what is mixed reality ? Mixed reality(MR) is a significant advancement of augmented reality the technology behind 2016’s Pokémon GO phenomenon. In a “hybrid” environment, interactive virtual objects can be mapped to the physical environment, blending the real and the virtual.
Augmented reality and virtual reality are both are different concepts. But that readily distinguish them from one another. They sound similar, and as the technologies develop, they flow over into each other a bit. These days the terms augmented reality and virtual reality get thrown around a lot.
What is Augmented Reality ? Augmented reality has come a long way from a science-fiction idea to a science-based reality. The costs of augmented reality were so large that designers could only imagine working on design projects that involved it today things have changed and augmented reality is even accessible on the mobile handset.
What is virtual reality ? Virtual reality really makes it possible to experience anything, anywhere, anytime. It means experiencing objects or things through our computers that actually don’t really exist. With so many cameras and devices, it can be easy to feel left behind, and virtual reality is already becoming a very in-demand.
Business innovations and the opportunities that are being created is how enterprises discriminate themselves from the other. It is how they create value, and eventually, how they pass that value over to the client. Read More
Every day we are wade through different top trending technologies. In 2019 people are gone through Artificial intelligence (AI), it is changing the way we think of technologies, there are multiple businesses profits obtained from artificial intelligence technology.
Nowadays people will be showing more interest in learning new technologies. There are a number of top trending technologies in that Artificial intelligence is one of the top trending technologies. Who is wade through Artificial intelligence it is good for their career?
The answer can be summarized in one word: “Ecosystem” – which means, Python has all the best packages and stuff for numeric computing.
Computer vision allows machines to identify people, places, and things in images with accuracy at or above human levels with much greater speed and efficiency. Often built with deep learning models, it automates extraction, analysis, classification and understanding of useful information from a single image or a sequence of images. The image data can take many forms, such as single images, video sequences, views from multiple cameras, or three-dimensional data.
Artificial Intelligence (AI) is the field of computer science dedicated to solving cognitive problems commonly associated with human intelligence, such as learning, problem solving, and pattern recognition. Artificial Intelligence, often abbreviated as “AI”, may connote robotics or futuristic scenes, AI goes well beyond the automatons of science fiction, into the non-fiction of modern day advanced computer science. Read More
Machine Learning is a new trending field these days and is an application of artificial intelligence. It uses certain statistical algorithms to make computers work in a certain way without being explicitly programmed. The algorithms receive an input value and predict an output for this by the use of certain statistical methods. The main aim of machine learning is to create intelligent machines which can think and work like human beings.
“Artificial Intelligence has been brain-dead since the 1970s.” This rather ostentatious remark made by Marvin Minsky co-founder of the world-famous MIT Artificial Intelligence Laboratory, was referring to the fact that researchers have been primarily concerned on small facets of machine intelligence as opposed to looking at the problem as a whole. This article examines the contemporary issues of artificial intelligence (AI) looking at the current status of the AI field together with potent arguments provided by leading experts to illustrate whether AI is an impossible concept to obtain.
Text-to-speech is the generation of synthesized speech from text. The technology is used to communicate with users when reading a screen is either not possible or inconvenient. This not only opens up applications and information to be used in new ways, but also has the ability to make the world a more accessible place to individuals who are unable to read text on a screen.
Derived from “chat robot”, “chatbots” allow for highly engaging, conversational experiences, through voice and text, that can be customized and used on mobile devices, web browsers, and on popular chat platforms such as Facebook Messenger, or Slack. With the advent of deep learning technologies such as text-to-speech, automatic speech recognition, and natural language processing, chatbots that simulate human conversation and dialogue can now be found in call center and customer service workflows, DevOps management, and as personal assistants.