AI & Data Science Blog

What is Automated Data Processing?

Automated data processing went a long way from punched cards to rows of computers. It refers to processing large amounts of information with minimal manual input, then showcasing the results in a comprehensible way. What are its strong points, and where is it being used?

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A Complete Review of the OpenCV Object Tracking Algorithms

Everyone interested in computer vision applications has faced an object tracking problem at least once in their life. In this article, we will consider OpenCV object tracking methods and the algorithms behind them to help you choose the best solution in your workflow.

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BroutonLab is recognized by DesignRush as a Top 30 AI company in 2021

BroutonLab has been named as one of the Top 30 AI companies in 2021 by DesignRush. The list identifies the AI companies leading artificial intelligence research and driving innovation in the field.

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Intuitive Explanation of Meta-Learning

Meta-Learning is a rapidly developing field of Data Science. It addresses the challenges common to deep learning models, such as the need for large datasets for training and massive compute power.

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Adversarial Attacks on Deep Learning Models

Deep learning models are vulnerable to attacks from the adversary. In this article, we will consider various adversarial attacks on deep learning models as well as defense methods against them. In the second part, we will implement some attacks and hack a real neural network on PyTorch.

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An overview of Transformer Architectures in Computer Vision

In this article, we discuss topics such as adapting transformer architecture from NLP for image processing. We will explore novel vision transformers architectures and their application to сomputer vision problems: object detection, semantic segmentation, depth prediction.

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Data science experiments management with Weights & Biases platform

Each data scientist conducts many different experiments in order to find the best set of hyperparameters. In this article, we will consider the platform, which allows you to efficiently manage and log your experiments - Weights & Biases.

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Efficient Hyperparameter Optimization with Optuna Framework

Hyperparameters optimization is an essential part of machine learning and deep learning projects. Manually selecting the best hyperparameters is not easy. This is the case especially for complex models such as neural networks.

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Facial Recognition Technologies in the Era of COVID-19

This article touches upon the problem of generation synthetic dataset to solve the face recognition problem in a pandemic era. We explore both an existing approach to augment datasets by masks and proposed own. And in addition, we described the common problem of current open-source facial datasets.

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Overview of modern detectors for human pose estimation

In this paper, we reviewed three different pipelines for human pose estimation detectors, namely the most popular detectors on Github (OpenPose and Simple Pose) and a lighter weight model from TensorFlow - PoseNet (tflite).

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BroutonLab is recognized by Techreviewer as a Top Machine Learning company in 2021

BroutonLab has been named one of the top machine learning companies by Techreviewer.co. The list of leaders was compiled based on experience, quality of services, and reliability of the development companies.

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Deep Learning: What Is It and Why Is It Important for Finance?

Data science has been an essential component of the finance sector for a while now. The finance industry provides the necessary ingredient for deep learning - big data. This post will dive into the basics of deep learning, its applications, and its relation to finance.

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Top 10 Data Science Trends in 2021

New Year brings many things to look forward to. Data science is an ever-growing area full of things to be excited about.

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Data Science vs Computer Science What Is the Difference?

Some people believe that data science is more or less the same thing as computer science. In this article, we will take a closer look at the overlapping areas and the specific differences between the two.

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How to Build a Machine Learning Model for Beginners

In this guide, we will provide you with a simple overview of the steps for creating your first machine learning model.

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How do Machine Learning Pipelines Work?

Machine learning pipelines have become a core ingredient in every successful business that gets the most of its data. This guide will help you decide on how to build your first machine learning pipeline.

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How IoT and Computer Vision Revolutionize Parkings

Combining the Computer Vision and Internet of Things (IoT) to create intelligent parking solutions can solve many current problems, like traffic congestion, crowdedness, air pollution, and improve the quality of life.

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How COVID-19 Accelerates Growth of Text-to-Speech Market

Text-to-speech generation market has risen to potential during COVID-19. Powered by data science, it aims to usher into its new era. Visually impaired people and people who learn new languages heavily benefit from this technology.

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How to Summarize Medical Texts Using Machine Learning

Text summarization is the process of selecting the most crucial information from a text to create its shortened version based on a specific goal. There are two different approaches used to solve this task automatically. In this article, we will show you h

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5 Data Management Tips for Small Business

Data management for small businesses is considered challenging to handle, especially if you step into it for the first time and find tons of unsorted data generated over months. That’s why if you feel that your business is lagging behind with the data wai

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How Data Science Solutions Are Fueling Growth of Fintech

Fintech aims to compete with traditional financial methods with the power of machine learning and AI. Data science firms are becoming an integral part of Fintech and are promising a new revolution. The best way a Fintech company can enjoy these benefits i

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How to Deal With the Lack of Data in Machine Learning

Machine Learning and AI require a certain amount of data for efficient analysis, training, and performance, as if the data sufficiency lacks, it won't be possible to accomplish a reliable project. So how do data scientists deal with the lack of data?

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The Future of Machine Vision in Manufacturing

Machine vision combines camera recording with the perception of what it records. It implies many useful applications in manufacturing. From smarter robots to intelligent monitoring systems, machine vision can optimize many processes in manufacturing and d

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How artificial intelligence can improve your business processes

Artificial intelligence can elevate any organization and optimize business processes in many ways. From AI process automation to sentiment and cognitive analysis, AI is the first stop to visit if your business needs optimization.

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Artificial Intelligence Evolution: From Narrow AI to Super AI

Despite all AI advancements, it’s still in the primary stage. Today, we have narrow AI, which is an AI developed to process single tasks and take simple decisions based on data. AI evolution might lead to super AI that will be able to outsmart humans.

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How AI Can Protect Retailers and Consumers From Counterfeits

The Internet is home to counterfeiters. They rip off famous brands by selling their low-quality items under their branding. Artificial intelligence can help protect retailers and consumers. No one likes selling and buying fake products. How can AI help ev

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ANPR to Power the Development of Smart Cities

Smart cities are the future, but they wouldn’t be possible without automatic number plate recognition. ANPR uses computer vision and deep learning to recognize license plates. The benefits are many, from reinventing automated parking to aiding law enforce

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How Nanotech and AI Will Change Healthcare

Nanotechnology promises to revolutionize the healthcare industry. Working on an atomic level, it can reach areas doctors can. With artificial intelligence, the future of healthcare might look completely different.

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How Computer Vision Can Help Fight the Pandemic

There are many applications of computer vision that make it a successful tool for fighting the COVID-19 pandemic. It can help regulate social distance, and detect who is wearing a mask. Also, computer vision might change healthcare for the better in the f

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How Can 5G Revolutionize App Development?

New technologies drive app development to new limits. 5G brings faster speeds and connects more devices than ever. Such benefits are crucial for app development, and it’s interesting to see how software developers use them.

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How to Hack AI?

I presence in every sector raises concerns about machine algorithm security. Can hackers trick AI algorithms, exploit them, and circumvent all security? Among data scientists, not many are willing to talk about vulnerabilities of machine learning and AI.

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How Can AI Help Retailers Discover Why Behind the Buy?

AI uses massive amounts of data to form a decision. The retail business can benefit from AI by learning how customers think. There are many ways AI can increase profits for both physical and online stores, especially in the COVID-19 era.

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How Can Synthetic Data Solve the AI Bias Problem?

With AI making crucial decisions, a concern has appeared whether AI bias can affect women, racial and ethnic minorities, or non-straight people. The problem even occurs in major big data companies like Google and Amazon. How can Synthetic Data help resolv

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How to Find and Recruit Data Scientists Like a Pro?

There is a lot of hype surrounding terms like AI, machine learning, predictive analytics, and neural networks lately. Data science consulting companies promise to create machine learning models to solve any problem. However, how to identify "fake" data sc

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Top Three Applications of Natural Language Processing

Explore a range of natural language processing applications (NLP) in social media, recruitment, customer service and how AI-powered NLP is changing business processes.

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Advantages of Using AI in Mobile Apps Development

Artificial intelligence is already widely used in the mobile app development industry. Applications of AI in mobile apps include speech recognition, recommendation systems, voice search, intelligent character reading, and many more.

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What Is Data Science Consulting?

This article aims to uncover a holistic data science solution that will allow your business to leverage the power of AI with the least risks. Choose your direction after weighing the pros and cons to avoid pitfalls and extra costs.

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How COVID-19 Will Boost Adoption of AI-Powered OCR in Banking

OCR (optical character recognition technology) technology has been around for over 30 years. Banks were slow to adopt AI-based document digitization. The main reasons for that were lengthy approvals, security requirements, and bureaucratic constraints.

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Three Cool Applications of GANs in eCommerce

Learn how AI-empowered Generative Adversarial Networks can help you grow your eCommerce business.

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How eCommerce uses Natural Language Processing (NLP) in 2021

Every day we face an enormous volume of text and voice data. How can we systemize this information and decide on the right response? Here is where we need NLP.

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How Facial Recognition Works with Face Masks

Face recognition existed in one form or another since the 1960s. Recent technological advancements brought it to our daily lives

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Generate Text to Speech Online with Any Voice

Generative Adversarial Networks (GANs) that appeared in 2014 made it possible not only to perform image style transfer but also to generate text to speech with any voice.

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MangaGAN: generation of high quality manga images from photo

The authors suggested an interesting approach for solving of manga faces generation from photo problem.

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We won "Week of Science 2019" competition!

Dmitriy (one of our teammates) has won the scientific competition "Week of Science 2019" held by the Institute of Mathematics, Mechanics and Computer Science, SFeDU. His research work is dedicated to solving the Sky Segmentation problem. Here is an exampl

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Your first face detection program with OpenCV

A common problem in Computer Vision is the face detection, which can of course, get solved by many approaches such as Machine Learning or Deep Learning.

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BroutonLab launches free course on Deep Learning

Since the 3d week of February BroutonLab has started new course on Deep Learning. The lecturing will be performed on the Faculty of Mathematics, Mechanics and Computer Science of SFEDU (Southern Federal University, Russia).

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Creating a simple neural network in Python

Today we’ll create a very simple neural network in Python, using Keras and Tensorflow to understand their behavior.

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