In this article, we will look at a way to give the user the ability to upload any files, such as textures. And let's touch on the topic of launching JS functions from C# within Unity. As a result, we will get a script that, by calling just one function, will open a window for selecting files.
First mentions of micro service architecture application go back to the previous decade. Today this approach became the industry standard. Alexander Solyar, Lead software architect at Innotech, dives into details, shares professional insights and practical rules for working with micro services .
The present invention relates to an analog signal capturing devices generally and monochrome or color image capture sensors, such as a scanner or a Charge-Coupled-Device (“CCD”) for video and photo camera in particular, which are almost free from moiré and aliasing. The present invention relates to methods for enhancing the resolution of an image capture device and device for digital color/grey image displaying also.
This tutorial will guide you step by step in building an Android chat app in Kotlin with the help of third-party messaging SDKs. The reason I chose Kotlin for this tutorial is that - it is a lightweight programming language suggested by Google for building apps that work on Android devices.
In the steps ahead, I’ll show you how to develop an app in Android Studio, with messaging features that can integrate using SDKs. I use MirrorFly’s chat SDKs throughout this tutorial.
This technical note is devoted to covering information regarding all primary C++ programming language standards: C++03/98/11/14/17/20.
I am glad to share a technical note with some details regarding the C and all primary C++ programming language standards based on my experience and materials from the Reference Section of this document.
As of August 15, 2022, this technical note in PDF format consists of 72 pages.
So far we have covered query execution stages, statistics, sequential and index scan, and have moved on to joins.
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.
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.
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.
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.
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.
