How is AI Being Used to Change Higher Education? Medical, financial, energy, and commerce industries are being revolutionized rapidly by artificial intelligence (AI). The use of AI technologies in Higher Education is particularly promising. In the coming years, artificial intelligence could have a huge impact on higher education. A new generation of innovations, such as virtual reality and other innovations, may be able to improve learning as well as lower costs for Generation Z and beyond. We will discuss in depth in this article how artificial intelligence can be used to make higher education a better experience for students and teachers alike. Also Read: How Technology Has Changed Teaching and Learning. It is clear why American universities are reliant on algorithms for selection models to manage enrollment by understanding the status of higher education as a whole.

On the day I met Sebastian Thrun in Palo Alto, the State of California legalized self-driving cars. Gov. Jerry Brown arrived at the Google campus in one of the company's computer-controlled Priuses to sign the bill into law. "California is a big deal," said Thrun, the founder of Google's autonomous-car program, "because it tends to be hard to legislate here." He said it with typical understatement. An idea that was in its technological infancy a decade ago, when Thrun and his colleagues were racing to develop a vehicle that could drive itself more than a few miles on a desert test course, was now being officially sanctioned by the country's most populous state.

Jack Ma, who is the founder CEO of Internet giant Alibaba, warns that If we do not change the way we teach, 30 years down the line we will be in trouble. The things we teach our children are things from the past 200 years- it's knowledge-based. And we can not teach our kids to compete with machines, that are smarter. This man is a big employer and his assertion on what the employers would need in the near future is credible enough, at least to me. As I said earlier that there's no way we can compete with AI when it comes to efficiency, knowledge, accuracy and incessant replication; how else can we beat it?