Computer Sciences

Framework improves 'continual learning' for artificial intelligence

Researchers have developed a new framework for deep neural networks that allows artificial intelligence (AI) systems to better learn new tasks while "forgetting" less of what it has learned regarding previous tasks. The researchers ...

Machine Learning & AI

Smarter training of neural networks

These days, nearly all the artificial intelligence-based products in our lives rely on "deep neural networks" that automatically learn to process labeled data.

Computer Sciences

Using a printed adversarial patch to fool an AI system

A trio of researchers at the University of KU Leuven in Belgium has found that it is possible to confuse an AI system by printing a certain picture and holding it against their body as the AI system tries to identify them ...


Video manipulation technology poses danger to future elections

A video on social media shows a high-ranking U.S. legislator declaring his support for an overwhelming tax increase. You react accordingly because the video looks like him and sounds like him, so certainly it has be him.

Machine Learning & AI

IBM sees the value of putting AI to work in human resources

Who put the non-human into human resources? At first glance, it seems like an unpopular alliance—the use of artificial intelligence to support a company's strategic goals vis a vis human resources.

Machine Learning & AI

The ethics of emerging technologies

In today's digital age, artificial intelligence and big data are helping people navigate the world in new ways. While many researchers are using these new tools to innovate and advance different disciplines, a few, like Fred ...

Machine Learning & AI

A bio-inspired approach to enhance learning in ANNs

The human brain continuously changes over time, forming new synaptic connections based on experiences and information learned over a lifetime. Over the past few years, artificial Intelligence (AI) researchers have been trying ...

Computer Sciences

Teaching machines to reason about what they see

A child who has never seen a pink elephant can still describe one—unlike a computer. "The computer learns from data," says Jiajun Wu, a Ph.D. student at MIT. "The ability to generalize and recognize something you've never ...

Machine Learning & AI

Animal intelligence and AI: Competition is in the wings

Stay tuned for the upcoming Animal-AI Olympics, brought to you by researchers at the Leverhulme Centre for the Future of Intelligence in Cambridge, UK, and GoodAI, a Prague-based research institute.

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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