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  In recent years, the field of machine learning has witnessed significant advancements, particularly with the development of Large Language Models (LLMs) and image generation models. Traditionally, these models have relied on p...

Intro In the first article of our mini-series on Federated Learning (FL) [Privacy-First AI: Exploring Federated Learning] we introduced the basic concepts behind the decentralized training approach, and we also presented potential ap...

As the pace of artificial intelligence innovation accelerates, we’re seeing AI and computer vision go from science fiction tropes to enabling highly efficient and compelling applications. This integration is particularly potent at the...

Over the last year we could witness an unprecedented surge in the research and deployment of new leading-edge machine learning models. Although these have already proven themselves to offer useful applications, the gains usually come ...

Remember the anxiety felt back in the 1990s after the publications of the first quantum algorithms by Deutsh and Jozsa (1992), Shor (1994), and Grover (1996). Most of us expected quantum computers to be of practical use within a decad...

Why data is expensive Data is the bedrock of any AI/ML project, and serves as the vital link between mathematical algorithms and real-world problems. And yet, we often grapple with two common data-related challenges, which are the sc...

Front-end projects are growing larger and larger. Today almost every new application is created in browsers with JavaScript technologies. Unfortunately, good architecture and well structured code were always considered less important ...

  In the modern business landscape, the quest for efficient, accurate and responsive digital interaction platforms is relentless. Companies are increasingly looking towards Large Language Models (LLMs) to enhance their customer ...

  Climate change is creating an undeniable global crisis that requires immediate action from all sectors of society. As we confront the challenges posed by rising temperatures, extreme weather events, and the depletion of natura...

Quantum computers have attracted significant attention in recent years due to their vast potential to revolutionise various scientific, industrial and computing fields. With their ability to exploit quantum mechanics phenomena such as...

The automotive industry has undergone a profound transformation over the years, with technological advancements driving innovation at an unprecedented pace. One of the most influential technologies shaping the future of vehicles is A...

Our world is experiencing rapid evolution, particularly in the realm of technology. AI stands out as one of the fastest-growing technologies, capturing the imagination not only of developers and scientists, but also of ordinary people...

The semiconductor industry stands as a driving force behind technological advancements, powering the devices that have become integral to modern life. As the demand for faster, smaller and more energy-efficient chips continues to grow...

A practical use for object detection based on Convolutional Neural Networks is in devices which can support people with impaired vision. An embedded device which runs object-detection models can make everyday life easier for users wit...

As smart home technology continues to evolve, our homes are becoming equipped with an increasing number of sensors, each capable of generating valuable data. From security systems and motion detectors to monitoring electricity and wat...

  It’s been over 20 years since Test Driven Development (TDD) was introduced to the software development community. Since that time, TDD has become a standard best practice and, more importantly, it has saved countless hours for...

  We all have that one uncle in the family who knows the answer to every question. Even if that answer is often wrong. Let’s call him Uncle Bob. From politics to science, he confidently shares his opinion on every possible topic...

Artificial intelligence is one of the fastest evolving science domains. It influences the route we take when we drive to work, how we use our phones and computers, what shopping we buy and what we will see in cinemas in the near future

Thanks to science-fiction movies and books, the general public views AI as a creature that knows everything and can solve any problem better than we humans. In this vision, there is only one type of AI, which is General AI. Although w...

                          Image generated with Midjourney API, “Quantum Computing”     The blogs so far have been based on facts and knowledg...

  Here goes a second edition of our special Christmas treat for you!   (The first one was about Santa Classification using classical Computer Vision techniques. It not only was accurate - catching even the Grinch - but al...

Application of Computer Vision in the Industrial Sector   Inventory management is a key process for all industrial companies, but the inventory process is both time-consuming and error-prone. Mistakes can be very costly, and it...

  Increasing yields has been a key goal for farmers since the dawn of agriculture. People have continually looked for ways to maximise food production from the land available to them. Until recently, land management techniques s...

  When you want to take the best possible care of your brain, certain things are recommended, such as fatty fish, vegetables, doing some brain exercises, and learning new things. But what about artificial neural networks? Of cou...

  Introduction   This is the first article in a series about Agile in the area of Data Science and Artificial Intelligence. It is necessary to explain the essentials first, before moving to more specific concepts. Especia...

    One very important part of working as a Data Scientist is often overlooked. I'm referring to the part which involves visualising data and results. You probably don't think that this is an exciting task, but let me expl...

Data is all around us, and we don't even see it.     Data Scientists usually work on projects related to well known topics in Data Science and Machine Learning, for example, projects that rely on Computer Vision, Natural ...

  What are Generative Adversarial Networks?   A Generative Adversarial Network (GAN) is a concept that was developed in 2014 by a team of distinguished researchers led by Ian J. Goodfellow. In short, we train two deep neu...

  As humans, we have a visual system that allows us to see (extract and understand) shapes, colours and contours. So why do we see every image as a different image? How do we know, for example, that a box in an image is, in real...

Autoencoders have existed in Data Science for a long time. This type of model has three sequential parts: the input layer (encoder); the hidden layer; and the output layer (decoder). It seems like a simple concept, but it is very powe...

  Nowadays, no one needs to be convinced of the power and usefulness of deep neural networks. AI solutions based on neural networks have revolutionised almost every area of ​​technology, business, medicine, science and military ...

  In the previous article, I described attention mechanisms by using an example of natural language processing. This method was first used in language processing, but this is not its only usage. We can also use attention mechani...

  For some reason, it is quite natural for people to argue with each other all the time. Wives argue with husbands. Children argue with their parents. Facebook users argue with other Facebook users. United fans argue with City f...

According to some sources, over 40% of all Internet traffic is made up of bot traffic. And we know that malicious bots are a significant proportion of current bot traffic. This article describes a number of strategies (Machine Learnin...

   The attention mechanism made big changes in deep learning. Thanks to this, models can achieve better results. This mechanism was also the inspiration for perceivers and also transformer neural networks . And transformer...