Government Interventions to Avert Future Catastrophic AI Risks by Yoshua Bengio

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Learning to Understand Phrases by Embedding the Dictionary by Felix Hill, Kyunghyun Cho, Anna Korhonen, Yoshua Bengio

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A neuronal least-action principle for real-time learning in cortical circuits by Walter Senn, Dominik Dold, Akos F Kungl, Benjamin Ellenberger, Jakob Jordan, Yoshua Bengio, João Sacramento, Mihai A Petrovici

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Causal Discovery in Astrophysics: Unraveling Supermassive Black Hole and Galaxy Coevolution by Zehao Jin, Mario Pasquato, Benjamin L. Davis, Tristan Deleu, Yu Luo, Changhyun Cho, Pablo Lemos, Laurence Perreault-Levasseur, Yoshua Bengio, Xi Kang, Andrea Valerio Macciò, Yashar Hezaveh

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Proactive Contact Tracing. by Prateek Gupta, Tegan Maharaj, Martin Weiss, Nasim Rahaman, Hannah Alsdurf, Nanor Minoyan, Soren Harnois-Leblanc, Joanna Merckx, Andrew Williams, Victor Schmidt, Pierre-Luc St-Charles, Akshay Patel, Yang Zhang, David L Buckeridge, Christopher Pal, Bernhard Schölkopf, Yoshua Bengio

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RECOVER identifies synergistic drug combinations in vitro through sequential model optimization by Paul Bertin, Jarrid Rector-Brooks, Deepak Sharma, Thomas Gaudelet, Andrew Anighoro, Torsten Gross, Francisco Martínez-Peña, Eileen L. Tang, M.S. Suraj, Cristian Regep, Jeremy B.R. Hayter, Maksym Korablyov, Nicholas Valiante, Almer van der Sloot, Mike Tyers, Charles E.S. Roberts, Michael M. Bronstein, Luke L. Lairson, Jake P. Taylor-King, Yoshua Bengio

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Responses of pyramidal cell somata and apical dendrites in mouse visual cortex over multiple days by Colleen J. Gillon, Jérôme A. Lecoq, Jason E. Pina, Ruweida Ahmed, Yazan N. Billeh, Shiella Caldejon, Peter Groblewski, Timothy M. Henley, India Kato, Eric Lee, Jennifer Luviano, Kyla Mace, Chelsea Nayan, Thuyanh V. Nguyen, Kat North, Jed Perkins, Sam Seid, Matthew T. Valley, Ali Williford, Yoshua Bengio, Timothy P. Lillicrap, Joel Zylberberg, Blake A. Richards

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Catalyzing next-generation Artificial Intelligence through NeuroAI by Anthony Zador, Sean Escola, Blake Richards, Bence Ölveczky, Yoshua Bengio, Kwabena Boahen, Matthew Botvinick, Dmitri Chklovskii, Anne Churchland, Claudia Clopath, James DiCarlo, Surya Ganguli, Jeff Hawkins, Konrad Körding, Alexei Koulakov, Yann LeCun, Timothy Lillicrap, Adam Marblestone, Bruno Olshausen, Alexandre Pouget, Cristina Savin, Terrence Sejnowski, Eero Simoncelli, Sara Solla, David Sussillo, Andreas S. Tolias, Doris Tsao

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Boring Problems Are Sometimes the Most Interesting by Richard Sproat

“…In a recent position paper, Turing Award Winners Yoshua Bengio, Geoffrey Hinton, and Yann LeCun make the case that symbolic methods are not needed in AI and that, while there are still many issues to be resolved, AI will be solved using purely neural methods. …”
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ARCHITECTS OF INTELLIGENCE : THE TRUTH ABOUT AI FROM THE PEOPLE BUILDING IT / by Ford, Martin (Martin R.), author interviewer 633965

Trends and hotspots in research on medical images with deep learning: a bibliometric analysis from 2013 to 2023 by Borui Chen, Jing Jin, Haichao Liu, Zhengyu Yang, Haoming Zhu, Yu Wang, Jianping Lin, Shizhong Wang, Shaoqing Chen

“…The most cited author is Kaiming He, and the author with the highest centrality is Yoshua Bengio.ConclusionThe application of deep learning in medical image processing is becoming increasingly common, and there are many active authors, institutions, and countries in this field. …”
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