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作 者:Michael Q.Zhang
机构地区:[1]Department of Biological Sciences,Center for Systems Biology,University of Texas,Dallas,Texas,USA
出 处:《Quantitative Biology》2023年第4期359-362,共4页定量生物学(英文版)
摘 要:Recently,Quantitative Biology(QB)held a discussion on"Al(artificial intelligence)for Life Science"among editorial board members and interested scholars in anticipation of rapid development of this growing area after AlphaGo and ChatGPT mania.Many young people tend to get confused between facts and fictions;heated debates are unavoidable even among their mentors.When deep learning as represented by convolutional neural networks and LSTM(long shortterm memory)was made available for bioinformatics students,many of them rushed into this research field and tried to adopt these methods in all their projects without knowing the history that these tools were becoming successful consistently with Moore's Law(relating to rapid computer technology advances)
分 类 号:TP18[自动化与计算机技术—控制理论与控制工程]
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