Image recognition has been a topic on our blog a few time before. It’s a technology that has not stopped gaining popularity for some time now, and we wanted to take a look at what other interesting and even non-conventional ways image recognition makes a difference in different industries today. Image Recognition in Healthcare Do…
Are we heading towards the future of machines that learn and perform all by themselves? With the recent advancements in deep learning, it may seem so, but some experts disagree. Human-in-the-Loop approach to machine learning is gaining popularity as the best approach to training more accurate models. What value can it bring to a machine…
“How can we ensure the success of our machine learning project?” Your business has asked this questions. Your competitors have asked this question. Unfortunately, there is no straightforward answer, but a good candidate could be feature engineering. Some data scientist described it as a bottleneck, other as a superpower. Either way, all of them agree…
Computer vision software is changing industries and making the lives of consumers not only easier but also more interesting. As a field, computer vision has received a lot of publicity and a decent amount of investment. The North American market for computer vision software has had a total investment of $120 million USD, while the…
The last decade has been a good one for face recognition technology. Although it has existed since the 1960s, any large-scale attempts to successfully implement it failed. The main reason being that it lacks precision and scalability. Everything changed in the late 2000s. In 2011, both the Pinellas County Sheriff’s Office and Panama’s Tocumen airport…
The concept of the semantic search was first introduced in already in 1998, but it remained mostly a theoretical concept until 2012 when Google, Facebook and Bing started launching their own products using semantic search. Two trends pushed semantic search from concept to reality: an increase in long tail searches and a demand from users…
Predictive models have become a trusted advisor to many businesses, and for a good reason. These models can “predict the future”, and there are many different techniques available, meaning any industry can find one that fits their particular challenges. However, the abundance of predictive modeling techniques and software libraries means that there are multiple models…
Deep learning is largely responsible for today’s growth in the use of AI. The technology has given computers extraordinary powers, such as the ability to recognize speech almost as good as a human being, a skill too tricky to code by hand. Deep learning has also transformed computer vision and dramatically improved machine translation. It…
Floods are among Earth’s most common and most destructive natural hazards. Floods occur when water overflows the land that is normally dry. Excessive rains can also lead to dams rapture or simple water overflow, which causes unwanted consequences for downstream settlements and unoptimized electricity production. Most floods take hours and even days to develop, giving…
Modern companies produce gigantic amounts of data. Later it becomes a part of their machine learning datasets. Those are further used to build models that aim to solve various problems business may face, and make it more profitable, customer-oriented and, of course, data-driven. Machine Learning depends heavily on data, that makes algorithm training possible. Regardless…