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StarCraft: Brood War. This game means so much to me! And to many of you, I guess. So much, that I wonder if I should even give a link to its page on Wikipedia or not.

Once Halt sent me PM and offered to learn Rust. Like any ordinary people, we decided to start with hello world writing a dynamic library for Windows that could be loaded into StarCraft's address space and manage units.

The following article will describe the process of finding solutions and using technologies and techniques that will allow you to learn new things about Rust and its ecosystem. You may also be inspired to implement a bot using your favorite language, whether it be C, C++, Ruby, Python, etc.

It is new selection of tips and tricks about Python and programming from my Telegram-channel @pythonetc.

Today is an important day — after 28 releases of the sixth version we present our PVS-Studio 7.00, in which the key innovation is the support of the Java language. However, during 2018 we have acquired many other important changes related to C++, C#, infrastructure and support of coding standards. Therefore, we bring to your attention a note that sums up the major changes that have happened in PVS-Studio for the last time.

This is the first post in our blog in 2019. And this is important for all of us: we are finally launching the English version of Habr! Actually it was ready in the middle of December, but — you know — releasing a new feature right before Christmas is like deploying on Friday afternoon. So we decided to do it in the beginning of 2019.

Introduction

Our project implements a real-time edge detection system based on capturing image frames from an OV7670 camera and streaming them to a VGA monitor after applying a grayscale filter and Sobel operator. Our design is built on a Cyclone IV FPGA board which enables us to optimize the performance using the powerful features of the low-level hardware and parallel computations which is important to meet the requirements of the real-time system.

We used ZEOWAA FPGA development board which is based on Cyclone IV (EP4CE6E22C8N). Also, we used Quartus Prime Lite Edition as a development environment and Verilog HDL as a programming language. In addition, we used the built-in VGA interface to drive the VGA monitor, and GPIO (General Pins for Input and Output) to connect the external hardware with our board.

Introduction

As first-year students of Innopolis University, we had an opportunity to make our own project in computer architecture. University suggested us several projects and we have chosen to make a stack-based calculator with reverse polish notation. One of the requirements for the project is to use FPGA board provided by the university.



As our board, we have chosen Cyclon IV. Therefore, we had to write code on hardware description language. In the course we have studied Verilog, so we have chosen it. Also, the university has additional modules for FPGA, such as numpad, thus we decided to use it in our project.

In this article, we want to share our knowledge about FPGA and Verilog, also provide you with a tutorial to repeat our project.

When you study an abstract subject like linear algebra, you may wonder: why do you need all these vectors and matrices? How are you going to apply all this inversions, transpositions, eigenvector and eigenvalues for practical purposes?

Well, if you study linear algebra with the purpose of doing machine learning, this is the answer for you.

In brief, you can use linear algebra for machine learning on 3 different levels:

• application of a model to data;
• training the model;
• understanding how it works or why it does not work.

Пользователи Lokalise могут выбирать, локализовать им свой продукт с привлечением наёмных переводчиков площадки, с собственной командой или исключительно своими силами. Именно для упрощения процедуры локализации тех проектов, где профессиональные переводчики не нужны и достаточно собственных знаний языка, мы и предоставляем нашим пользователям возможность использовать встроенные в Lokalise популярные системы машинного перевода от Google, Yandex, Microsoft и SDL. О том, как переводят эти системы, мы сегодня и поговорим на конкретных примерах.

Google Machine Translate/Google Neural Translate

Около полугода назад компания Google заявила о подключении очередного набора языков к нейронной сети своего сервиса Google Translate, в том числе и русского. Событие это стало знаковым для всего русскоязычного интернет-пространства: ежедневно тысячи человек пользуются встроенным в Chrome переводчиком Google или идут на сайт Google Translate за переводом иностранного текста на родной язык.