Konstantin Kotelnik, an analyst at Innotech, ponders over making technical documentation easier to understand for developers and helping the clip-thought generation work effectively with large quantities of data. Read the article to find out about the potential emergence of a graphical IT-Esperanto and the standardisation of technical language.
17-19 min read
Hi y'all, my name is Labertte and I use Arch btw.
Probably like every other Linux user, I'd like to buy a ThinkPad, put some lightweight distribution like Arch or Gentoo on it, and then
go to Starbucks, get a soy latte and tell everyone that I use "linux". But I decided to go a little different route and give a chance to my old laptop that I was using about five or seven years ago.
You all know our mascot — a unicorn — many people grew fond of him! However, PVS-Studio has a supporting character who is also the antagonist of our product — a bug! Well, a bug is not omnipresent, indestructible evil. It's more like an everyday or a work-related trouble. In this article, you'll learn how we created a new character, and why he looks like a ladybug. Oh, and if you wonder why the hell he has a belly button — keep reading!
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.
FL_PyTorch: Optimization Research Simulator for Federated Learning is publicly available on GitHub.
FL_PyTorch is a suite of open-source software written in python that builds on top of one of the most popular research Deep Learning (DL) frameworks PyTorch. We built FL_PyTorch as a research simulator for FL to enable fast development, prototyping, and experimenting with new and existing FL optimization algorithms. Our system supports abstractions that provide researchers with sufficient flexibility to experiment with existing and novel approaches to advance the state-of-the-art. The work is in proceedings of the 2nd International Workshop on Distributed Machine Learning DistributedML 2021. The paper, presentation, and appendix are available in DistributedML’21 Proceedings (https://dl.acm.org/doi/abs/10.1145/3488659.3493775).
The project is distributed in open source form under Apache License Version 2.0. Code Repository: https://github.com/burlachenkok/flpytorch.
To become familiar with that tool, I recommend the following sequence of steps:
Once the Teacher asked the Author:
Are there methods of redundancy introducing at an informational level, other than those that are studied by the theory of error-correcting codes? Emphasizing that he is talking about information redundancy, the Teacher thus made it clear that the question does not imply various ways of energy redundancy introducing, which are well studied in communication theory. After all, the noise immunity of information transmission is traditionally assessed by means of a threshold value that is calculated as the ratio of signal energy to noise energy. It is known that the methods of the theory of error-correcting codes offer an alternative solution, allowing energy saving.
After a cogitative pause, the Author answered in the affirmative, following intuition rather than rational knowledge. Upon hearing the answer, the Teacher noticed that this is a wrong conclusion and there are no such methods.
However, over time, the Author began to suspect that the immutability of the paradigm formulated above could be questioned.
Not even a week later, news emerged that the blow to women's rights might come from an unexpected (for naive Americans who are not familiar with the «Yarovaya Package» and other niceties of Russian legislation) side, when the willingness to «leak» personal data even without a decision was confirmed by the developers of major applications for women. Thus, suddenly, own gadgets and all the IT infrastructure that surrounds the modern man for his convenience, suddenly showed its downside: the possibility of total control over human life and actions.
Testing is one of the key processes in development. However, without analysis it is tough to say how effective testers really are. Innotech’s lead tester-engineer Pavel Petrov shared a number of metrics that are being used in project work.
Creating a product startup can be an exciting experience, but it can be a daunting one as well. On average, only 1 out of 10 startups is successful, according to the Global Startup Ecosystem Report. Therefore, to raise your prospects, there are quite a number of important considerations to make in advance.
Bearing in mind everything you need when launching a startup is a challenging task, so it’d be a sound idea to rely on some well-established methodology. That's why we were inspired by the Systems Engineering methodology, presented in such industry standards as ISO 15288 and CFR21. In this article, we’ll make a brief overview of this methodology and highlight how it can help entrepreneurs to encompass and structure the process of creating and developing a startup.
The second quarter of the year has ended and, as usual, we take a look back at the mitigated DDoS attacks activity and BGP incidents that occurred between April and June 2022.
A tester is one of the most stressful roles in IT. You constantly need to be concentrated and report bugs to developers in your team. Lidiya Yegorova, Innotech’s “Scoring conveyor” team QA-Lead shared her practices on how to minimize the stress while testing.
Problems of multithreaded servers with blocking I/O
Author: Denis Zherdetskiy
I know that my article can help a designer who spends a lot of time working and not feeling his or her growth. This article has some tips on how to start building your soft skills.
Alexander Volchek, IT entrepreneur, CEO educational platform GeekBrains
Pretty much everyone in the IT community is talking metaverses, NFTs, blockchain and cryptocurrency. This time we will discuss metaverses, and come back to everything else in the letters to follow. Entrepreneurs and founders of tech giants are passionate about this idea, and investors are allocating millions of dollars for projects dealing with metaverses. Let's start with the basics.
Explaining through simple examples
For a long time, people have been thinking on how to create a computer that could think like a person. The advent of artificial neural networks is a significant step in this direction. Our brain consists of neurons that receive information from sensory organs and process it: we recognize people we know by their faces, and we feel hungry when we see delicious food. All of this is the result of brain neurons working and interacting with each other. This is also the principle that artificial neural networks are based on, simulating the processes occurring in the human brain.
What are neural networks
Artificial neural networks are a software code that imitates the work of a brain and is capable of self-learning. Like a biological network, an artificial network also consists of neurons, but they have a simpler structure.
If you connect neurons into a sufficiently large network with controlled interaction, they will be able to perform quite complex tasks. For example, determining what is shown in a picture, or independently creating a photorealistic image based on a text description.
Over our many years of experience in security awareness and experimentation with learning approaches (e.g. online adaptive platforms, interactive workshops and even VR simulations), we’ve noticed that even if the material is presented in a highly engaging way, people still lack the opportunity to apply the knowledge in practice. This means that although they are taking in the information, it won’t necessarily be applied.
1) OpenTracing (OT) != Logs but they are very similar.
2) Every application has 2 types of scopes: ApplicationScope (AScope) and RequestScope (RScope).
This is an article that describes my vision of building a system that actively uses Go as the main programming language and SOA/microservices as a design paradigm.
Here I will try to cover 4 chapters that together allow us to build a solid and reliable system.
Conference participation is one of the most important practices for professional development. Hence, Innotech is actively sending out both its speakers and listeners for the biggest events. Senior Analyst Anastasia Kochetova shares her impressions from the Analyst Days/14 conference.
In this article, we shall provide some background on how multilingual multi-speaker models work and test an Indic TTS model that supports 9 languages and 17 speakers (Hindi, Malayalam, Manipuri, Bengali, Rajasthani, Tamil, Telugu, Gujarati, Kannada).
It seems a bit counter-intuitive at first that one model can support so many languages and speakers provided that each Indic language has its own alphabet, but we shall see how it was implemented.
Also, we shall list the specs of these models like supported sampling rates and try something cool – making speakers of different Indic languages speak Hindi. Please, if you are a native speaker of any of these languages, share your opinion on how these voices sound, both in their respective language and in Hindi.