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Deep learning is catching the interest of all of us as it produces results that have not been possible before. Deep learning is a machine learning technique that teaches computers to learn by example, just as we have known as a child. This technology is used in autonomous vehicles.

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!

When it comes to cloud computing and big data, they all seem to be at the forefront of technology, and we always feel that they are far away from us. However, science and technology development should benefit the general public, so cloud computing is not irrelevant to us. Many cloud computing functions can be used to solve problems in our work and life. So, here comes to the question, how can cloud computing benefit individuals in their daily life?

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.