Understanding the latest trends in artificial intelligence (AI) can seem challenging, but it really boils down to two terms you’ve likely heard of before: machine learning(ML) and deep learning(DL). These terms are often used in ways that can make them seem interchangeable, that is why it’s important to understand the differences. To know the way… Continue reading Deep learning vs Machine learning
Today Face Recognition Technology (FRT) has made a significant step forward and seems to slowly become more and more widely used in our everyday lives. It's supposed to be the most natural of all biometric measurements. And for good reason – we recognize ourselves and other people not by looking at fingerprints or irises, for… Continue reading Facial Recognition Technology: Where is it being used, and how does the technology work?
21st century conquered the whole world with new discoveries and the creation of innovative software. The world does not stand still, and information technologies are also progressing making impact on many industries. Healthcare is not an example. Particularly in the case of automation, machine learning and artificial intelligence, doctors, hospitals, insurance companies, and industries with… Continue reading Machine Learning and Artificial Intelligence in Healthcare
Digital is changing the world, and the healthcare industry is not an exception. Today we can receive a doctor’s consultation without leaving home, buy new medicines directly from our gadgets, get real-time text alerts that our blood pressure is too high, etc. The ehealth industry is developing, growing and revolutionizing. The revolution we see now… Continue reading eHealth trends 2018
Spark and Hadoop are popular and well-known Apache projects in the Big Data World and we decided to take a closer look at both of them. However before we start it`s worth mentioning that direct comparison of Hadoop and Spark is difficult because they do many of the same things, but are also non-overlapping in… Continue reading Best Big Data framework: Apache Spark Vs Hadoop Mapreduce