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Can we learn to think further ahead?

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. ....

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

Summary Of Oversight Hearing On Artificial Intelligence

The senators seemed poised to regulate AI in this Congress, whether through an agency or via the courts, and expressed bipartisan concerns about deployment and uses of AI that pose significant dangers that require intervention, with recommendation of adopting cues from the E ....

United States , Gary Marcus , Christina Montgomery , Samuel Altman , Richard Blumenthal , Neural Science At New York University , Communications Decency , Us Senate Judiciary Committee , Drug Administration , Judiciary Committee , Neural Science , New York University , Communications Decency Act , Bm Models , Onsumer Facing Models , Nteractions With Ai , I Research , Rti Act ,