My feed

Apple представила новые патенты в сфере виртуальной реальности Vision Pro, самый быстрый чип от Google вызвал вопросы, а у индийских фермеров возникли проблемы с CRISPR. Рассказываем в нашем дайджесте про эти и другие наиболее важные новости в сфере интеллектуальной собственности.

Grok AI is a new and exciting artificial intelligence created by xAI, a company founded by Elon Musk in 2023. It works closely with X (formerly Twitter), offering cutting-edge tools for chatting, image creation, and more. In this article, we’ll break down what Grok AI is, how to use it, and what it can do.

Automation can be an exhilarating, albeit exhausting, journey‑especially for those just dipping their toes into it. The tasks are often labeled as “interesting” or “non‑standard,” which, let”s be honest, often translates to “challenging” or even “impossible.” Among these challenges, one question halts around 50% of novice automators in their tracks: How to bypass CAPTCHA!

The robotics industry is undergoing a significant transformation, moving beyond static systems and rigid programming to dynamic, adaptive solutions powered by artificial intelligence (AI). With these advancements, robots are increasingly capable of real-time decision-making and learning, opening up new opportunities to enhance workplace safety and efficiency.

In today's digital world, where applications process increasing amounts of sensitive data, ensuring reliable user authentication is critical. Authentication is the process of verifying the identity of a user who is trying to access a system. A properly chosen authentication method protects data from unauthorized access, prevents fraud, and increases user confidence.

However, with the development of technology, new authentication methods are emerging, and choosing the optimal solution can be difficult. This article will help developers and business owners understand the variety of authentication approaches and make informed choices.

At Altenar, we often use RabbitMQ as an entry point for our products. How to protect the TCP load balancer with a ManagedSSL certificate is described further.

What if you could build an entire Web App just by describing it? Today, I'll show you how Vercel's V0 revolutionizes web development. In about 5 minutes, you'll learn how to turn text into a production-ready Web App. Let's dive in!

Gen Z – a generation of young people born between the last few years of the 20th century and the first ten years of the 21st, are the primary users of a modern-day Internet. They started using technology since their early childhood, being almost constantly glued to their smartphones and tablets, which led to them being very demanding users that have their own requirements in UX. At the same time, they are known for their sense of humor and straightforwardness – which means they love using products that are both easy to navigate but full of interactive elements. Below we’ve collected a few things you should consider when creating a UX design aimed at a young audience.

Why might a feature not get to production on time? What prevents the team from releasing before the deadline? Can the product owner influence the timeline?

In this article, I will try to answer these questions and suggest solutions for the processes we are implementing and improving within the product team at EXANTE.

In my previous article, Puppeteer CAPTCHA bypass: Tokens or Clicks? Let’s Break It Down (which I also published on Dev.to), I compared two CAPTCHA bypass methods (clicks and tokens) using Puppeteer. I also announced that in the next article (this one), I would conduct a practical comparison of the same methods using Selenium. This will complete the CAPTCHA bypass picture, so to speak. Well, let’s not waste time and get straight to the point.

In my work, I often encounter various services designed to simplify tasks across different areas. I’m not talking about tools like GSA or A-Parser but about Zennoposter or BAS. I am no professor in automation, so I’ll explain in layman's terms: these services are essentially complex, multi-layered platforms that allow the creation of bots and scripts to perform almost any task without human intervention—a sort of “basic neural network.” By the way, such services existed long before neural networks became mainstream for everyday use.

While exploring BAS, I encountered a situation where many developers creating BAS scripts (ironically, developers developing) idealize CAPTCHA solving using clicks.

SSH (Secure Shell) is the backbone of remote system administration and secure remote access, serving millions of developers and system administrators daily. However, when SSH connections fail, the cryptographic nature of the protocol can make debugging challenging. The complex interplay between authentication mechanisms, encryption algorithms, and network layers often obscures the root cause of connection issues. This complexity is further compounded by the protocol's security-first design, where error messages are intentionally vague to prevent potential attackers from gathering system information. Whether we're dealing with key authentication failures, network connectivity issues, or configuration mismatches, understanding the underlying SSH architecture becomes critical for effective troubleshooting.

In today's interconnected development world, secure authentication is not just a luxury—it's a necessity. Whether you're a seasoned DevOps engineer or a junior developer just starting your journey, understanding SSH key pairs is crucial for your daily workflow. They're the unsung heroes that keep our git pushes secure, our server access protected, and our deployments safe from prying eyes.

But let's be honest: SSH keys canbe confusing. With terms like “public key infrastructure,” “cryptographic algorithms,” and “key fingerprints” floating around, it's easy to feel overwhelmed. This guide aims to demystify SSH key pairs, breaking down complex concepts into digestible pieces that will help you make informed decisions about your security setup.

Napkin AI is an innovative artificial intelligence tool that transforms text descriptions into visual sketches and diagrams. Launched in 2023, this toolallows users to quickly convert their ideas into visual representations, similar to drawing on a napkin — hence the name. In this tutorial, I will walk you through its top features and provide a video demonstration.

When we go abroad for vacation or meet a foreigner on the street who doesn’t speak Russian but is trying to ask, “Where is the restroom? How do I get to…”, we wonder how to explain things to them in Russian in a way they would understand.

I asked myself a similar question when trying to explain something to a colleague using SQL while they were working with Java. The main goal of my work was to create a quality test model. Without it, there would be no proper regression testing later on.

I started by building a framework filling it with test cases. We held a meeting where we discussed priority of positive and negative test cases briefly. When developing the test scenarios, I used the incremental model, but as practice showed, this approach also required an iterative method. For example, it is like having the outline of the Mona Lisa first, then adding colors, painting the background, and so on.

It’s better to maintain the checklist in Excel format to add columns, write notes, and more. And let’s not forget that, as we take on the role of Leonardo da Vinci, we use different colors and get creative.

I am a manager by profession specializating in Production Management. My motivator is the Theory of Constraints (TOC) methodology, which focuses on identifying and managing the key constraint of a system to determine the efficiency of the entire system as a whole:

1. The purpose of the IT product Telepathy – the brain-computer interface of  Nueralink

The UN General Assembly Resolution of 22.03.2024 No. A/78/L.49 “Harnessing the Potential of Safe, Secure and Trustworthy Artificial Intelligence Systems for Sustainable Development” [1] confirms (paragraph 5) that"human rights and fundamental freedoms must be respected, protected and encouraged throughout the life cycle of artificial intelligence systems"and to all Member States of the United Nations and, where appropriate, In such cases, other interested parties should"refrain from using or stop using artificial intelligence systems that cannot be operated in accordance with international law or that create undue risks to the enjoyment of human rights, particularly for those in vulnerable situations,”at the same time"The rights that people have offline must also be protected online, including throughout the life cycle of artificial intelligence systems".

The artificial intelligence (“AI”) systems currently being created, tested and deployed are covered by the broader concept of information technology product (“IT product”).

In turn, the author of the term artificial intelligence, Stanford University professor John McCarthy, defined intelligence as"computing part the ability to achieve goals in the world", and AI is like"science and technology of creation intelligent machines, especially intelligent computer programs". At the same time, the same author predicts or laments that"Once this works, no one else will will not call it AI."[20]

The explicit reparameterization trick is often used to train various latent variable models due to the ease of calculating gradients of continuous random variables. However, due to its peculiarities, explicit reparameterization trick is not applicable to several important continuous standard distributions, such as mixture, Gamma, Beta and Dirichlet.

An alternative method for calculating reparameterization gradients relies on implicit differentiation of cumulative distribution functions. The implicit reparameterization trick is much more expressive and applicable to a wider class of distributions

This article provides an overview of various reparameterization tricks and announces a new Python library, irt.distributions, for sampling from various distributions using the implicit reparameterization trick.