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Blog; Media; About us; Event calendar; Ilya Sutskever A collection of 5 posts Generative Models Research Generative Models - Top Videos & New Papers. For a model to be Generative must fit in a class of statistical models which contrast against discriminative models. Simply, a generative model is one that can generate new data after learning from the dataset. VAE's & GANs are the most. Ilya Sutskever April 10, 2017 Edgar Press Blogs. Artificial sentiment analysis: the new achievement by OpenAI . Today I return to the wonderful Blog maintained by OpenAI. The post I will re-share here for the followers of The Information Age is a description of another achievement of the team of researchers in OpenAI. The post commented about a paper on unsupervised sentiment analysis/reviews. That somebody is Ilya Sutskever and his team at OpenAI. Sutskever, co-founder and research director of OpenAI, and his team at Open AI are developing AI bots smart enough to battle some of the world's best human gamers. In August, OpenAI Five, a team of five neural networks, were defeated by some of the world's top professional players of Dota 2, the wildly popular multiplayer online.

(This is a guest post by Ilya Sutskever on the intuition behind deep learning as well as some very useful practical advice. Many thanks to Ilya for such a heroic effort!) Deep Learning is really popular these days. Big and small companies are getting into it and making money off it. It's hot. There is some substance to the hype, too: large deep neural networks achieve the best results on. Ilya Sutskever. Collected from the entire web and summarized to include only the most important parts of it. Can be used as content for research and analysis. Home Blog Pro Plans B2B solution Login. Advanced searches left . 3/3. Search only database of 7.4 mil and more summaries. Ilya Sutskever Summarized by PlexPage . Last Updated: 14 August 2020 * If you want to update the article please. Ilya Sutskever. 中文名:伊利亚 莎士科尔. 早期:. 加拿大多伦多大学,Hinton实验室,2005年至2012年. 博士后:. 斯坦福大学,Andrew实验室,2012年11月到2012年12月. 工作:. 谷歌,2013年3月至2015年11月. OpenAI联合创始人,2016年1月至今 This post is co-written by Greg Brockman (left) and Ilya Sutskever (right). We've been working on OpenAI for the past three years. Our mission is to ensure that artificial general intelligence (AGI) — which we define as automated systems that outperform humans at most economically valuable work — benefits all of humanity. Today we announced a new legal structure for OpenAI, called OpenAI.

Ilya Sutskever - The Intelligence of Informatio

  1. Ilya Sutskever is a computer scientist working in machine learning and currently serving as the Chief scientist of OpenAI. He has made several major contributions to the field of deep learning. He is the co-inventor, with Alexander Krizhevsky and Geoffrey Hinton, of AlexNet, a convolutional neural network
  2. Alec Radford * 1Jeffrey Wu Rewon Child David Luan 1Dario Amodei ** Ilya Sutskever ** 1 Abstract Natural language processing tasks, such as ques-tion answering, machine translation, reading com-prehension, and summarization, are typically approached with supervised learning on task-specific datasets. We demonstrate that language models begin to learn these tasks without any ex-plicit.
  3. Ilya Sutskever, Ruslan Salakhutdinov, and Joshua Tenenbaum. In Advances in Neural Informa-tion Processing Systems 22 (NIPS*22), 2009 (Sutskever et al., 2009) A simpler unified analysis of budget perceptrons Ilya Sutskever. In the 26th Annual International Conference on Machine Learning (ICML), 2009 (Sutskever, 2009) Using matrices to model symbolic relationships Ilya Sutskever and Geoffrey.
  4. Ilya sutskever blog. Ilya Sutskever is a computer scientist working in machine learning and currently serving as the Chief scientist of OpenAI. He has made several major contributions to the field of deep learning. He is the co-inventor, with Alexander Krizhevsky and Geoffrey Hinton, of AlexNet, a convolutional neural network Die neuesten Tweets von @ilyasu Today my guest is Ilya Sutskever. He.
  5. Ilya Sutskever. OpenAI, Pieter Abbeel. Berkeley AI Research Lab and OpenAI, Wojciech Zaremba. OpenAI. December 2017 NIPS'17: Proceedings of the 31st International Conference on Neural Information Processing Systems. research-article. Open Access. ImageNet classification with deep convolutional neural networks. Alex Krizhevsky . Google Inc, Ilya Sutskever. Google Inc, Geoffrey E. Hinton. OpenAI.
  6. Ilya Sutskever. Co-Founder and Chief Scientist of OpenAI. Verified email at openai.com - Homepage. Machine Learning Neural Networks Artificial Intelligence Deep Learning. Articles Cited by Public access Co-authors. Title. Sort. Sort by citations Sort by year Sort by title. Cited by. Cited by. Year; Imagenet classification with deep convolutional neural networks. A Krizhevsky, I Sutskever, GE.
  7. Ilya Sutskever Google ilyasu@google.com Oriol Vinyals Google vinyals@google.com Quoc V. Le Google qvl@google.com Abstract Deep Neural Networks (DNNs) are powerful models that have achieved excel-lent performance on difficult learning tasks. Although DNNs work well whenever large labeled training sets are available, they cannot be used to map sequences to sequences. In this paper, we present a.

OpenAI gym Blogs: nvidia, nervana Press: fortune, businessinsider, PopSci Greg Brockman, Vicki Cheung, Ludwig Pettersson, Jonas Schneider, John Schulman, Jie Tang, Wojciech Zaremba Reinforcement Learning Neural Turing Machines Wojciech Zaremba, Ilya Sutskever From Ilya Sutskever's essay Fusion of Language and Vision at : Press J to jump to the feed. Press question mark to learn the rest of the keyboard shortcuts. Search within r/GPT3. r/GPT3. Log In Sign Up. User account menu . 161. OpenAI co-founder and chief scientist Ilya Sutskever hints at what may follow GPT-3 in 2021 in essay Fusion of Language and Vision Close. 161. Posted by 7 months. Full episode with Ilya Sutskever (May 2020): https://www.youtube.com/watch?v=13CZPWmke6AClips channel (Lex Clips): https://www.youtube.com/lexclipsMain chann.. Ilya Sutskever is the co-founder of OpenAI, is one of the most cited computer scientist in history with over 165,000 citations, and to me, is one of the most brilliant and insightful minds ever in the field of deep learning. There are very few people in this world who I would rather talk to and brainstorm with about deep learning, intelligence, and life than Ilya, on and off the mic. Support. Ilya Sutskever, who founded and still leads OpenAI, wants to open up AI technology to everyone and ensure that it is safe for the humanity. Ilya Sutskever arrived at this role from a long journey. Sixteen years ago when he went to University of Toronto as an undergraduate student, he knew little about AI, though he was fascinated by computers. At U of Toronto he met Geoffrey Hinton, a.

Ilya Sutskever: I started my Ph.D. just before deep learning became a thing. I was working on a number of different projects, mostly centered around neural networks. My understanding of the field crystallized when collaborating with James Martens on the Hessian-free optimizer. At the time, greedy layer-wise training (training one layer at a time) was extremely popular. Working on the Hessian. Lex Fridman Podcast full episode: https://www.youtube.com/watch?v=U5OD8MjYnOMPlease support this podcast by checking out our sponsors:- Paperspace: https://g.. Ilya Sutskever - The Mathematics Genealogy Project; Neural Networks Blog by Ilya Sutskever; A Neural Network for a New Millennium | Ilya Sutskever, Google PhD Fellowship by Jessica Leigh Johnston, University of Toronto Magazine, Winter 2011; Talking Machines: Machine learning and magical thinking, with Ilya Sutskever, Robohub, January 15, 201 Ilya Sutskever, James Martens, and Geoffrey Hinton, ICML 2011. Using matrices to model symbolic relationship, Ilya Sutskever and Geoffrey Hinton, NIPS*21, 2008. [code, matlab code by Laurens van der Maaten] The Recurrent Temporal Restricted Boltzmann Machine, Ilya Sutskever, Geoffrey Hinton and Graham Taylor, NIPS*21, 2008. Temporal Kernel Recurrent Neural Networks, Ilya Sutskever and Geoffrey.

Reinforcement Learning 'Really Works' for AI Against Pro

Generating Long Sequences with Sparse Transformers. Authors: Rewon Child, Scott Gray, Alec Radford, Ilya Sutskever. Download PDF. Abstract: Transformers are powerful sequence models, but require time and memory that grows quadratically with the sequence length. In this paper we introduce sparse factorizations of the attention matrix which. Ilya Sutskever, James Martens, George E. Dahl, Geoffrey E. Hinton: On the importance of initialization and momentum in deep learning. ICML (3) 2013 : 1139-114 Code Completion with Statistical Language Models Veselin Raychev ETH Z urich veselin.raychev@inf.ethz.ch Martin Vechev ETH Z urich martin.vechev@inf.ethz.c

Tag: Ilya Sutskever (1) http likes 192. What To Expect from Deep Learning in 2016 and Beyond - Jan 11, 2016. Predictions from some of the top names in deep learning, including Ilya Sutskever and Andrej Karpathy, about what to expect in the field over the next 5 years. Tags: 2016 Predictions, Andrej Karpathy, Deep Learning, Ilya Sutskever, RE.WORK. Latest News. What I Learned From Women in. ← back to the blog. Ilya Sutskever's talk transcript at ScaledML 2018 Posted on April 19th, 2018 by Matroid Solutions. Ilya Sutskever, Co-Founder and Research Director of OpenAI. Meta-Learning & Self Play . The Reinforcement Learning Problem. I'll begin with a slightly higher-level introduction by telling you about the reinforcement learning problem. The reinforcement learning framework. Ilya Sutskever is a computer scientist working in machine learning and currently serving as the Chief scientist of OpenAI.He has made several major contributi In nur 3 einfachen Schritten deinen Blog erstellen. Jetzt kostenlos starten

Random Ponderings: A Brief Overview of Deep Learnin

Tag: Ilya Sutskever (1) http likes 192. What To Expect from Deep Learning in 2016 and Beyond - Jan 11, 2016. Predictions from some of the top names in deep learning, including Ilya Sutskever and Andrej Karpathy, about what to expect in the field over the next 5 years. Tags: 2016 Predictions, Andrej Karpathy, Deep Learning, Ilya Sutskever, RE.WORK. Latest News. What I Learned From Women in. [N] OpenAI co-founder and chief scientist Ilya Sutskever possibly hints at what may follow GPT-3 in 2021 in essay Fusion of Language and Vision News Posted by 16 hours ag

Talk by Ilya Sutskever from Google. Given to the Redwood Center for Theoretical Neuroscience at UC Berkeley. Abstract Dictionaries and phrase tables are the basis of modern statistical machine translation systems. I will present a method that can automate the process of generating and extending dictionaries and phrase tables. Our method can. Sequence to Sequence Learning with Neural Networks Deep Neural Networks (DNNs) are powerful models that have achieved excellent performance on difficult learning tasks. Although DNNs work well whenever large labeled training sets are available, they cannot be used to map sequences to sequences. In this paper, we present a general end-to-end approach to sequence learning [

By Ilya Sutskever, Sophia Arakelyan medium.com — Our father who art in n-dimensionshallowed by the backprop,thy loss be minimized,thy gradients unvanished,on earth as it is in Euclidean space Kaggle Ensembling Guide. Model ensembling is a very powerful technique to increase accuracy on a variety of ML tasks. In this article I will share my ensembling approaches for Kaggle Competitions. For the first part we look at creating ensembles from submission files Alex Krizhevsky, Geoffrey Hinton and Ilya Sutskever created a neural network architecture called 'AlexNet' and won Image Classification Challenge (ILSVRC) in 2012. They trained their network on 1.2 million high-resolution images into 1000 different classes with 60 million parameters and 650,000 neurons. The training was done on two GPUs with split layer concept because GPUs were a little. Articles by Ilya Sutskever on Muck Rack. Find Ilya Sutskever's email address, contact information, LinkedIn, Twitter, other social media and more

Ilya Sutskever. 2015. pdf bib Addressing the Rare Word Problem in Neural Machine Translation Thang Luong | Ilya Sutskever | Quoc Le | Oriol Vinyals | Wojciech Zaremba Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Long Papers) Search . Co-authors. Minh-Thang Luong 1. Ilya Sutskever . MathSciNet. Ph.D. University of Toronto 2013. Dissertation: Training Recurrent Neural Networks. Mathematics Subject Classification: 68—Computer science. Advisor 1: Geoffrey Everest Hinton. No students known. If you have additional information or corrections regarding this mathematician, please use the update form. To submit students of this mathematician, please use the new. Ilya Sutskever is the co-founder of OpenAI, is one of the most cited computer scientist in history with over 165,000 citations, and to me, is one of the most brilliant and insightful minds ever in the field of deep learning. There are very few people in this world who I would rather talk to and brainstorm with about deep learning, intelligence, and life than Ilya, on and off the mic. This. Ilya Sutskever is an informatics scientist who works in the field of machine learning and currently serves as OpenAI's Chief Scientist. He is the co-inventor of the renowned neural network AlexNet. He and Oriol Vinyals and Quoc Le invented Sequence to Sequence Learning. Sutskever is also AlphaGo and TensorFlow co-inventor. Sutskever obtained his B.Sc, M.Sc, and Ph.D. in computer science from.

Ilya Sutskever - Summarized by Plex

‪Co-Founder and Chief Scientist of OpenAI‬ - ‪‪246.527-mal zitiert‬‬ - ‪Machine Learning‬ - ‪Neural Networks‬ - ‪Artificial Intelligence‬ - ‪Deep Learning (Sutskever et al., 2013), also works well on very deep neural network optimization problems, pro-vided sensible initialization is used. SGD has a distinct advantage for very large data sets in that it works well with highly stochas-tic gradients that are estimated on relatively small fractions of the training data. HF on the othe Ilya Sutskever received his PhD in 2012 from the University of Toronto working with Geoffrey Hinton. After completing his PhD, he cofounded DNNResearch with Geoffrey Hinton and Alex Krizhevsky which was acquired by Google. He is interested in all aspects of neural networks and their applications BibTeX @INPROCEEDINGS{Krizhevsky_imagenetclassification, author = {Alex Krizhevsky and Ilya Sutskever and Geoffrey E. Hinton}, title = {Imagenet classification with deep convolutional neural networks}, booktitle = {Advances in Neural Information Processing Systems}, year = {}, pages = {2012} Ilya Sutskever. Co-Founder and Chief Scientist of OpenAI. Verified email at openai.com - Homepage. Machine Learning Neural Networks Artificial Intelligence Deep Learning. Articles Cited by Public access Co-authors. Title. Sort. Sort by citations Sort by year Sort by title. Cited by. Cited by. Year; System and method for addressing overfitting in a neural network. GE Hinton, A Krizhevsky, I.

Read writing about Ilya Sutskever in AI Frontiers. Showcasing the frontier technologies and people in artificial intelligence Ilya Sutskever is a computer scientist working in machine learning and currently serving as the Chief scientist of OpenAI. He has made several major contributions to the field of deep learning. He is the co-inventor of AlexNet, a convolutional neural network. He invented Sequence to Sequence Learning, together with Oriol Vinyals and Quoc Le

Ilya Sutskever, OpenAI. Actions. Melissa Padilla moved Ilya Sutskever, OpenAI lower Melissa Padilla moved Ilya Sutskever, OpenAI lower Melissa Padilla added Ilya Sutskever, OpenAI to Digital meat and potatoes - the standard stuff, but what's changed in the last 6 months? Board DI50 October 2020 Zummit. Ilya Sutskever, OpenAI. Home | About | Help | Legal | Blog | @trello | Trello API. Ilya Sutskever ILYASU@GOOGLE.COM Google Inc. Abstract The Recurrent Neural Network (RNN) is an ex-tremely powerful sequence model that is often difficult to train. The Long Short-Term Memory (LSTM) is a specific RNN architecture whose design makes it much easier to train. While wildly successful in practice, the LSTM's archi- tecture appears to be ad-hoc so it is not clear if it is optimal.

Ilya Sutskever - Shiyu_Huang - 博客

KnowledgePicker is a community-driven catalog of learning resources Experiment on AlexNet (Krizhevsky, Alex, Ilya Sutskever, and Geoffrey E. Hinton. Imagenet classification with deep convolutional neural networks. Advances in neural information processing systems. 2012.) - GitHub - jcwchen/tensorflow_alexnet_classification: Experiment on AlexNet (Krizhevsky, Alex, Ilya Sutskever, and Geoffrey E. Hinton

Serendeputy is a newsfeed engine for the open web, creating your newsfeed from tweeters, topics and sites you follow Blog; Contact us; Submit proposal. Ilya Sutskever Thesis Sample. Share on facebook. Share on google. Share on twitter. Share on linkedin. Justia Onward Blog; Justia Patents Ilya Ilya Sutskever has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO). Augmenting neural networks with external memory using reinforcement learning. Patent number: 11080594 Abstract. Filter by Year. OR AND NOT 1. 200

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Cafiac fournit les outils et connaissances qui vous permettront d'acquérir une Intelligence Collective pour résister à ce Tsunami qu'est l'IA, tout en bénéficiant des opportunités qu'offre la transition digitale actuelle. En savoir plus. à propos de Conseils Accompagnement Formation en Intelligence Artificelle et Crypto **Note: there are links all over this post. Every link is unique, even if it has the same words as the link. So, click away for some awesome additional information Tag Ilya Sutskever robot-concept-or-robot-hand-chatbot-pressing-computer-keyboard-enter-stockpack-adobe-stock.jpg Type post Author News Date October 19, 2020 Categorized Artificial Intelligence, Arts & Culture Tagged __featured, AlphaGo, AlphaGo Zero, Backpropagation, Charles Sanders Peirce, Gaming AI (book), Genetic programming, Geoffrey Hinton, George Gilder, Go, GPT3, Ilya Sutskever, John. About this Episode. Episode 85 of Voices in AI features host Byron Reese and Ilya Sutskever of Open AI talk about the future of general intelligence and the ramifications of building a computer smarter than us.. Listen to this one-hour episode or read the full transcript at www.VoicesinAI.com. Transcript Excerpt. Byron Reese: This is Voices in AI brought to you by GigaOm and I'm Byron Reese [syn] 5294 views, 18:45 lecture A Simpler Unified Analysis of Budget Perceptrons as author at Sessions, 5294 view

Today my guest is Ilya Sutskever. He is the co-founder and the chief scientist at OpenAI, one of the most fascinating institutions on the face of this planet. Welcome to the show Ilya. Ilya Sutskever: Great to be here. Just to bring the listeners up to speed, talk a little bit about what OpenAI is, what its mission is, and kind of where it's at. Set the scene for us of what OpenAI does. Great. (Luong, Sutskever et al., 2015) ⇒ Minh-Thang Luong, Ilya Sutskever, Quoc V. Le, Oriol Vinyals, and Wojciech Zaremba. . Addressing the Rare Word Problem in Neural Machine Translation. In: Proceedings of ACL (ACL-2015) 2015 (Vinyals et al., 2015) ⇒ Oriol Vinyals, Lukasz Kaiser, Terry Koo, Slav Petrov, Ilya Sutskever, and Geoffrey Hinton An excerpt of lecture (and Q&A) given by Ilya Sutskever as part of MIT course on Artificial General Intelligence. Video version is available on YouTube. He is the co-founder and Research Director of OpenAI. His recent work, in the past 5 years, has been cited over 73,000 times. He has been the key creative intellect and driver behind some of the biggest breakthrough ideas in deep learning.

Greg Brockma

梯度下降优化算法综述 该文翻译自An overview of gradient descent optimization algorithms。 总所周知,梯度下降算法是机器学习中使用非常广泛的优化算法,也是众多机器学习算法中最常用的优化方法。几乎当前每一个先进的(state-of-the-art)机器学习库或者深度学习库都会包括梯度下降算法的不同变种实现 The type of neural networks used by AlexNet, Convolutional Neutral Networks (CNN), does not work well with sequential data like text.Under the humble title Research Director, Sutskever leads the research and operation of OpenAI. He is the co-inventor of AlexNet, a convolutional neural network. Project Director, Office of the Chief Executive Officer at Tesla, Inc.Director of Machine. Ilya Sutskever is a computer scientist working in machine learning and currently serving as the Chief scientist of OpenAI.[1] He has made several major contributions to the field of deep learning. He is the co-inventor of AlexNet, a convolutional neural network. He invented Sequence to Sequence Learning, together with Oriol Vinyals and Quoc Le. Ilya Sutskever is Cofounder and Research Director of OpenAI. Prior to OpenAI, he was a Research Scientist on the Google Brain Team. Before that, he was a cofounder of DNNresearch. Ilya was a student in the Machine Learning group at the University of Toronto and a postdoc at Stanford University. Topics . Intelligent Machines Artificial intelligence and robots are transforming how we work and.

Ilya Sutskever - Wikipedi

About OpenAI. OpenAI is an AI research and deployment company. Our mission is to ensure that artificial general intelligence benefits all of humanity. OpenAI's mission is to ensure that artificial general intelligence (AGI)—by which we mean highly autonomous systems that outperform humans at most economically valuable work—benefits all of. View Ilya Sutskever's profile, machine learning models, research papers, and code. See more researchers and engineers like Ilya Sutskever. Get our free extension to see links to code for papers anywhere online! Add to Chrome. Add to Firefox. Get paid for your ML skills Log In/Sign Up . Ilya Sutskever Contact author. Evaluating Large Language Models Trained on Code Jul 14, 2021 Mark Chen. Brief Recognition: Ilya Sutskever is co-founder and research director of OpenAI. Prior to OpenAI, Sutskever spent time as a research scientist at the Google Brain Team, and was also a co-founder of DNNresearch. Sutskever was a postdoc in Stanford with Andrew Ng's group. Prior to Stanford, he was a student in the Machine Learning group of Toronto, working with Geoffrey Hinton. Sutskever has.

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Christian Szegedy, Wojciech Zaremba, Ilya Sutskever, Joan Bruna, Dumitru Erhan, Ian Goodfellow, Rob Fergus. Computer Science; Research output: Contribution to conference › Paper › peer-review. Overview; Fingerprint; Abstract. Deep neural networks are highly expressive models that have recently achieved state of the art performance on speech and visual recognition tasks. While their. Ilya Sutskever is a computer scientist working in machine learning and currently serving as the Chief scientist of OpenAI.. He has made several major contributions to the field of deep learning.He is the co-inventor, with Alexander Krizhevsky and Geoffrey Hinton, of AlexNet, a convolutional neural network. Sutskever is also one of the many authors of the AlphaGo paper

SUBWORD LANGUAGE MODELING WITH NEURAL NETWORKS Toma´sˇ Mikolov1, Ilya Sutskever2, Anoop Deoras3, Hai-Son Le4, Stefan Kombrink 1, Jan Cernocky´ˇ 1 1Brno University of Technology, 2University of Toronto, 3Johns Hopkins University, 4Universite´ Paris Sud and LIMSI/CNRS, {imikolov,kombrink,cernocky}@fit.vutbr.cz ilya@cs.utoronto.ca, adeoras@jhu.edu, lehaison@limsi.f Ilya Sutskever; View. Reviews Write New Review. 0 reviews Report a problem with this profile [email protected] Ilya Sutskever Chief Scientist at OpenAI. Videos No videos yet. Tags. Request Information Add to List . Related Speakers View all. Dr. Corrie Block. Futurist, Certified in AI & NLP & Serial Entrepreneur. Ilya Sutskever is a computer scientist working in machine learning and currently serving as the Chief scientist of OpenAI.. He has made several major contributions to the field of deep learning.He is the co-inventor of famous AlexNet, a convolutional neural network.He invented Sequence to Sequence Learning, together with Oriol Vinyals and Quoc Le

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那些深度学习与计算机视觉之路上的大佬们 | Zhiwei's BlogElon Musk's OpenAI Project Identified 4 Big Problems for AIElon Musk’s AI Company OpenAI Plans on Building aMicrosoft partners with OpenAI to advance AI research with

Ilya Sutskever is the co-founder of OpenAI, is one of the most cited computer scientist in history with over 165,000 citations, and to me, is one of the most brilliant and insightful minds ever in the field of deep learning. Sutskever is also AlphaGo and TensorFlow co-inventor. Google. Google. Google. We present a simple regularization technique for Recurrent Neural Networks (RNNs) with Long. Find the perfect Ilya Sutskever stock photos and editorial news pictures from Getty Images. Select from premium Ilya Sutskever of the highest quality Ilya Sutskever is Cofounder and Chief Scientist of OpenAI, which aims to build artificial general intelligence that benefits all of humanity. He leads research at OpenAI and is one of the architects behind the GPT models. Prior to OpenAI, Ilya was co-inventor of AlexNet and Sequence to Sequence Learning, as well as AlphaGo and TensorFlow. He earned his BSc, MSc, and PhD in Computer Science. Ilya Sutskever is a computer scientist working in machine learning and currently serving as the Chief scientist of OpenAI. He has made several major contributions to the field of deep learning. He is the co-inventor, with Alexander Krizhevsky and Geoffrey Hinton, of AlexNet, a convolutional neural network. He invented Sequence to Sequence Learning, together with Oriol Vinyals and Quoc Le.