How can a computer, smartphone or surveillance camera identify objects in the pictures or recognize people in the crowd? What technologies are used to create smart solutions that can imitate human brain functions? Today we are going to talk about the image recognition technology and sophisticated programming innovations it is based on.
Modern search engines let us find the answer to practically any question in the ever-growing ocean of internet data within a couple of seconds. How is it possible? What stands behind such a lightning-fast search process?
In this article, we will talk about artificial intelligence search technologies that quickly help satisfy the user’s informational needs and provide the most relevant recommendations.
The evolution of the global web has resulted in virtual connections ubiquitously penetrating real-world objects and activities. Today, everything can be connected with everything, creating a new distributed ecosystem that goes beyond the familiar IoT (Internet of Things) concept. Cisco has coined a special term — the Internet of Everything (IoE) — to describe this dynamically changing phenomenon.
Customer feedback can be a powerful tool for business development, but it wouldn’t work without the right analysis. Every day, organizations around the world collect millions of user comments on their websites and in social networks, but most of them neglect this priceless source of information. Why? There may be two reasons: they either don’t realize the value of messages people send them or don’t know the methods of customer feedback analysis.
The ideas presented in the legendary science-fiction movies Matrix and Avatar, where people live in the digital simulation of the world and have their virtual prototypes, are likely to become reality. The new technology named digital twins is able to create virtual models of objects, processes and large systems. Scientists believe that the digital twin of a human will also appear soon.
Online interaction between customers and companies has become a normal practice today because it is beneficial for both parties. This article presents an overview of one of the most effective tools for business communication as of now — chatbots.
It hasn’t been long since virtual reality (VR), augmented reality (AR) and mixed reality (MR) fired up our imagination, but a new family member — extended reality (XR) — has already come into general use. This notion combines the three phenomena, and their proliferation and convergence are the reason why XR has emerged.
In the next couple of decades, our society will undergo many changes and will be quite different from what it is today. One significant factor that impacts and transforms various aspects of everyday life is the rapid expansion of the artificial intelligence and robotics industry.
Way back in 1959, when computing era has just begun, Arthur Samuel coined the term “machine learning.” As Gartner’s expert put it: “Ten years ago, we struggled to find ten machine learning-based business applications. Now we struggle to find 10 that don’t use it.” A great deal has changed since then, but this technique is now fully involved in household and business operations, and a growing number of companies come to realize the importance of machine learning in business. Let’s explore the business benefits of machine learning for small businesses, large enterprises and startups.
During the last decade, we’ve seen the emergence of many digital systems and new technologies such as the Internet of Things and cloud computing. At the same time, we are witnessing that economic growth is inevitably slowing down in most developed countries, for instance, in the US. Quite a paradox, isn’t it?