과학기술

양자 알고리즘이 우연히 인간수준 AI로 이어질것입니다.

854242019-05-26목록으로 건너뛰기

<header data-height="70" data-sticky-height="55" data-responsive-height="75" data-transparent-skin="" data-header-style="1" data-sticky-style="slide" data-sticky-offset="30%" dis-id="mk-header-1" role="banner" itemscope="itemscope" itemtype="https://schema.org/WPHeader"><section dis-id="mk-page-introduce"><h1><a href="https://www.insidequantumtechnology.com/news/quantum-algorithms-may-accidentally-lead-human-level-ai/">https://www.insidequantumtechnology.com/news/quantum-algorithms-may-accidentally-lead-human-level-ai/</a><br><br>Quantum Algorithms May Accidentally Lead To Human-Level AI</h1><a rel="v:url" property="v:title" href="https://www.insidequantumtechnology.com/">HOME</a> » <a rel="v:url" property="v:title" href="https://www.insidequantumtechnology.com/news/">NEWS</a> » QUANTUM ALGORITHMS MAY ACCIDENTALLY LEAD TO HUMAN-LEVEL AI</section></header><article><img width="610" height="250" alt="" src="https://www.insidequantumtechnology.com/wp-content/uploads/2019/02/51445093_558704461299972_7791448739440230400_n.jpg"><p><strong><a target="_blank" rel="noopener noreferrer" href="https://thenextweb.com/artificial-intelligence/2019/05/13/grand-theft-consciousness-how-quantum-algorithms-will-backdoor-human-level-ai/">(TheNextWeb)</a></strong> Researchers are developing stronger, faster, more efficient algorithms that take advantage of quantum computing technology at the edge of human accomplishment. As these types of opportunities increase, and their solutions build upon one another, scientists will fill in the variables needed to develop a system on par with the human brain. Author Tristan Greene believes we’ll backdoor our way to human AI as the findings of some (or several) research team’s efforts at solving problems unrelated to the development of human-level AI. He cites recent research into quantum algorithms as a possible mash-up between machine learning and quantum computers that’ll eventually, accidentally lead to human-level AI.<br>Green cites the work of researchers Sankar Das Sarma of the University of Maryland in College Park, and Dong-Ling Deng and Lu-Ming Duan of the Institute for Interdisciplinary Information Sciences at Tsinghua University in Beijing. That team is focusing extensively on quantum algorithms, neural networks based on quantum bits, and using quantum computing techniques to speed up AI and reduce computational overhead. They recently pre-published a paper on ArXiv detailing their efforts to discern what the “marriage” between machine learning and quantum computing will mean for physicists and developers of the near future. Their research indicates that the challenge isn’t in figuring out whether it’s possible to solve today’s problems with quantum computers and AI, but entirely rethinking what the word “possible” even means.<br><br><br>현재의 기계학습과 양자컴퓨터가 융합하여 우연히 인간수준 인공지능에 도달할것이라고 한다.<br><br>좆같은 개뻘글만 쓰지말고 나처럼 최신기술에 대한 소식을 갖고와라<br><br>어떤게이가 과학글 쓰면서 ㅇㅂ보내고 특게 홍보하던데 다른게이들이 과기게왔는데 개뻘글같은거나 있는데 이용자수 참 잘도 늘겠다<br><br><br><br> </p></article>

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