE comes in many flavors — from encryption at the TAM level to full-cluster encryption and tablespace markers. We take a close look at Percona, Cybertec/EDB, Pangolin/Fujitsu, and show where you lose performance and reliability, and where you gain flexibility.

On top of that, Vasily Bernstein, Deputy head of product development, and Vladimir Abramov, senior security engineer, will share how Postgres Pro Enterprise implements key rotation without rewriting entire tables — and why AES-GCM was the clear choice.

This world needs a new theory — a theory that could describe all the theories on the planet. A theory that could easily describe philosophy, mathematics, physics, and psychology. The one that makes all kinds of sciences computable.

This is exactly what we are working on. If we succeed, this theory will become the unified meta-theory of everything.

A year has passed since our last publication, and our task is to share the progress with our English-speaking audience. This is still not a stable version; it’s a draft. Therefore, we welcome any feedback, as well as your participation in the development of the links theory.

As with everything we have done before, the links theory is published and released into the public domain — it belongs to humanity, that means, it is yours. This work has many authors, but the work itself is far more important than any specific authorship. We hope that today it can become useful to more people.

We invite you to become a part of this exciting adventure.

How did engineers in the past manage to measure electrical power without modern microchips and DSPs? This article explores the Energomera CE6806P, a device created in 2006 for verifying electricity meters, yet built using 1980s-era technology.

We’ll take a closer look at its design, principles of operation, and how discrete-analog solutions were used to achieve high accuracy. The Energomera is a fascinating example of engineering and ingenuity, giving us a unique perspective on the evolution of electrical measurement devices.

While pg_probackup 3 is still in the works and not yet available to the public, let’s dive into what’s new under the hood. There’s a lot to unpack — from a completely reimagined application architecture to long-awaited features and seamless integration with other tools. 

Statistically, September CommitFests feature the fewest commits. Apparently, the version 18 CommitFest is an outlier. There are many accepted patches and many interesting new features to talk about.

If you missed the July CommitFest, get up to speed here: 2024-07.

Since the PostgreSQL 17 RC1 came out, we are on a home run towards the official PostgreSQL release, scheduled for September 26, 2024.

Let's take a look at the patches that came in during the March CommitFest.

Machine Learning (ML) technologies are becoming increasingly popular and have various applications, ranging from smartphones and computers to large-scale enterprise infrastructure that serves billions of requests per day. Building ML tools, however, remains difficult today because there are no industry-wide standardised approaches to development. Many engineering students studying ML and Data Science must re-learn once they begin their careers. In this article, I've compiled a list of the top five problems that every ML specialist faces only on the job, highlighting the gap between university curriculum and real-world practice. 

While video-based learning continues to rank high in the latest trends, there are a few points that are regularly overlooked in the production of learning videos, with a focus on user experience (UX) and user interaction 

People really enjoy watching videos. According to a survey conducted among consumers worldwide, respondents watched an average of 19 hours of online video content per week in 2022. And nearly half of all internet users watch online videos at least once a week.

The Challenge of Mandatory Learning
Once we had several mandatory learning courses designed to be passed successfully by all employees. Still, many of them struggled to do so. Reminder emails to all participants could not solve the issue. And that is when my team was summoned to develop a thorough plan to reduce the number of overdue courses to a minimum. Of course, we were asked to develop something fun and engaging.

Uncovering the Root Problems
While working on the project, we managed to uncover several problems with course assignments, including the fact that they were not offered just in time, there were too many of them, and all of them had different due dates, which made it impossible to remember when to complete them. Additionally, we found that the content itself was often dry and unengaging, further contributing to the lack of motivation among employees. Finally, we came up with a system of notifications that included clear explanatory reminder emails, an escalation system, and a redesign of the course content to make it more interactive and relevant to employees' daily work. The result was almost no overdue courses after system integration.

The Myth of Mandatory Fun
So the case first seemed to be about motivation and engagement, but it is actually about smart course design that allows people to worry about work tasks instead of worrying about course assignments. It's also about creating content that resonates with the learners and helps them see the value in the training.

За последнее время я вижу всё больше споров на тему двух популярных GitOps инструментов: Argo CD и Flux CD.

На самом деле я считаю такие споры необоснованными, потому что глубоко убеждён что внимания заслуживают оба инструмента и каждый из них хорош для решения своего круга задач.

В своей профессиональной деятельности я активно использую и тот и другой. Я хочу поделиться с вами своим мнением и кейсами использования. Надеюсь эта статья поможет вам выбрать наиболее подходящий инструмент под ваши нужды.

Picture this: A thriving e-commerce platform faces a constant battle against fake reviews that skew product ratings and mislead customers. In response, the company employs cutting-edge algorithms to detect and prevent fraudulent activities. Solutions like these are crucial in the modern digital landscape, safeguarding businesses from financial losses and ensuring a seamless consumer experience.

The industry has relied on rules-based systems to detect fraud for decades. They remain a vital tool in scenarios where continuous collecting of a training sample is challenging, as retraining methods and metrics can be difficult. However, machine learning outperforms rules-based systems in detecting and identifying attacks when an ongoing training sample is available.

With advancements in machine learning, fraud detection systems have become more efficient, accurate, and adaptable. In this article, I will review several ML methods for preventing fraudulent activities and discuss their weaknesses and advantages.

The end of the March Commitfest concludes the acceptance of patches for PostgreSQL 16. Let’s take a look at some exciting new updates it introduced.

I hope that this review together with the previous articles in the series (2022-07, 2022-09, 2022-11, 2023-01) will give you a coherent idea of the new features of PostgreSQL 16.

Programming textbooks usually do not indulge us with variety of examples. In most manuals, exercises are similar to each other and not particularly interesting: create another address book, draw a circle using turtle, develop a website for a store selling some kind of "necessary" advertising nonsense. Too far from the authentic imitation of "The Matrix". Although…

How about taking over the control and starting to invent exercises yourself?

Would you like to write your own personal little "Matrix"? Of course, not the one with skyscrapers, stylish phones of the time, and the ubiquitous invincible Agent Smiths. We will need a couple of more months of learning for that. But any beginner programmer can write a model of the cult splash screensaver with the green streams of digits flowing down the screen. Let's try to creat it in the "great and mighty" Python.

Unlock the power of Transformer Neural Networks and learn how to build your own GPT-like model from scratch. In this in-depth guide, we will delve into the theory and provide a step-by-step code implementation to help you create your own miniGPT model. The final code is only 400 lines and works on both CPUs as well as on the GPUs. If you want to jump straight to the implementation here is the GitHub repo.

Transformers are revolutionizing the world of artificial intelligence. This simple, but very powerful neural network architecture, introduced in 2017, has quickly become the go-to choice for natural language processing, generative AI, and more. With the help of transformers, we've seen the creation of cutting-edge AI products like BERT, GPT-x, DALL-E, and AlphaFold, which are changing the way we interact with language and solve complex problems like protein folding. And the exciting possibilities don't stop there - transformers are also making waves in the field of computer vision with the advent of Vision Transformers.

Hi everyone, a few months ago I got a Brother AX-25, and since then, I've been working on turning it into a computer. It uses an Arduino to scan the custom mechanical keyboard and control the typewriter, and a Raspberry Pi is connected to the Arduino over serial so I can log into it in headless mode.

There are new challenges that force IT companies to look for non-trivial approaches to solve the problems of their customers every year.  And as you know LANIT-Integration is not an exception. Our team has already managed to work with many products, but we never stop discovering new ones.

In this article I would like to provide an overview of backup and recovery software from Chinese vendors and to compare these solutions with domestic ones.

In our last article we made a bunch of promises about our speech synthesis.

After a lot of hard work we finally have delivered upon these promises:

• Model size reduced 2x;
• New models are 10x faster;
• We added flags to control stress;
• Now the models can make proper pauses;
• High quality voice added (and unlimited "random" voices);
• All speakers squeezed into the same model;
• Input length limitations lifted, now models can work with paragraphs of text;
• Pauses, speed and pitch can be controlled via SSML;
• Sampling rates of 8, 24 or 48 kHz are supported;
• Models are much more stable — they do not omit words anymore;

This is a truly break-through achievement for us and we are not planning to stop anytime soon. We will be adding as many languages as possible shortly (the CIS languages, English, European languages, Hindic languages). Also we are still planning to make our models additional 2-5x faster.

We are also planning to add phonemes and a new model for stress, as well as to reduce the minimum amount of audio required to train a high-quality voice to 5 — 15 minutes.

As usual you can try our model in our repo or in colab.