In 2019, he received the ACM A.M. Turing Award, “the Nobel Prize of Computing”, jointly with Geoffrey Hinton and Yann LeCun for conceptual and engineering breakthroughs that have made deep neural networks a critical component of computing. https://ca.finance.yahoo.com/news/ai-help-fight-against-covid-120000970.html Plus the fact that all good reviewers are in demand at very specific weeks of the year makes it harder for area chairs to find the appropriate reviewer for their paper (unlike what happens with journals). These meetings would be also connected to each other using electronic means but at least some of the in-person socialization would be preserved. But the carbon footprint associated with all the associated air travel is by far the greatest source of greenhouse gases deriving from us as individuals, because of our job as scientists and scholars. I mean that our society is built on fragile foundations, and most importantly that we are constructing and using tools we invented without the sufficient wisdom required to deploy them in a way that captures well the consequences of our actions. What do I mean and why would we self-destruct? Yoshua Bengio is Full Professor of the ... Latest Blog Posts. CANADA, Time to rethink the publication process in machine learning, Science and innovation in times of a pandemic. I guess this is the beginning of a discussion, and the many researchers who have participated in the conference and journal process in ML would certainly have interesting things to say towards improving this process. We will be returning to Montreal this October, and Yoshua Bengio is already confirmed to speak at the Summit. THE CANADIAN PRESS/Graham Hughes . I have been part of discussions with program committees about how to improve these conferences, but usually the discussions are about incremental changes. The product(s) featured in this post was provided free of cost to me for the sole purpose of product testing and review. on the Quebec or California cap-and-trade exchange). One of the godfathers of artificial intelligence says the last year has created a "watershed" moment for the technology, but we have to be careful not to let our fears keep us from exploring it more. In 2019, he received the ACM A.M. Turing Award, “the Nobel Prize of Computing”, jointly with Geoffrey Hinton and Yann LeCun for conceptual and engineering breakthroughs that have made deep neural networks a critical component of computing. In the short term and until we manage to bring the greenhouse gases near zero, conference organizers should buy offsets or allowances (e.g. I intend to talk more later about the specific research efforts which are being undertaken to take advantage of the advances in machine learning to help tackle climate change (in the meantime, check this paper). Prof Yoshua Bengio, Scientific Director, Mila and Co-Founder, Element AI. My first passion is about understanding intelligence, the artificial ones we are in the process of building, and the natural ones as well, because I believe that there are fairly generic principles which explain our intelligence and will allow us to build machines at least as intelligent as us one day. Montréal (QC) H2S 3H1 Here is the content of my message to the board: I would like to see more discussion about ideas to improve the publication process as a whole in ML, with reviewing being a crucial element. Yoshua Bengio is a renowned figure in the deep learning field. firstname.lastname@example.org, Mila – Quebec Artificial Intelligence Institute I believe that our current political-social-economic structures are not appropriate to manage the increased power which science and technology is putting in our hands, endangering the natural equilibrium of this planet on which we rest to continue thriving, as a species. At one end of the spectrum, we could imagine all-remote meetings where everyone stays at home, but we might completely lose the social aspects and accessibility in-person to other researchers which conferences provide — at least until virtual reality catches up sufficiently. Yoshua Bengio is recognized as one of the world’s leading experts in artificial intelligence and a pioneer in deep learning. Published 10 February 2020 by yoshuabengio. 6666, rue St-Urbain, bureau 200 The field has almost completely switched to a conference publication model (in fact a large part of computer science has done so too), and each conference paper does not get the chance to be cleaned up as well as a typical journal paper, rarely benefitting from the repeated iterations to improve the paper which is typical of journals. Let’s get going! Since 1993, he has been a professor in the Department of Computer Science and Operational Research at the Université de Montréal. It is more competitive, everything is happening fast and putting a lot of pressure on everyone, the field has grown exponentially in size, students are more protective of their ideas and in a hurry to put them out, by fear that someone else would be working on the same thing elsewhere, and in general a PhD ends up with at least 50% more papers than what I gather it was 20 or 30 years ago. This post has not been monetarily compensated. About. It doesn’t even have to be super-recent work, it could be work which got done 1 or 2 years ago and is only recently picking up steam in terms of impact. Yoshua Bengio is recognized as one of the world’s leading experts in artificial intelligence and a pioneer in deep learning. Yoshua Bengio received a PhD in Computer Science from McGill University, Canada in 1991. So we are more productive, on the surface, but this stress, productivity fast pace have a price on the depth and quality of the papers we produce. Motivated by this feeling, I have been thinking of a potentially different publication model for ML, which has some similarity to what has been experimented elsewhere (e.g., VLDB). Since 1993, he has been a professor in the Department of Computer Science and Operational Research at the Université de Montréal. the 7 best deep learning books you should be reading right. Following his studies in Montreal, culminating in a Ph.D. in computer science from McGill University, Professor Bengio did postdoctoral studies at the Massachusetts Institute of Technology (MIT) in Boston. This blog is intended to cover both research questions and broader questions — often about our society — which occupy my thoughts. 6666, rue St-Urbain, bureau 200 I often write comments and posts on social media but these tend to be only temporarily visible, so I thought I needed a place to… Continue reading Yoshua Bengio’s blog – first words. Firstly, Yoshua Bengio, who is a Deep Learning pioneer and the head of the Montreal Institute for Learning Algorithms (MILA), Professor at the Université de Montréal, member of the NIPS board and co-founder of Element AI along with my friend Jean-Francois Gagné. Yoshua Bengio is recognized as one of the world’s leading experts in artificial intelligence (AI) and a pioneer in deep learning. In the rush preceding a conference deadline, many papers are produced, but there is not enough time to check things properly and the race to put out more papers (especially as first or equal-first author) is humanly crushing. To keep the quality and the experience strong on all sites, of course the reviewing process would be centralized (because no travel is necessary for that), and we could dispatch oral presenters (or at least the best oral papers) around the planet, to make the experience of listening to talks of equal quality across all the sites. Yoshua Bengio, Geoff Hinton, and Yann LeCun pioneered work in artificial neural networks, paving the way for self-driving cars and facial-recognition software. "Written by three experts in the field, Deep Learning is the only comprehensive book on the subject." In 2018, Yoshua Bengio ranked as the computer scientist with the most new citations worldwide, thanks to his many high-impact contributions. These are just initial thoughts, see also this article, and I’m sure other people will have better and varied ideas, so we will need to experiment in the next few years, in this domain as well as in many others where we have to accept that business-as-usual is just not possible anymore. Blog People › Samy Bengio. But now we have arXiv which plays that role much better, so the main role of conferences, besides the socializing, should be to select work to be highlighted and presented orally, to create a diversified offer of the best and most important ideas arising in our community, to synchronize researchers around this progress. Please note that, as a… Read More. I often write comments and posts on social media but these tend to be only temporarily visible, so I thought I needed a place to couch some of my thoughts that would be more permanent and easier to find. That is what I mean by self-destruct. https://www.change.org/p/organizers-of-data-science-and-machine-learning-conferences-neurips-icml-aistats-iclr-uai-allow-remote-paper-poster-presentations-at-conferences. Samy Bengio (PhD in computer science, University of Montreal, 1993) is a research scientist at Google since 2007. Comments closed. Existing web tools for asking questions remotely could be used. On the other hand, I am convinced that some of the most important advances have come through a slower process, with the time to think deeply, to step back, and to verify things carefully. Yoshua Bengio is recognised as one of the world’s leading experts in artificial intelligence and a pioneer in deep learning notably for its neural networks rebirth. His titles include Full Professor of the Department of Computer Science & Operations Research at the Université de Montréal, head of the Machine Learning Laboratory (), CIFAR Program Co-director of the CIFAR Neural Computation and Adaptive Perception program, and Canada Research Chair in Statistical Learning Algorithms, … We saw Yoshua Bengio, Yann LeCun and Geoffrey Hinton come together to share their cutting edge research progressions, first memories of each other and AI as well as discussing their papers and predictions for the future of AI. Yoshua Bengio is recognized as one of the world’s leading experts in artificial intelligence and a pioneer in deep learning. Since 1993, he has been a professor in the Department of Computer Science and Operational Research at the Université de Montréal. And everyone in this community who submits or reviews papers has information about what works and what doesn’t. editions of deep learning by ian goodfellow. Comments are closed, but trackbacks and pingbacks are open. And having our work in journal form would make it easier for ML researchers to collaborate with researchers in other disciplines who value journals and not conferences. That is why a few of us in the machine learning scientific community crafted the petition you find below, urging us to change the way we organize conferences towards minimizing air travel so as to reduce our carbon footprint. I shared these thoughts with the NeurIPS board, and I share them to you here. Yoshua Bengio’s blog – first words Published 10 February 2020 by yoshuabengio I often write comments and posts on social media but these tend to be only temporarily visible, so I thought I needed a place to couch some of my thoughts that would be more permanent and easier to find. Please share with your colleagues! Indeed, on March 27, 2019, Yoshua Bengio was awarded the prestigious AM Turing Award, considered the “Nobel of Computing” – and awarded by The Association for Computer Machinery of New York, alongside his colleagues Geoffrey Hinton and Yann LeCun, for their work as “fathers of the deep learning revolution”. I am on the NeurIPS advisory board and on the ICLR board, and I have been involved in the organization of these conferences at all levels, for many years. Media relations Yoshua Bengio is recognized as one of the world’s leading experts in artificial intelligence and a pioneer in deep learning. The landscape has changed in the last couple of decades. In great part this is thanks to the popularity of arXiv, which has greatly accelerated the cycle of information discovery and dissemination. Yoshua Bengio, Founder of Mila and computer science professor at University of Montreal, will support the ongoing research of Perceiv AI in precision medicine to improve and optimize drug development clinical trials.. Montréal (QC) H2S 3H1 The research culture has also changed in the last few decades. Media relations The online version of the book is now complete and will remain available online for free. Vincent Martineau I would like us to think about Slow Science (check their manifesto!). In addition, we now have a bunch of ML conferences (in particular NeurIPS, ICML and ICLR) with a strong overlap in their content and community, so people just resubmit their rejected work to the next conference and draw a new sample of reviewers (and because of the noise, it means a paper eventually gets accepted, after using a lot of resources from the community). Comments are closed, but trackbacks and pingbacks are open. Yoshua Bengio elected to Royal Society Tags Yoshua Bengio , Recognition , Royal Society Mila’s Scientific Director and Université de Montréal computer science professor Yoshua Bengio has been elected to the Royal Society , one of 62 exceptional scientists newly voted into … For poster sessions, many alternative models are possible, but a low-tech solution would use a short video presentation (which some conferences already ask of authors) accessible at any time from anywhere, along with chat sessions at specific times where anyone around the planet can ask questions to the authors (minding the issues of time zones which complicate matters). what is deep learning ai a simple guide with 8 practical. Next Post Peer-to-peer AI-tracing of COVID-19. with Michael Jordan and one at AT&T Bell Laboratories with Yann LeCun and Vladimir Vapnik, he became professor at the Department of Computer Science and Operations Research at Université de Montréal. I’d certainly like to hear your thoughts.My feeling is that besides the poor incentives for reviewing, our current system incentivizes incremental work and creates a lot of pressure and stress on grad students (and researchers in general) to submit as many papers as possible at each deadline. CANADA, Science and innovation in times of a pandemic, Time to rethink the publication process in machine learning. What is at stake is the well-being (or misery) of billions of human beings, not to mention an even larger number of other lives on this planet. Sidebar. mit-deep-learning-book-pdf / complete-book-pdf / Ian Goodfellow, Yoshua Bengio, Aaron Courville - Deep Learning (2017, MIT).pdf Go to file An MIT Press book Ian Goodfellow, Yoshua Bengio and Aaron Courville The Deep Learning textbook is a resource intended to help students and practitioners enter the field of machine learning in general and deep learning in particular. We now have many conferences publishing ML papers (for example my group publishes mostly at NeurIPS, ICML and ICLR, but also in major conferences in computer vision and natural language processing), which means we go from one deadline to the next every two months, roughly. https://www.creativedestructionlab.com/people/yoshua-bengio After two post-doctoral years, one at M.I.T. Yoshua Bengio is recognized as one of the world’s leading experts in artificial intelligence and a pioneer in deep learning. Vincent Martineau I wonder if it may be time for rethinking the overall publication process in the field of machine learning (ML). The deadline system of conferences creates an incentive to submit half-baked work (and often not even fix things properly later if the paper is accepted, rather move on to another publication). This brings to mind a different model, one where papers are first submitted to a fast turnaround journal (which could be JMLR in this case) and program committees of each conference then pick the papers they like the most from the list of already accepted and reviewed (and scored) papers (assuming the authors are interested in having their work presented at a conference). Computer Science professor Yoshua Bengio poses at his home in Montreal on November 19, 2016. Instead of having one major conference at one location, we could have local meeting places around the planet (at least one in each continent), so that most people would somehow attend their local meeting. CIFAR’s Learning in Machines & Brains Program Co-Director, he is also the founder and scientific director of Mila, the Quebec Artificial Intelligence Institute, the world’s largest university-based research group in deep learning. Yoshua Bengio’s blog – first words. github janishar mit deep learning book pdf mit deep. We should also start experimenting with alternative models for achieving the needs which current conferences satisfy. Today the Association for Computing Machinery (ACM) announced that Facebook Chief AI Scientist Yann LeCun, along with Yoshua Bengio (MILA and University of Montreal) and Geoffrey Hinton (Google, Vector Institute and University of Toronto), have been awarded the 2018 A.M. Turing Award.Often referred to as the “Nobel Prize of computing,” the award recognizes the group’s … So there are things we can do as individuals as well as through our responsibilities when we do organize events. Pressure has a negative effect on the quality of the science we generate. Yoshua Bengio, along with Geoffrey Hinton and Yann Lecun, is considered one of the three people most responsible for the advancement of deep learning during the 1990s, 2000s, and now. In addition, the richer iterative feedback of the journal process should lead to higher-quality results at the end of the day. Another model is based on decentralized conferences. It’s great and it is important to have these meetings which bring minds from all over the world to exchange, brainstorm, build on top of each other’s ideas, educate each other. Students and interns interested in being supervised at Mila should follow the supervision request process on the Mila website. Sidebar. Comments are closed, but trackbacks and pingbacks are open. I have the impression that collectively we are like children playing with nuclear bombs. Let’s put our heads together and explore how we can at the same time improve the quality of our science and improve our lives as human beings. Beyond allowing remote presentations at workshops and conferences, I believe we should rethink these events with the objective of eliminating the resulting carbon footprint. This panel discussion is moderated by Joelle Pineau, who at the time was Associate Professor of Computer Science at McGill University and has since also … But here I want to also point out our individual and collective responsibility — as scientists and scholars — as generators of greenhouse gases through the conferences and workshops we keep organizing all around the planet. Yoshua Bengio’s blog – first words Yoshua Bengio’s blog – first words Published 10 February 2020 by yoshuabengio I often write comments and posts on social media but these tend to be only temporarily visible, so I thought I needed a place to… 11:16 07 Jun 2006. Since 1993, he has been a professor in the Department of Computer Science and Operational Research at the Université de Montréal. In the old days, conferences were important to speed up the research cycle and have a fast turnaround of ideas. deep learning with pytorch pytorch. Since 1993, he has been a professor in the Department of Computer Science and Operational Research at the Université de Montréal. Future Realities video talks July 3, 2017; Maps and Mapping video talks May 18, 2017; Earth video talks April 18, 2017; Pattern and Meaning video talks February 15, 2017; Future Thoughts and Meeting Points video talks December 12, 2016; Read the blog ; Free Monthly Newsletter. Many papers end up being submitted that in the past would not have been submitted. That is why I have decided to devote some of my energy to thinking about the climate crisis, because I believe it is one of the most serious threats to humanity and the planet that our generation and coming generations will have to deal with. ~ Description from Lex Fridman website At the Deep Learning Summit in Montreal in October 2017, we saw Yoshua Bengio, Yann LeCun and Geoffrey Hinton come together to share their most cutting edge research progressions as well as discussing the landscape of AI and the deep learning ecosystem in Canada. TORONTO — One of the godfathers of artificial intelligence … CIFAR’s Learning in Machines & Brains Program Co-Director, he is also the founder and scientific director of Mila, the Quebec Artificial Intelligence Institute, the world’s largest university-based research group in deep learning. If there is an implicit soft deadline (because if I submit my paper now to JMLR there is uncertainty as to when it will be accepted and available for selection by a conference) then there is an incentive to continue working on the paper until it is better polished, rather than submit it too early. Students sometimes come to me two months before a deadline asking if I have ideas of something which could be achieved in two months. Many people are coming to these conclusions and pledging to travel less, see this article. neural networks and deep learning coursera. email@example.com, Mila – Quebec Artificial Intelligence Institute Students and interns interested in being supervised at Mila should follow the supervision request process on the Mila website. In 2018, Yoshua Bengio ranked as the computer scientist with the most new citations worldwide, thanks to his many high-impact contributions. Yoshua Bengio : Deep learning is an approach to machine learning, and machine learning is a way to try to make machines intelligent by allowing computers to learn from examples about the world around us or about some specific aspect of it. Yoshua Bengio is recognized as one of the world’s leading experts in artificial intelligence and a pioneer in deep learning. Ian Goodfellow, Yoshua Bengio, Aaron Courville An introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, deep learning techniques used in industry, and research perspectives. Previous Post Yoshua Bengio’s blog – first words. If we don’t self-destruct in the meantime. learning goodfellow ian bengio yoshua courville. Such pledges would force the hands of conference organizers to rethink these events. They may contain errors, lack in rigour or simply be rather incremental. Cited 139,000 times, he has been integral to some of the biggest breakthroughs in AI over the past 3 decades. Founded by graduate students out of University of Montreal and Mila, Perceiv AI aims to improve treatment efficacy thanks to refined patient selection.
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