Smart Analytics

Augmented reality is the name of a suite of technologies that superimpose a computer-generated image on a user's view of the real world, offering a composite picture – part reality, part digital image. The root of the word 'increased' is 'increase,' meaning to add something. In augmented reality ( AR), graphics, text, sounds, and occasionally touch-feedback are applied to the real world. AR varies from virtual reality ( VR), which allows the user to live in an entirely computer-generated environment through a headset.

Businesses can use Augmented Reality to drive sales, increase brand recognition, and collect highly engaged leads, to name a few examples. Augmented Reality, or, more specifically, Web-based Augmented Reality, may be used to have a seamless user experience that users do not need to download an app to connect with it.

The role of artificial intelligence in education is always a hot issue. Although some fear that artificial intelligence will take over knowledge at the expense of students and teachers, others say that artificial intelligence will revolutionize and enhance education.

Using artificial intelligence to supply chains offers real advantages for the businesses that put it in place. McKinsey's latest research shows that 61% of executives report reduced costs, and 53% report increased sales due to the implementation of artificial intelligence into their supply chains. According to various data, more than one-third record a sales bounce of more than five percent. Revenue-generating supply chain management areas include sales and demand, forecasting, spending analytics, and optimization of the logistics network.

Artificial intelligence has long been the topic of expectation between mainstream and science culture, with the ability to change companies and the relationship between people and technology in general. So, why is the use of AI hitting critical mass today?

Currently, machine learning has been one of the hottest topics of discussion among the C-suite. Hence, let XRCLOUD provide more information about machine learning and the future of machine learning!

Nowadays, many companies use cloud computing services t ...

Google wants to use TensorFlow to take advantage of their massive datasets in order to give their users the best user experience. The three different groups that use machine learning are researchers, data scientists, and programmers. They can all use the same toolset to collaborate and improve their searching efficiency.

With 175 billion parameters, it's the most extensive language model ever created, and it was trained on the largest dataset of any language model.