Computer Sciences

New AI boosts teamwork training

Researchers have developed a new artificial intelligence (AI) framework that is better than previous technologies at analyzing and categorizing dialogue between individuals, with the goal of improving team training technologies. ...

Machine learning & AI

Why we trust calculators more than AI

Artificial intelligence may seem similar to a calculator but the relationship of humans with the former is not as serene as with the latter. We trust the results of computers, even if we don't know exactly how it can arrive ...

Machine learning & AI

UK to host world's first AI summit: PM Sunak

Britain will host the world's first summit on artificial intelligence later this year, in a bid to broker a common approach by countries to limit the technology's potential doomsday risks while harnessing its potential, Prime ...

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Artificial intelligence

Artificial Intelligence (AI) is the intelligence of machines and the branch of computer science which aims to create it. Major AI textbooks define the field as "the study and design of intelligent agents," where an intelligent agent is a system that perceives its environment and takes actions which maximize its chances of success. John McCarthy, who coined the term in 1956, defines it as "the science and engineering of making intelligent machines."

The field was founded on the claim that a central property of human beings, intelligence—the sapience of Homo sapiens—can be so precisely described that it can be simulated by a machine. This raises philosophical issues about the nature of the mind and limits of scientific hubris, issues which have been addressed by myth, fiction and philosophy since antiquity. Artificial intelligence has been the subject of breathtaking optimism, has suffered stunning setbacks and, today, has become an essential part of the technology industry, providing the heavy lifting for many of the most difficult problems in computer science.

AI research is highly technical and specialized, so much so that some critics decry the "fragmentation" of the field. Subfields of AI are organized around particular problems, the application of particular tools and around longstanding theoretical differences of opinion. The central problems of AI include such traits as reasoning, knowledge, planning, learning, communication, perception and the ability to move and manipulate objects. General intelligence (or "strong AI") is still a long-term goal of (some) research, while many researchers no longer believe that this is possible.

This text uses material from Wikipedia, licensed under CC BY-SA