Development

OpenStreetMap (OSM) is a global project formed around a geographic information database which is being filled by all comers — both enthusiasts and interested companies. Anybody can contribute, but the openness has its downside: incorrect edits often get into the database. Hence plenty of validators of OSM data have been written which allow to maintain the data quality at an acceptable level.

Since 2016 there exists an open source subway preprocessor that validates (generates error reports) rapid transit routes in OSM for completeness and logical/topological errors, and converts them into formats that are suitable for routing and rendering, e.g. GTFS. Besides OSM data it takes a list of public transport (PT) networks which contains the checking information about the number of lines, stations etc. per a PT network. The preprocessor has successfully proven itself in the preparation of PT data for applications such as Maps.me and Organic Maps.

In this article, I would like to share an approach to detecting one of the types of errors that occur quite often in OSM data and automatic detection of which is somewhat challenging. It's an accidental loss of a station from a route. The source code of the validator and the described algorithm are open source. But first, let's define the concepts used to represent PT data in OpenStreetMap.

Issues of cooperation in the field of regulation of computing power, joint insurance of AI products, and determining the social status and protection of persons with a hybrid nervous system (hybrid people) 

Dear Colleagues and Friends,

In furtherance of the discussion on the topic of "Key technology policy issues will be grappling with in 2025", let me outline some mullings at the intersection of the theory and practice of computer science, law, and neuroethics.

«Our society and thus each individual has the possibility to (help) decide how the world, in which we want to live with artificial intelligence in the future, should look. Philosophy, law, and technology play a central role in the discourse that has to be conducted for this purpose» (from Fraunhofer IAIS’s report «Trustworty use of AI»).

 Essential idea of that proposals - drawing from the deep technical expertise of the computing community, to provide to policy leaders and stakeholders nonpartisan theses on policy gaps in the field of neuroethics, development and implementation of ML/AI tools. It is preferable that this regulation be a harmonious symbiosis of legal norms both at the state level and at the level of socially responsible professional communities.

The approach mentioned in paragraph 6.2 of The CEN-CENELEC Focus Group Report: Road Map on Artificial Intelligence (AI) and, in fact, focused on autonomous self-regulation of AI tools (systems) seems inappropriate to current risks and treats: “An alternative approach is that the system itself ensures that modifications of its functionality due to self-learning have no negative impact on assessment topics like safety or fairness”.  Further, in the same place, the potential ineffectiveness of the certification system for AI tools is actually recognized: “For artificial intelligence systems that learn as they are used, the problem is that the behavior of the system changes continuously and will require a new conformity assessment each time.”

Every SEO professional has encountered CAPTCHA. If not, they are either not professionals, misunderstand the term SEO (possibly confusing it with SMM or CEO), or are very new to this challenging field.

One could endlessly deny and argue that CAPTCHA is overrated and does not deserve significant resources. But these arguments end the moment one needs data from a search engine result page, like Yandex, without knowledge of XML requests… Or, say, a client wants to scrape the entire Amazon (just because they do) and offers good pay...

So let’s talk about the word yes.  Another way to say it is that, we need to give some positive statements to make a sale. 

I said, in the last article that Russians and Eastern European people are much more reserved with giving the answer of yes. So in this culture, it is normal to wait to have more facts about what the work will be for giving a positive answer. But this creates real problem and an absolute block when it comes to selling your IT software and project development to western cultures!

Let’s break this down into understandable pieces. 

In the world of blockchain, where the word "gas" is most often associated not with gas stations, but with fees for transactions in Ethereum, the search for ways to minimize these costs is becoming increasingly relevant. Less heartache for an empty wallet and more time to solve really important issues... for example, what to cook for lunch =)

Similar to the epic Batman vs Superman battle, compare GSN and Account Abstraction. As in any superhero story, each of them has its own unique abilities and disadvantages, which we will look at in detail.

Imagine: you've just created an incredible decentralized application, and it's so cool that even your grandmother wanted to try it. But once users are faced with the need to pay a commission, the entire UX (User Experience) rapidly slides down like a ball down a slide. Blockchain promises a bright future in which decentralization, transparency and security are our best friends, and it makes us pay for daily operations. Imagine if you had to pay every time you like on social networks or send a message in a messenger. It's terrible, isn't it? But dApps users face something like this every day.

But now, like a prince on a white horse, GSN (Gas Station Network) appears. With its help, developers can make their applications gas-less, and users will finally be able to forget about commissions like a nightmare.

In this article, we will look at what GSN is, how it works, and how to implement it into your projects to please users.

In today's world, where businesses increasingly rely on effective communication, cloud technologies offer a wide range of solutions to optimize interactions both within the company and with customers. Three of the most popular options are UCaaS, CCaaS, and CPaaS. While they all fall under the umbrella of cloud communications, their functionality and applications differ significantly. Let's delve into the details.

UCaaS (Unified Communications as a Service)

UCaaS unifies various communication channels, such as voice calls, video conferencing, messaging, and email, into a single platform. This allows employees to easily communicate and collaborate with each other, regardless of their location.

Benefits of UCaaS:

Firebase Performance offers a free, comprehensive solution for tracking app performance. As part of the Firebase suite, it provides seamless integration with other Firebase services like Crashlytics, making it easier to manage all performance and crash data in one place. This not only simplifies access but also streamlines team collaboration without the need to manage multiple platforms.

While in 2024 using XML looks a bit outdated, it still happens. And sometimes it happens we are to deal with XML having "free-structure", i.e. it couldn't be parsed into tree of user-defined structs. For JSON there still is a way to parse it with a single call into map[string]any and work with it using careful type assertions. Regretfully, there is no similar feature for XML (in Golang). Here I'll draft suitable function and demonstrate it - both for others and for myself if I ever need this again (recreating it from scratch may be somewhat painful).

CAPTCHA is not just a single word that can be defined; it's an acronym consisting of nine words (and two prepositions): Completely Automated Public Turing Test To Tell Computers and Humans Apart. This mouthful was shortened to the concise CAPTCHA to avoid creating yet another hard-to-pronounce term. Translated into Russian, this abbreviation sounds like "Полностью автоматизированный публичный тест Тьюринга для различения компьютеров и людей" (Fully Automated Public Turing Test to Differentiate Computers and Humans).

Wilhelm Röntgen discovered X-ray November 8th 1895, when he did experiments with cathode rays in a vacuum tube. To capture and save images of the shadows from the X-rays, he used ordinary photoplates. Fortunately, sensitive to visible light silver based photoemulsions turned out to be sensitive to the X-ray too. These photoplates became the first X-ray detectors.

More than 100 years of scientific progress led to the creation of a number of various detectors for recording X-ray images. Developments of the microelectronics and semiconductor manufacturing technologies are crucial for development of the modern X-ray detectors. These detectors can transform the energy of the X-ray photon directly to the electrical signal. They allow capturing detailed, digital, high-resolution X-ray images.

Digital images are easy to work with. For example one can merge multiple macro images into an image of the whole object and represent monochrome images in false colors like Simon Procz did with this X-ray image of a flower he did in 2012.

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.

Did you know that coding tools have evolved so rapidly that they're now shaping the future of programming itself? As technology advances, platforms like Replit are leading the charge, making coding more accessible and collaborative than ever before. In this article, I'll show you what Replit is and how to use it.

Hi all! The dev.family team is in touch. In this article, we are sharing a short guide on how to install Splash Screen in a cross-platform app written in React Native with support for multiple themes.

Splash screen is the first screen that users see before loading into the main application. This screen is perhaps the best way to make the name of your app, and in general, its entire name, more memorable.

But this is not the main role of the splash screen. Under it, for example, you can hide receiving data from the API and loading the main application. We do this when we show the loader on the screen when loading the same data. This allows you to improve the UX and immediately demonstrate the finished application to the user. And as a result, remove the extra loader when opening it for the first time.

In this short guide, we will look at installing splash screens for iOS and Android using the react-native framework using the react-native-splash-screen library.

Today, we'll explore Cursor AI. Whether you're an experienced developer or a beginner, this article will be helpful because this tool will change how we code.

Recently I have bought starfive visionfive-2 SoC for my own experiments, honestly speaking
I am striving to work with risc-v. After some time I decided to share my experience. Here my bulletpoints:

Small preparation USB-to-Serial connector Write image to microSD/SSD Set boot mode settings

Boot Update bootloader Build kernel Native build Pod build Cross-build on amd64: fast and handy

Chroot to risc-v system from amd64 and install packages

Bonus 1: run qemu with risc-v

Bonus 2: build deb packages for risc-v

Bonus 3: kernel build script

Conclusions

Over the past two years, artificial intelligence has become one of the main topics in the media and many famous people have expressed their thoughts on this topic. But if you start searching on the Internet for collections of quotes about AI, you will mostly find quotes from CEOs of multi-billion dollar companies, futurists and scientists conducting research in this field. Moreover, these collections are so similar to each other, which sometimes gives the impression that they were compiled by AI. In this article, I have collected quotes from world famous people who are usually not included in such collections of quotes:

How to bypass reCAPTCHA v2/v3: Automatically solve and pass Google reCAPTCHA using Python and Selenium, Puppeteer, Javascript, PHP

Are you tired of writing messy and unorganized code that leads to frustration and bugs? You can transform your code from a confusing mess into something crystal clear with a few simple changes. In this article, we'll explore key principles from the book "Clean Code" by Robert C. Martin, also known as Uncle Bob, and apply them to Python. Whether you're a web developer, software engineer, data analyst, or data scientist, these principles will help you write clean, readable, and maintainable Python code.

My name is Paul Karol and I work as a director in a Russian IT company that mostly sells their products in the international market.

I have been deeply involved in a project and I haven’t had time to write here lately.  

But out of this work came an understanding of two very large Mistakes that are being made that prevent your pre-sales from succeeding. 

I’m going to go into deeper detail on each one of these issues in the next articles, but I will introduce them here now.

Let me make you a promise….. if you correct these two issues, your software and development projects will sell.  

**I have a proven track record. If these areas are fixed the company begins to sell 150 % more than they’ve ever sold in the past. 

150% more profits!