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UN AI for Good Summit Explores How Generative AI Poses Risks and Fosters Connections

Panelists at the UN AI for Good summit discussed regulation, international cooperation, and the growth of generative AI. ....

United States , Wendell Wallach , Gary Marcus , Haniyeh Mahmoudian , Karishma Muthukumar , Neural Science At New York University , United Nations , World Economic Forum , Us National Ai Advisory Committee , University Of California , International Affairs , Carnegie Council For Ethics , Good Global , Neural Science , New York University , Carnegie Council , Global North , Global South , Silicon Valley ,

AI Is Being Over-Hyped: "Those Who Believe Artificial General Intelligence Is Imminent Are Almost Certainly Wrong"

AI Is Being Over-Hyped: "Those Who Believe Artificial General Intelligence Is Imminent Are Almost Certainly Wrong"
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Gary Marcus , Being Over Hyped , Professor Emeritus , Neural Science ,

AI Is Being Over-Hyped: "Those Who Believe Artificial General Intelligence Is Imminent Are Almost Certainly Wrong"

ZeroHedge - On a long enough timeline, the survival rate for everyone drops to zero ....

Gary Marcus , Goldman Sach Jenny Grimberg , Ernie Davis , Neural Science At New York University , Professor Emeritus , Neural Science , New York University ,

Renowned Researcher, Founder of Neuroeconomics Named Director of NYU Langone Health's Neuroscience Institute

/PRNewswire/ Paul W. Glimcher, PhD, has been named as the director of NYU Langone Health s Neuroscience Institute and chair of the Department of. ....

New York , United States , Prnewswire Paulw Glimcher , Roberti Grossman , Richard Tsien , Colin Devries , Computational Psychiatry Program , Langone Health Neuroscience Institute , University Of Pennsylvania , Langone Health , Department Of Psychiatry , Department Of Neuroscience , Grossman School Of Medicine , Neuroscience Institute , Institute For The Study Of Decision , Datacubed Health , Julius Silver Professor , Neural Science , Decision Making , Teaching Award , Nyu Langone Health ,

Can we learn to think further ahead? Cognitive scientists' computational model shows how expertise improves planning depth

Chess grandmasters are often held up as the epitome of thinking far ahead. But can others, with a modest amount of practice, learn to think further ahead? In addressing this question, a team of cognitive scientists has created a computational model that reveals our ability to plan for future events. The work enhances our understanding of the factors that affect decision-making and shows how we can boost our planning skills through practice. ....

Gianni Galbiati , Ionatan Kuperwajs , Wei Ji Ma , Van Opheusden , Zahy Bnaya , Yunqi Li , Stanford University , York University Center , National Science Foundation , New York University , Neural Science , Generally Intelligent ,