The findings come from a cross-sectional study, published in BMJ Open, of the comments submitted to the US Food and Drug Administration (FDA) "Proposed Regulatory Framework for Modifications to Artificial Intelligence/Machine ...
Oct 15, 2020
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Artificial intelligence is lauded for its ability to solve problems humans cannot, thanks to novel computing architectures that process large amounts of complex data quickly. As a result, AI methods, such as machine learning, ...
Oct 14, 2020
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In a new perspective piece "Transparency and reproducibility in artificial intelligence" published this week in the journal Nature, an international group of scientists including CUNY Graduate School of Public Health and ...
Oct 14, 2020
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Johns Hopkins Medicine and Johns Hopkins Applied Research Laboratory (APL) researchers have shown that cell phone images of rashes taken by patients can be evaluated using artificial intelligence (AI) and deep learning (DL) ...
Oct 14, 2020
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Recent outbreaks of COVID-19 have been detected following football events in the United States, and games have the potential to become "superspreader" events. Because the National Football League (NFL) and National Collegiate ...
Oct 13, 2020
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Researchers at the Cyber-Physical Systems Group at the USC Viterbi School of Engineering, in conjunction with the University of Illinois at Urbana-Champaign, have developed a new model of how information deep in the brain ...
Oct 13, 2020
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A rapidly growing body of evidence suggests the microscopic bacteria that live in our digestive tracts have a profound effect on our cardiovascular health.
Oct 08, 2020
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A group of researchers have developed artificial intelligence (AI) that accurately predicts COVID-19 infection from standard blood tests.
Oct 05, 2020
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Artificial intelligence (AI) used in machine learning models can predict which patients are at highest risk for severe pain after surgery, and help determine who would most benefit from personalized pain management plans ...
Oct 04, 2020
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A team of researchers at the University of Minnesota recently developed and validated an artificial intelligence algorithm that can evaluate chest X-rays to diagnose possible cases of COVID-19. Working together with M Health ...
Oct 01, 2020
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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.
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