Researchers at USC are developing an algorithm that teaches machines to learn without human supervision. "Generally speaking, machine learning is the science of teaching machines to act like humans," said Mohammad Rostami, Research Lead at USC Viterbi's Information Sciences Institute (ISI). Teaching machines to learn without human supervision is the subject of his latest paper, Overcoming Concept Shift in Domain-Aware Settings through Consolidated Internal Distributions, which he will present at the 37th AAAI Conference on Artificial Intelligence, held in Washington, D.C. Rostami explained how machine learning is typically done: "We collect data annotated by humans, and then we teach the machine how to act similar to humans given that data. The problem is that the knowledge the machine obtains is limited to the data set used for training." Additionally, the training data set is often unavailable after the training process is complete.

"We are all now connected by the Internet, like neurons in a giant brain"- Stephen Hawking When you ask Siri to set the alarm for an important meeting tomorrow or for directions to an eatery that has just opened, you are able to do that because of the existence of Web 3.0. The internet is one of the greatest inventions of mankind and has transformed our lives completely. Its third-generation, Web 3.0, has just enhanced the experience ever more by using new-age technologies like artificial intelligence and machine learning to create a data-driven internet. Web 3.0's predecessors were quite different from it. The first version of the web, Web 1.0, existed till right before the turn of the century.