Artificial Intelligence

Object detection is one of the most common use cases for computer vision. There are many methods of dealing with this problem, but increasingly often, neural networks are used. To achieve high performance, deep neural ne (...)

Steve Jobs unveiled the first iPhone on January 9, 2007, which is often considered the beginning of the mobile revolution. This event opened a new area for digital content creators. However, the problem was that most CMS (...)

The first content management systems (CMSs) replaced the handcrafted HTML-based websites as early as the ‘90s of the last century. At that time, the versatile CMSs of today were not even dreamt of by the owners of these (...)

Over the past few years, the field of Computer Vision has been flooded with various Deep Learning techniques, which focus on utilizing Deep Neural Networks. While this approach often seems to be the most effective, peopl (...)

Optimization is hard. Often, all that's known about a challenge is the desired outcome, but not the way to get there. In this post, we'll look into solving non-trivial problems automatically with the use of the hyperopt (...)

Controlling the quality of large volumes of training data is a complex and time-consuming task. In this post, we'll look into the problem of using noisy data in machine learning from an unconventional perspective - by ma (...)

Calibration is important, albeit often overlooked, aspect of training machine learning classifiers. It gives insight into model uncertainty, which can be later communicated to end-users or used in further processing of t (...)

Have you ever wondered if deep learning is for you? You feel that you don't know math enough to understand what it is about or thought you need a supercomputer to train neural networks? Well, it's not entirely true. Some (...)

Automated video analysis is especially interesting from the perspective of modern branding, advertising, and bias-free communication. Microsoft Video Indexer can identify and tag some popular physical objects. We propose (...)

Artificial Intelligence and Machine Learning are commonly used in advanced analysis of graphic materials. Autonomous cars, face recognition and detection of objects are some of many examples that those methods can be use (...)

The demand for machine learning has been growing constantly over the years. Despite more and more people getting interested in this field, the supply of experts seems to still be lagging behind. In this blogpost, we'll u (...)

The main purpose of Azure Custom Vision is to help the image prediction process. Check out how to create a basic integration with Video Indexer service using Java in order to enhance it even more. (...)

No computer system is infallible. When something goes wrong, syslogs are often the first place to look at while diagnosing the issue. With systems growing more and more complex, analyzing millions of log entries has beco (...)

Azure Cognitive Services help to build intelligent applications without having AI or data-science knowledge. What if you want to take it even further? Building a custom image classification model and fitting your unique (...)

Whether we like it or not, artificial intelligence is one of the fastest-developing areas of IT and AI applications can be easily found in more and more areas, both in our professional and private lives. (...)

IT has been constantly evolving since the first program was implemented on a punch card. Each new solution is simpler, more precise or more general. Weak Artificial intelligence techniques are currently widely used in ga (...)

Whenever people discuss the future of civilisation, sooner or later commonplace topics such as politics, the world economy and fashion are left behind in favour of two words that speak volumes to our imaginations, hopes (...)