Both data science and artificial intelligence are extremely talked about topics in today’s technology domain. Both of these technologies are being steadily adopted by businesses across the globe, regardless of industry or domain. However, there is a question often asked by people, particularly those looking to enter any of these fields, regarding how data science and artificial intelligence are connected and how they’re different from each other. In this post, we’re going to take a closer look at both aspects of both the fields to help you obtain a clear idea and take an informed decision.
During the last few years, we’re experiencing a big revolution from mobile computing to immersive computing. We’ve also seen a new wave of devices employing virtual reality (VR) that defines a major spectrum of immersive technology that has the ability to replace mobile computing. In 2016, a range of virtual reality products came to the market by some tech giants. The large acquisitions and investments made by those tech giants reveal that virtual reality and augmented reality (AR) will become highly integrated with the platforms on which people consume content in the coming future.
The association of AI with common public may have been limited to Hollywood films like Terminator, iRobot, Ex Machina etc a couple of years ago, but the technology today is right here with exponential future possibilities. These days, billions of people across the globe interact with artificial intelligence on a regular basis through their computers, phones and other smart devices. It has revolutionized the technology landscape that millions of people reap benefit from.
Artificial intelligence has become a crucial part of daily human lives today and it assists in almost every scenario – whether you realize it or not. Every time you do a Google search, book a trip online, receive a product recommendation from Amazon, or open your Facebook newsfeed, which are just a few everyday instances – AI is lurking in the background. In this post, we’ve rounded up ten practical examples across multiple industries that demonstrate how pervasive the technology has become in our everyday lives.
Today, Python has become one of the most favored programming languages among developers across the globe – from process automation to scripting to web development to machine learning – it’s used everywhere. Before we delve deeper to understand why Python is steadily becoming a great choice among machine learning professionals, let’s have a quick look at where actually the study of algorithms helps in.
In today’s world of cutting-edge technologies, implementation of image processing techniques has become a crucial part for many tech organizations, regardless of their volume and field of operation. Acquisition of instant information has become possible because of the advancements taking place in the domain of the internet.