Microgaming is justly considered a founding father of the online gambling industry as it created the world’s first online casino platform back in 1994. And the first mobile casino was launched in 2004, again by Microgaming. Over the years, the brand’s legendary casino products have gained a high-profile reputation.
For the past two years, there’s been a lot of buzzing about the Internet of Things (IoT). This has to lead to the rapid selection of connected devices over industries and is determined to pass the 11 billion mark by the end of the year. Major Companies including IoT software development as their major services.
All these “things” are now creating their things, namely, lots and lots of data. This data will be at the core of commercial and industrial digital transformation (which is essentially the underlying force behind the fourth industrial revolution).
In other words, life as we know it is about to change forever! How is it going to change? Let’s take a look.
1. AI (Artifical Intelligence) can Effectively Manage Oceans of information
We can’t talk about IoT without AI as the latter has the power to make IoT a whole lot smarter and more efficient.
In fact, consultants believe that AI is the brains behind IoT systems that may facilitate build them run power tool.
For example, as more and more connected devices start communicating with each other, enterprises will need to leverage deep learning, image recognition, natural language processes, and neural-network driven decisions to help them understand each other (and us humans) better.
So far, we can say that IoT has felt like an isolated experience where it was just about simple data. Going forward, businesses will strive to achieve highly integrated experiences by using AI to better understand their employees, customers, and the general public living in smart cities.
Surely you've heard the expression «bug hunting» many times. I dare to assume, you won't mind earning one or two hundred (or even thousand) dollars by finding a potential vulnerability in someone's program. In this article, I'll tell you about a trick that will help analyzing open source projects in order to find such vulnerabilities.
There’s a problem we needed to address in the course of developing our games. It’s complicated to generate a random number in a distributed network. Almost all blockchains have already faced this issue. Indeed, in networks where there is no trust between anyone, the creation of a random number solves a wide range of problems.
In this article, we explain how we solved this problem for our games. The first of these was Waves Xmas Tree.
Many programmers struggle when using formal methods to solve problems within their programs, as those methods, while effective, can be unreasonably complex. To understand why this happens, let’s use the model checking method to solve a relatively easy puzzle:
You’re in a hallway with seven doors on one side leading to seven rooms. A cat is hiding in one of these rooms. Your task is to catch the cat. Opening a door takes one step. If you guess the correct door, you catch the cat. If you do not guess the correct door, the cat runs to the next room.
Managing your competition is an important skill that you need to have as a company. The management of competition can either be done by letting go of a market because it is too much to handle. You can also consider either selling yourself to a competition in a particular local market or acquiring them. Different companies adopted varied strategies according to the moment’s and the market’s demands.
Focus on Uber
Uber needs no introduction as a corporate or as a service provider. It has become synonymous with on-demand cab services and is slowly progressing towards providing many other services in the same fashion.
The phrase ‘Let's book an Uber’ has become common. In a decade, Uber has gained the status of a monopoly and has marked a prominent presence in more than 70 countries ever since its inception in 2009. However, it hasn't always been a bed of roses for Uber.
Uber has faced a lot of legal issues, some of them because of the legislature of the country, local drivers and passengers.
And our homeland's pushing us For reaching knowledge higher heights.
The available and interesting literature on science is a magic wand that helps the progress not to slow down and move forward. Thanks to interesting science literature, children begin to study voluntarily and with interest, while adults expand their horizons and do not allow the brain to relax. Biology, astronomy and mathematics supplant the saga about the elves and intergalactic ships. But while Western countries' nonfiction was always in smooth progress from Jules Verne to Eliezer S. Yudkowsky, then opposite it experienced both ups and downs in Russia.
Magento is an open-source PHP based platform for building e-commerce solutions. Built by the Magento company (now part of Adobe), it is used by over 350,000 developers all over the world. It enables the creation of highly customizable digital storefronts for Business-to-Customer and Business-to-Business purposes. Magento 2, the transformed version of the Magento E-commerce Platform, comes with brand new architecture, coding structure, and database design.
a) General overview
Magento’s platform is built upon PHP and MySQL. During its lifetime of 10 years (the version 1.0 released in March 2008 and the version 2.0 in November 2015, it has undergone changes in terms of structure and development patterns and is now in its second major version, Magento 2.
Magento’s structure is comprised of two main parts, one being the back-end, with the database and MySQL, and Model, Data and Service interfaces, as can be seen in figure 3. These are directly connected and used in Magento’s Blocks, Layouts, and Templates, which would be defined as the front-end of the application.
This is an English-language summary of two absolutely outstanding articles written by Vitaliy Malkin from «Informzashita» whose team, True0xA3, became the winners of the prestigious black hat competition The Standoff during Positive Hack Days 9 in May of 2019.
Vitaliy has published three detailed articles on Habr, two of which were dedicated to the description of the strategies that True0xA3 team used before and during the competition to secure this team the title of the winners. I felt that the only thing that those two articles were lacking was a summary in English so that a wider audience of readers could enjoy them. So, below is the summary of two articles by Vitaliy Malkin, together with images Vitaliy published to clarify his points. Vitaliy has OKed me doing the translation and publishing it.
There’s a lot of IoT SCADA solutions for factories and other manufacturing needs. Yet, there are cases (and quite a lot), when you need to develop your own SCADA system to cover specific needs of your project.
We often use awesome Qt framework for implementing complex IoT solutions. For a bunch SCADA and SCADA-like projects, we came across the need for quick tool for developing device dashboards. That’s why we developed super lightweight unofficial Qt library. The library is open source, customizable, and free to use under MIT license. We also share a small set of developed widgets.
When mulling over the best programming language to use for data science, Python and R ring a bell (very quickly). While there are a lot of languages like C, C++, Java, Julia, Perl, and Scala, it's protected to state that Python and R are the harbingers in data science.
While a great deal of data researchers will discuss the customary shortcomings like data wrangling in R or data representation in Python, ongoing improvements like Altair for Python or R have adequately reacted to these shortcomings.
So which one would it be a good idea for you to decide for your next data investigation venture?
R has been ruling this space for a long time now. This bodes well as this programming language was explicitly intended for analysts.
A few months ago I came across one interesting open source project on the Internet — Openpose the aim of which is to estimate a human pose in real-time on a video stream. Due to my professional activities, I was interested to run it on the latest iOS device from Apple to check the performance and figure out if it is possible at all. It was also interesting to see how the performance of the neural network framework for iOS has been changed in the last years.
Whether you are a project management guru or just a beginner, you’ve definitely heard about Gantt charts. At first sight, these diagrams might seem chilling and complicated, however, they are not as mystifying as you may think.
Gantt Charts assist project managers and their teams to improve their productivity and efficiency of workflows and ensure timely tasks execution. The charts can be applied to small projects and the most complex ones. What are the secrets of the diagrams developed by Henry Gantt and what people in project management used before they were created?
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 Mountain View, we meet Aubrey de Grey, again! For those of you who are not familiar with him, here is a brief introduction.
Some time ago, the creator of Lua programming language, Roberto Ierusalimschy, visited our Moscow office. We asked him some questions that we prepared with the participation of Habr.com users also. And finally, we’d like to share full-text version of this interview.
Figure 1: Top 10 programming languages hosted by GitHub by repository count
One of the necessary challenges that GitHub faces is to be able to recognize these different languages. When some code is pushed to a repository, it’s important to recognize the type of code that was added for the purposes of search, security vulnerability alerting, and syntax highlighting—and to show the repository’s content distribution to users.
Linguist is the tool we currently use to detect coding languages at GitHub. Linguist a Ruby-based application that uses various strategies for language detection, leveraging naming conventions and file extensions and also taking into account Vim or Emacs modelines, as well as the content at the top of the file (shebang). Linguist handles language disambiguation via heuristics and, failing that, via a Naive Bayes classifier trained on a small sample of data.
Although Linguist does a good job making file-level language predictions (84% accuracy), its performance declines considerably when files use unexpected naming conventions and, crucially, when a file extension is not provided. This renders Linguist unsuitable for content such as GitHub Gists or code snippets within README’s, issues, and pull requests.
In order to make language detection more robust and maintainable in the long run, we developed a machine learning classifier named OctoLingua based on an Artificial Neural Network (ANN) architecture which can handle language predictions in tricky scenarios. The current version of the model is able to make predictions for the top 50 languages hosted by GitHub and surpasses Linguist in accuracy and performance.
The most important single ingredient in the formula of success is knowing how to get along with people. Theodore Roosevelt
In the previous article I tried to cover the basics of pricing analytics. Now I'd like to talk about something more interesting.
Have you ever thought about why you choose certain products in stores, why you prefer them to other similar ones? Many shopping trips are spontaneous, so it's probably impossible to give a clear answer for all the times you go shopping. But the general idea is obvious: you go shopping for a specific reason (to get food, a gadget, for entertainment, to play blackjack). In this article I'm going to use available data from grocery retailers to talk about how a set of basic logical assumptions and community analysis can help us determine the way customers choose products.
In today’s contemporary world the private computer has become a staple of daily life.
Even those few persons who don't use computers in their daily work life can possibly have access to a computer on that they perform alternative necessary tasks.
With all of the access to info that computers permit and with all of the work they will facilitate a personal perform, this trend of a computer in every home and in each workplace of business isn't shocking.
But what may be shocking, and downright aggravating, is when the computer you are working on suddenly shuts off, goes blank, or explodes in the dreaded blue screen of death.
These and other common computer problems are among the most frequently occurring issues that one might experience with their computers.
The following may be a list of 5 common Computer issues and what may be done to mend them.
«It's a dangerous business, Frodo, going out your door. You step onto the road, and if you don't keep your feet, there's no knowing where you might be swept off to.»
― J.R.R. Tolkien, The Lord of the Rings
Europe’s roads are the safest in the world. Current figures show that there are 50 fatalities per one million inhabitants, compared to the global figure of 174 deaths per million. Despite this, each loss remains a tragedy. In 2017, 25,300 people lost their lives on European roads.
The cause of these accidents can vary from human error and weather conditions, to damaged structures and surfaces. While some things are beyond the realms of control, road and bridge conditions are a variable which can be governed.
As soon as a road is paved, a combination of traffic and weather conditions begin to degrade and erode the surface. Undetected cracks, abrasions or defects can quickly lead to bigger problems, such as costly repairs, major traffic delays, and in the worst cases, unsafe condition. These problems are also shared by bridges, particularly when concrete is critical in maintaining the integrity of the structure. The earlier faults are detected, the sooner they can be addressed, saving time and money, while minimising disruption. Ultimately, this helps ensure that the roads themselves are safer for those travelling on them.
The detection of these faults, however, can be very difficult to carry out manually, especially as early-forming cracks are hard to spot with the naked eye. Predicting where faults are likely to occur ahead of time so that appropriate measures can be taken in advance also possess a massive challenge. Thankfully, technology is here to help.
Kevin Scott, CTO at Microsoft once said: «This book should be required reading for software engineers. Designing Data-Intensive Applications is a rare resource that connects theory and practice to help developers make smart decisions as they design and implement data infrastructure and systems.»
Martin’s main research interests include collaboration software, CRDTs, and formal verification of distributed algorithms. Previously he was a software engineer and an entrepreneur at several Internet companies including LinkedIn and Rapportive, where he worked on large-scale data infrastructure.
Vadim Tsesko (@incubos) is a lead software engineer at Odnoklassniki who works in Core Platform team. Vadim’s scientific and engineering interests include distributed systems, data warehouses and verification of software systems.
Moving from business to academic research;
Discussion of «Designing Data-Intensive Applications»;
Common sense against artificial hype and aggressive marketing;
Pitfalls of CAP theorem and other industry mistakes;
Benefits of decentralization;
Blockchains, Dat, IPFS, Filecoin, WebRTC;
New CRDTs. Formal verification with Isabelle;
Event sourcing. Low level approach. XA transactions;