Computer Sciences

Deep learning networks prefer the human voice—just like us

The digital revolution is built on a foundation of invisible 1s and 0s called bits. As decades pass, and more and more of the world's information and knowledge morph into streams of 1s and 0s, the notion that computers prefer ...

Internet

Inferring what we share by how we share

It's getting harder for people to decipher real information from fake information online. But patterns in the ways in which information is spread over the internet—say, from user to user on a social media network—may ...

Business

SKorea's LG to exit loss-making mobile phone business

South Korean electronics maker LG said Monday it is getting out of its loss-making mobile phone business to focus on electric vehicle components, robotics, artificial intelligence and other products and services.

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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