Podcast appearances and mentions of anima anandkumar

While language models may help generate new ideas, they cannot attack the hard part of science, which is simulating the necessary physics," says AI professor Anima Anandkumar. She explains how her team developed neural operators — AI trained on the finest details of the real world — to bridge this gap, sharing recent projects ranging from improved weather forecasting to cutting-edge medical device design that demonstrate the power of AI with universal physical understanding.

Professor Anima Anandkumar is one of the worlds leading scientists in the field of AI & ML with more than 30k citations, a h-index of 80 and numerous landmark papers such as FourCastNet, which got world-wide coverage for demonstrating how AI can be used to speed up weather prediction. She is the Bren Professor at Caltech, leading a large team of PhD students and post-docs in her AI+Science lab, and has had extensive experience in industry, previously being the Senior Director of AI Resarch at Nvidia. In this episode I speak to her about her background in academia and industry, her journey into machine learning, and the importance of AI for science. We discuss the integration of AI and scientific research, the potential of AI in weather modeling, and the challenges of applying AI to other areas of science. Prof Anandkumar shares examples of successful AI applications in science and explains the concept of AI + science. We also touch on the skepticism surrounding machine learning in physics and the need for data-driven approaches. The conversation explores the potential of AI in the field of science and engineering, specifically in the context of physics-based simulations. Prof. Anandkumar discusses the concept of neural operators, highlights the advantages of neural operators, such as their ability to handle multiple domains and resolutions, and their potential to revolutionize traditional simulation methods. Prof. Anandkumar also emphasizes the importance of integrating AI with scientific knowledge and the need for interdisciplinary collaboration between ML specialists and domain experts. She also emphasizes the importance of integrating AI with traditional numerical solvers and the need for interdisciplinary collaboration between ML specialists and domain experts. Finall she provides advice for PhD students and highlights the significance of attending smaller workshops and conferences to stay updated on emerging ideas in the field.Links:LinkedIn: https://www.linkedin.com/in/anima-anandkumar/Ted Video: https://www.youtube.com/watch?v=6bl5XZ8kOzI FourCastNet: https://arxiv.org/abs/2202.11214Google Scholar: https://scholar.google.com/citations?hl=en&user=bEcLezcAAAAJLab page: http://tensorlab.cms.caltech.edu/users/anima/Takeaways- Anima's background includes both academia and industry, and she sees value in bridging the gap between the two.- AI for science is the integration of AI and scientific research, with the goal of enhancing and accelerating scientific developments.- AI has shown promise in weather modeling, with AI-based weather models outperforming traditional numerical models in terms of speed and accuracy.- The skepticism surrounding machine learning in physics can be addressed by verifying the accuracy of AI models against known physics principles.- Applying AI to other areas of science, such as aircraft design and fluid dynamics, presents challenges in terms of data availability and computational cost. Neural operators have the potential to revolutionize traditional simulation methods in science and engineering.- Integrating AI with scientific knowledge is crucial for the development of effective AI models in the field of physics-based simulations.- Interdisciplinary collaboration between ML specialists and domain experts is essential for advancing AI in science and engineering.- The future of AI in science and engineering lies in the integration of various modalities, such as text, observational data, and physical understanding.Chapters00:00 Introduction and Overview04:29 Professor Anima Anandkumar's Career Journey09:14 Moving to the US for PhD and Transitioning to Industry13:00 Academia vs Industry: Personal Choices and Opportunities17:49 Defining AI for Science and Its Importance22:05 AI's Promise in Enhancing Scientific Discovery28:18 The Success of AI-Based Wea

“While language models may help generate new ideas, they cannot attack the hard part of science, which is simulating the necessary physics,” says AI professor Anima Anandkumar. She explains how her team developed neural operators — AI trained on the finest details of the real world — to bridge this gap, sharing recent projects ranging from improved weather forecasting to cutting-edge medical device design that demonstrate the power of AI with universal physical understanding.

“While language models may help generate new ideas, they cannot attack the hard part of science, which is simulating the necessary physics,” says AI professor Anima Anandkumar. She explains how her team developed neural operators — AI trained on the finest details of the real world — to bridge this gap, sharing recent projects ranging from improved weather forecasting to cutting-edge medical device design that demonstrate the power of AI with universal physical understanding.

"While language models may help generate new ideas, they cannot attack the hard part of science, which is simulating the necessary physics," says AI professor Anima Anandkumar. She explains how her team developed neural operators — AI trained on the finest details of the real world — to bridge this gap, sharing recent projects ranging from improved weather forecasting to cutting-edge medical device design that demonstrate the power of AI with universal physical understanding.

Anima Anandkumar is a Bren Professor at Caltech. Her work developing novel AI algorithms enables and accelerates scientific applications of AI, including scientific simulations, weather forecasting, autonomous drone flights, and drug design. She has received best paper awards at venues such as NeurIPS and the ACM Gordon Bell Special Prize for HPC-Based COVID-19 Research. She holds degrees from the IIT Madras and Cornell University. She has conducted postdoctoral research at MIT. She was previously principal scientist at Amazon Web Services and senior director at Nvidia. Anima's favorite book: Hyperspace (Author: Michio Kaku)(00:00) Introduction(00:10) The Impact of AI on Science(02:25) AI Disrupting Physics(03:02) Challenges in Fluid Dynamics(06:21) Achieving Orders of Magnitude Speedup(10:43) AI Discovering New Laws of Physics(11:45) Complexity of Fluid Dynamics(15:54) Simulating Physical Phenomena with AI(22:23) AI for Drones in Strong Winds(25:16) Optimizing Experiments with AI(28:19) AI in Quantum Chemistry(32:38) Technological Breakthroughs in AI(33:23) Rapid Fire Round--------Where to find Prateek Joshi: Newsletter: https://prateekjoshi.substack.com Website: https://prateekj.com LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19 Twitter: https://twitter.com/prateekvjoshi 

Generative AI-based models can not only learn and understand natural languages — they can learn the very language of nature itself, presenting new possibilities for scientific research. Anima Anandkumar, Bren Professor at Caltech and senior director of AI research at NVIDIA, was recently invited to speak at the President's Council of Advisors on Science and Technology. At the talk, Anandkumar says that generative AI was described as “an inflection point in our lives,” with discussions swirling around how to “harness it to benefit society and humanity through scientific applications.” On the latest episode of NVIDIA's AI Podcast, host Noah Kravitz spoke with Anandkumar on generative AI's potential to make splashes in the scientific community. It can, for example, be fed DNA, RNA, viral and bacterial data to craft a model that understands the language of genomes. That model can help predict dangerous coronavirus variants to accelerate drug and vaccine research. Generative AI can also predict extreme weather events like hurricanes or heat waves. Even with an AI boost, trying to predict natural events is challenging because of the sheer number of variables and unknowns. However, Anandkumar explains that it's not just a matter of upsizing language models or adding compute power — it's also about fine-tuning and setting the right parameters. “Those are the aspects we're working on at NVIDIA and Caltech, in collaboration with many other organizations, to say, ‘How do we capture the multitude of scales present in the natural world?'” she said. “With the limited data we have, can we hope to extrapolate to finer scales? Can we hope to embed the right constraints and come up with physically valid predictions that make a big impact?” Anandkumar adds that to ensure AI models are responsibly and safely used, existing laws must be strengthened to prevent dangerous downstream applications. She also talks about the AI boom, which is transforming the role of humans across industries, and problems yet to be solved. “This is the research advice I give to everyone: the most important thing is the question, not the answer,” she said.

In this episode of ACM ByteCast, Rashmi Mohan hosts Anima Anandkumar, a Bren Professor of Computing at California Institute of Technology (the youngest named chair professor at Caltech) and the Senior Director of AI Research at NVIDIA, where she leads a group developing the next generation of AI algorithms. Her work has spanned healthcare, robotics, and climate change modeling. She is the recipient of a Guggenheim Fellowship and an NSF Career Award, and was most recently named an ACM Fellow, among many other prestigious honors and recognitions. Her work has been extensively covered on PBS, in Wired magazine, MIT Tech Review, YourStory, and Forbes, with a focus on using AI for good. Anima talks about her journey, growing up in a house where computer science was a way of life and family members who served as strong role models. She shares her path in education and research at the highly selective IIT-Madras, the importance of a strong background in math in her computing work, and some of the breakthrough moments in her career, including work on using tensor algorithms to process large datasets. Anima spends some time discussing topic modeling and reinforcement learning, what drives her interests, the possibilities of interdisciplinary collaboration, and the promise and challenges brought about by the age of generative AI.

The ability to learn without instruction is making machines faster and more powerful. 

The ability to learn without instruction is making machines faster and more powerful. 

Today we're joined by Anima Anandkumar, Bren Professor of Computing And Mathematical Sciences at Caltech and Sr Director of AI Research at NVIDIA. In our conversation, we take a broad look at the emerging field of AI for Science, focusing on both practical applications and longer-term research areas. We discuss the latest developments in the area of protein folding, and how much it has evolved since we first discussed it on the podcast in 2018, the impact of generative models and stable diffusion on the space, and the application of neural operators. We also explore the ways in which prediction models like weather models could be improved, how foundation models are helping to drive innovation, and finally, we dig into MineDojo, a new framework built on the popular Minecraft game for embodied agent research, which won a 2022 Outstanding Paper Award at NeurIPS.  The complete show notes for this episode can be found at twimlai.com/go/614

Recent studies show that Vision Transformers (ViTs) exhibit strong robustness against various corruptions. Although this property is partly attributed to the self-attention mechanism, there is still a lack of systematic understanding. In this paper, we examine the role of self-attention in learning robust representations. Our study is motivated by the intriguing properties of the emerging visual grouping in Vision Transformers, which indicates that self-attention may promote robustness through improved mid-level representations. We further propose a family of fully attentional networks (FANs) that strengthen this capability by incorporating an attentional channel processing design. We validate the design com-prehensively on various hierarchical backbones. 2022: Daquan Zhou, Zhiding Yu, Enze Xie, Chaowei Xiao, Anima Anandkumar, Jiashi Feng, J. Álvarez Ranked #2 on Domain Generalization on ImageNet-C (using extra training data) https://arxiv.org/pdf/2204.12451v2.pdf

What are the practical aspects of AI? Index's Erin Price-Wright speaks with Alexandr Wang, Founder of Scale AI, Anima Anandkumar, Director of ML Research, NVIDIA and Martin Chavez, Sixth Street Partners.

In this Artificial Intelligence & Equality podcast, Senior Fellow Anja Kaspersen sits down with Caltech's Professor Anima Anandkumar, also director of machine learning research at NVIDIA, for a captivating conversation. They discuss the "Trinity of AI" (data, algorithms, and infrastructure), Anandkumar's work on tensor algorithms, and the state of AI research, including the critical importance of diversity in the field. For more, please go to carnegiecouncil.org. 

Anima Anandkumar is a world-renowned AI researcher with brilliant answers to some of the most complicated AI questions. In this episode of More Intelligent Tomorrow, we talk about AI's role in science and how future AGI systems might behave.

In this work, we propose a camera self-calibration algorithm for generic cameras with arbitrary non-linear distortions. We jointly learn the geometry of the scene and the accurate camera parameters without any calibration objects. Our camera model consists of a pinhole model, a fourth order radial distortion, and a generic noise model that can learn arbitrary non-linear camera distortions. While traditional self-calibration algorithms mostly rely on geometric constraints, we additionally incorporate photometric consistency. This requires learning the geometry of the scene, and we use Neural Radiance Fields (NeRF). 2021: Yoonwoo Jeong, Seokjun Ahn, C. Choy, Anima Anandkumar, Minsu Cho, Jaesik Park https://arxiv.org/pdf/2108.13826v2.pdf

Show Notes:Artificial Intelligence (AI) (01:00)Love of the liminal spaces (03:20)Philosophy and connection to AI (07:30)Advaita VedantaThe science of creativity (10:00)Never run out of problems to solve (11:20)Supervised and Unsupervised Learning (14:00)Doris Tsao at Caltech (15:30)AGI = Artificial General Intelligence (16:30)TED talks (19:40)2018 "Trinity of Artificial Intelligence" 2021 "Can Artificial Intelligence be conscious too?"What can you not do by simply scaling up? (20:20)Bongard-LOGO Challenge (21:00)Edge AI (23:30)Doris Tsao - what is the role of feedback in how we study things? (26:10)“What I cannot create, I do not understand” -Richard Feynman (26:40)The alignment problem (28:40)GPT model (37:00)The importance of metrics (38:50)Flourishing (39:00)Nick Bostrom paper clip thought experiment (39:50)Social media (41:00)Advocacy for women and minorities (43:00)Timnit Gebru (44:00)Joy Buolamwini (44:00)AI4All (45:30)Caltech Wave Program (45:40)me too. Movement (47:40)Curriculum for a flourishing society (50:00)Frederick Eberhardt at CaltechLightning Round (54:20)Book: Michio Kaku HyperspacePassion: DancingHeart sing: Rethinking how we interact with the world; yogaScrewed up: Twitter presenceFind Anima online:http://tensorlab.cms.caltech.edu/users/anima/LinkedIn: https://www.linkedin.com/in/anima-anandkumar/'Five-Cut Fridays' five-song music playlist series  Anima's playlist

We can dream, we can hallucinate, we can create — so how do we build those capabilities into AI? Deep-learning expert Anima Anandkumar and distinguished theoretical physicist John Ellis discuss the potential for artificial intelligence to one day collaborate with us in attacking the biggest unanswered questions in physics — questions which have outwitted humans for years. In a conversation ranging from the quantum nature of subatomic reality to the distributed intelligence of the octopus, our guests explore how AI might one day tackle questions which are conceptually boundless and infinite. “This would be truly stealing the theoretical physicists' lunch,” says Ellis. To find out more, join hosts Mark Rayner and Abha Eli Phoboo as they speak with Anima and John on the subject of Creative AI. Anima Anandkumar is a leading machine-learning researcher whose career spans academia and industry. John Ellis is one of the world's most respected theoretical physicists.

Anima Anandkumar is an accomplished AI researcher in both academia and in industry. She is the Bren professor at Caltech CMS department and director of machine learning research at NVIDIA. Previously, Anima was a principal scientist at Amazon Web Service, where she enabled machine learning on the cloud infrastructure. Anima is the recipient of numerous awards and honors and has been featured in documentaries and articles by PBS, Wired, MIT Technology review, Forbes and many others. In this episode we learn about the “trinity of the deep learning revolution,” how the next generation of AI will bring the “mind & body” together, and the detrimental impacts fostered by a lack of diversity in tech. ----- To learn more about EqualAI, visit our website: https://www.equalai.org/ You can also follow us on Twitter: @ai_equal

Anima Anandkumar joins us to discuss her work as a researcher in machine learning at NVIDIA and a professor at CalTech, and how they often go hand-in-hand and inform each other. In this episode you will learn: • Anima’s recent discovery of yoga [5:20] • How does Anima balance her work? [12:25] • Applications of Anima’s work [14:45] • Tensors [22:55] • Anima’s favorite NVIDIA projects [35:35] • What tools does NVIDIA use? [41:55] • CalTech interdisciplinary science [47:41] • The path to generalized artificial intelligence [57:19] • The skills to have to get into this field [1:00:27] • LinkedIn questions for Anima [1:07:03] Additional materials: www.superdatascience.com/473

You can find out more about the show and our guests at https://www.capgemini.com/service/intelligent-industry/A big thank you to our guests for this episode. Anima Anandkumar, Director of ML Research at Nvidia, and Pierre-Adrien Hanania, Global Offer Leader AI in the Public Sector for Capgemini, and Frank Wammes, Executive Vice President, Capgemini.Intelligent Industry is a show about reframing your thinking to tackle the biggest problems in business and society. Through new approaches to technology, design, data and communication we will look to the future of a new intelligent world.Intelligent Industry is a podcast from Capgemini. This podcast is hosted by Vito Labate, Vice President of Global Sector Marketing for Capgemini and produced by Capgemini and Adrift Entertainment.

A new Episode of the Serie "The AI Deal of Trust" in the unique AI Chanel of Trust "Exponential Trust Times " by AI Exponential Thinker. An authentic discussion with Dr. Anima Anandkumar; a Bren professor at Caltech and a director of machine learning research at NVIDIA. She was recognized by her peers with more than 20 awards from young investigator from the Air Force and Army research offices to Good Tech 2018 by Nytimes. She is one of youngest Female AI researcher in Silicon Valley with great Faculty fellowships from Microsoft, Google, Facebook and incredible best paper awards. and Dr. Lobna Karoui; Executive AI Business Leader and Exponential Digital Transformer at Fortune 500 with two decades experience in building AI products and services for millions of users. She is the president of AI Exponential thinker with a target to inspire and empower 1 Million young boys and girls, horizon 2025, about Trust Technologies and AI Opportunities. She is an international Speaker and interviewer recognized as an AI Expert by Forbes, Bloomberg and MIT. Follow us and subscribe AI Exponential Thinker, LinkedIn, Facebook and Instagram or via contact@aiexponentialthinker.com to interact with our Guests, meet great speakers and mentors from great companies such as Amazon, WEF, Harvard and more or via contact@aiexponentialthinker.com to interact with our Guests, meet great speakers and mentors from great companies such as Amazon, WEF, Harvard and more

Humans of AI: Stories, Not Stats is an interview series with AI researchers to get to know them better as people. We don't talk about AI or their work or the stats of their life like what college they went to. They share what they think about, what they are insecure about, what they get excited about. They share the stories of their day-to-day life. In [Re-sliced] Humans of AI: Stories Not Stats, we have collated answers from all guests to the same question. All thanks to the efforts of Varshini Subhash and Mukul Khanna! All interviews in the series are available at http://humanstories.ai. They were recorded in September and October 2020. The host is Devi Parikh, an Associate Professor in the School of Interactive Computing at Georgia Tech and a Research Scientist at Facebook AI Research (FAIR). Find out more about her here or follow her on Twitter. The guests are Dhruv Batra, Meg Mitchell, Vladlen Koltun, Antonio Torralba, Y-Lan Boureau, Jitendra Malik, Hugo Larochelle, Joelle Pineau, Noah Smith, Bill Freeman, Aishwarya Agrawal, Ayanna Howard, Timnit Gebru, Derek Hoiem, Anima Anandkumar, Rahul Sukthankar, Jeff Dean and Jia-Bin Huang. --- Send in a voice message: https://anchor.fm/humanstoriesai/message

Humans of AI: Stories, Not Stats is an interview series with AI researchers to get to know them better as people. We don't talk about AI or their work or the stats of their life like what college they went to. They share what they think about, what they are insecure about, what they get excited about. They share the stories of their day-to-day life. In [Re-sliced] Humans of AI: Stories Not Stats, we have collated answers from all guests to the same question. All thanks to the efforts of Varshini Subhash and Mukul Khanna! All interviews in the series are available at http://humanstories.ai. They were recorded in September and October 2020. The host is Devi Parikh, an Associate Professor in the School of Interactive Computing at Georgia Tech and a Research Scientist at Facebook AI Research (FAIR). Find out more about her here or follow her on Twitter. The guests are Dhruv Batra, Meg Mitchell, Vladlen Koltun, Antonio Torralba, Y-Lan Boureau, Jitendra Malik, Hugo Larochelle, Joelle Pineau, Noah Smith, Bill Freeman, Aishwarya Agrawal, Ayanna Howard, Timnit Gebru, Derek Hoiem, Anima Anandkumar, Rahul Sukthankar, Jeff Dean and Jia-Bin Huang. --- Send in a voice message: https://anchor.fm/humanstoriesai/message

Humans of AI: Stories, Not Stats is an interview series with AI researchers to get to know them better as people. We don't talk about AI or their work or the stats of their life like what college they went to. They share what they think about, what they are insecure about, what they get excited about. They share the stories of their day-to-day life. In [Re-sliced] Humans of AI: Stories Not Stats, we have collated answers from all guests to the same question. All thanks to the efforts of Varshini Subhash and Mukul Khanna! All interviews in the series are available at http://humanstories.ai. They were recorded in September and October 2020. The host is Devi Parikh, an Associate Professor in the School of Interactive Computing at Georgia Tech and a Research Scientist at Facebook AI Research (FAIR). Find out more about her here or follow her on Twitter. The guests are Dhruv Batra, Meg Mitchell, Vladlen Koltun, Antonio Torralba, Y-Lan Boureau, Jitendra Malik, Hugo Larochelle, Joelle Pineau, Noah Smith, Bill Freeman, Aishwarya Agrawal, Ayanna Howard, Timnit Gebru, Derek Hoiem, Anima Anandkumar, Rahul Sukthankar, Jeff Dean and Jia-Bin Huang. --- Send in a voice message: https://anchor.fm/humanstoriesai/message

Humans of AI: Stories, Not Stats is an interview series with AI researchers to get to know them better as people. We don't talk about AI or their work or the stats of their life like what college they went to. They share what they think about, what they are insecure about, what they get excited about. They share the stories of their day-to-day life. In [Re-sliced] Humans of AI: Stories Not Stats, we have collated answers from all guests to the same question. All thanks to the efforts of Varshini Subhash and Mukul Khanna! All interviews in the series are available at http://humanstories.ai. They were recorded in September and October 2020. The host is Devi Parikh, an Associate Professor in the School of Interactive Computing at Georgia Tech and a Research Scientist at Facebook AI Research (FAIR). Find out more about her here or follow her on Twitter. The guests are Dhruv Batra, Meg Mitchell, Vladlen Koltun, Antonio Torralba, Y-Lan Boureau, Jitendra Malik, Hugo Larochelle, Joelle Pineau, Noah Smith, Bill Freeman, Aishwarya Agrawal, Ayanna Howard, Timnit Gebru, Derek Hoiem, Anima Anandkumar, Rahul Sukthankar, Jeff Dean and Jia-Bin Huang. --- Send in a voice message: https://anchor.fm/humanstoriesai/message

Humans of AI: Stories, Not Stats is an interview series with AI researchers to get to know them better as people. We don't talk about AI or their work or the stats of their life like what college they went to. They share what they think about, what they are insecure about, what they get excited about. They share the stories of their day-to-day life. In [Re-sliced] Humans of AI: Stories Not Stats, we have collated answers from all guests to the same question. All thanks to the efforts of Varshini Subhash and Mukul Khanna! All interviews in the series are available at http://humanstories.ai. They were recorded in September and October 2020. The host is Devi Parikh, an Associate Professor in the School of Interactive Computing at Georgia Tech and a Research Scientist at Facebook AI Research (FAIR). Find out more about her here or follow her on Twitter. The guests are Dhruv Batra, Meg Mitchell, Vladlen Koltun, Antonio Torralba, Y-Lan Boureau, Jitendra Malik, Hugo Larochelle, Joelle Pineau, Noah Smith, Bill Freeman, Aishwarya Agrawal, Ayanna Howard, Timnit Gebru, Derek Hoiem, Anima Anandkumar, Rahul Sukthankar, Jeff Dean and Jia-Bin Huang. --- Send in a voice message: https://anchor.fm/humanstoriesai/message

Humans of AI: Stories, Not Stats is an interview series with AI researchers to get to know them better as people. We don't talk about AI or their work or the stats of their life like what college they went to. They share what they think about, what they are insecure about, what they get excited about. They share the stories of their day-to-day life. In [Re-sliced] Humans of AI: Stories Not Stats, we have collated answers from all guests to the same question. All thanks to the efforts of Varshini Subhash and Mukul Khanna! All interviews in the series are available at http://humanstories.ai. They were recorded in September and October 2020. The host is Devi Parikh, an Associate Professor in the School of Interactive Computing at Georgia Tech and a Research Scientist at Facebook AI Research (FAIR). Find out more about her here or follow her on Twitter. The guests are Dhruv Batra, Meg Mitchell, Vladlen Koltun, Antonio Torralba, Y-Lan Boureau, Jitendra Malik, Hugo Larochelle, Joelle Pineau, Noah Smith, Bill Freeman, Aishwarya Agrawal, Ayanna Howard, Timnit Gebru, Derek Hoiem, Anima Anandkumar, Rahul Sukthankar, Jeff Dean and Jia-Bin Huang. --- Send in a voice message: https://anchor.fm/humanstoriesai/message

Humans of AI: Stories, Not Stats is an interview series with AI researchers to get to know them better as people. We don't talk about AI or their work or the stats of their life like what college they went to. They share what they think about, what they are insecure about, what they get excited about. They share the stories of their day-to-day life. In [Re-sliced] Humans of AI: Stories Not Stats, we have collated answers from all guests to the same question. All thanks to the efforts of Varshini Subhash and Mukul Khanna! All interviews in the series are available at http://humanstories.ai. They were recorded in September and October 2020. The host is Devi Parikh, an Associate Professor in the School of Interactive Computing at Georgia Tech and a Research Scientist at Facebook AI Research (FAIR). Find out more about her here or follow her on Twitter. The guests are Dhruv Batra, Meg Mitchell, Vladlen Koltun, Antonio Torralba, Y-Lan Boureau, Jitendra Malik, Hugo Larochelle, Joelle Pineau, Noah Smith, Bill Freeman, Aishwarya Agrawal, Ayanna Howard, Timnit Gebru, Derek Hoiem, Anima Anandkumar, Rahul Sukthankar, Jeff Dean and Jia-Bin Huang. --- Send in a voice message: https://anchor.fm/humanstoriesai/message

Humans of AI: Stories, Not Stats is an interview series with AI researchers to get to know them better as people. We don't talk about AI or their work or the stats of their life like what college they went to. They share what they think about, what they are insecure about, what they get excited about. They share the stories of their day-to-day life. In [Re-sliced] Humans of AI: Stories Not Stats, we have collated answers from all guests to the same question. All thanks to the efforts of Varshini Subhash and Mukul Khanna! All interviews in the series are available at http://humanstories.ai. They were recorded in September and October 2020. The host is Devi Parikh, an Associate Professor in the School of Interactive Computing at Georgia Tech and a Research Scientist at Facebook AI Research (FAIR). Find out more about her here or follow her on Twitter. The guests are Dhruv Batra, Meg Mitchell, Vladlen Koltun, Antonio Torralba, Y-Lan Boureau, Jitendra Malik, Hugo Larochelle, Joelle Pineau, Noah Smith, Bill Freeman, Aishwarya Agrawal, Ayanna Howard, Timnit Gebru, Derek Hoiem, Anima Anandkumar, Rahul Sukthankar, Jeff Dean and Jia-Bin Huang. --- Send in a voice message: https://anchor.fm/humanstoriesai/message

Humans of AI: Stories, Not Stats is an interview series with AI researchers to get to know them better as people. We don't talk about AI or their work or the stats of their life like what college they went to. They share what they think about, what they are insecure about, what they get excited about. They share the stories of their day-to-day life. In [Re-sliced] Humans of AI: Stories Not Stats, we have collated answers from all guests to the same question. All thanks to the efforts of Varshini Subhash and Mukul Khanna! All interviews in the series are available at http://humanstories.ai. They were recorded in September and October 2020. The host is Devi Parikh, an Associate Professor in the School of Interactive Computing at Georgia Tech and a Research Scientist at Facebook AI Research (FAIR). Find out more about her here or follow her on Twitter. The guests are Dhruv Batra, Meg Mitchell, Vladlen Koltun, Antonio Torralba, Y-Lan Boureau, Jitendra Malik, Hugo Larochelle, Joelle Pineau, Noah Smith, Bill Freeman, Aishwarya Agrawal, Ayanna Howard, Timnit Gebru, Derek Hoiem, Anima Anandkumar, Rahul Sukthankar, Jeff Dean and Jia-Bin Huang. --- Send in a voice message: https://anchor.fm/humanstoriesai/message

Humans of AI: Stories, Not Stats is an interview series with AI researchers to get to know them better as people. We don't talk about AI or their work or the stats of their life like what college they went to. They share what they think about, what they are insecure about, what they get excited about. They share the stories of their day-to-day life. In [Re-sliced] Humans of AI: Stories Not Stats, we have collated answers from all guests to the same question. All thanks to the efforts of Varshini Subhash and Mukul Khanna! All interviews in the series are available at http://humanstories.ai. They were recorded in September and October 2020. The host is Devi Parikh, an Associate Professor in the School of Interactive Computing at Georgia Tech and a Research Scientist at Facebook AI Research (FAIR). Find out more about her here or follow her on Twitter. The guests are Dhruv Batra, Meg Mitchell, Vladlen Koltun, Antonio Torralba, Y-Lan Boureau, Jitendra Malik, Hugo Larochelle, Joelle Pineau, Noah Smith, Bill Freeman, Aishwarya Agrawal, Ayanna Howard, Timnit Gebru, Derek Hoiem, Anima Anandkumar, Rahul Sukthankar, Jeff Dean and Jia-Bin Huang. --- Send in a voice message: https://anchor.fm/humanstoriesai/message

Humans of AI: Stories, Not Stats is an interview series with AI researchers to get to know them better as people. We don't talk about AI or their work or the stats of their life like what college they went to. They share what they think about, what they are insecure about, what they get excited about. They share the stories of their day-to-day life. In [Re-sliced] Humans of AI: Stories Not Stats, we have collated answers from all guests to the same question. All thanks to the efforts of Varshini Subhash and Mukul Khanna! All interviews in the series are available at http://humanstories.ai. They were recorded in September and October 2020. The host is Devi Parikh, an Associate Professor in the School of Interactive Computing at Georgia Tech and a Research Scientist at Facebook AI Research (FAIR). Find out more about her here or follow her on Twitter. The guests are Dhruv Batra, Meg Mitchell, Vladlen Koltun, Antonio Torralba, Y-Lan Boureau, Jitendra Malik, Hugo Larochelle, Joelle Pineau, Noah Smith, Bill Freeman, Aishwarya Agrawal, Ayanna Howard, Timnit Gebru, Derek Hoiem, Anima Anandkumar, Rahul Sukthankar, Jeff Dean and Jia-Bin Huang. --- Send in a voice message: https://anchor.fm/humanstoriesai/message

Humans of AI: Stories, Not Stats is an interview series with AI researchers to get to know them better as people. We don't talk about AI or their work or the stats of their life like what college they went to. They share what they think about, what they are insecure about, what they get excited about. They share the stories of their day-to-day life. In [Re-sliced] Humans of AI: Stories Not Stats, we have collated answers from all guests to the same question. All thanks to the efforts of Varshini Subhash and Mukul Khanna! All interviews in the series are available at http://humanstories.ai. They were recorded in September and October 2020. The host is Devi Parikh, an Associate Professor in the School of Interactive Computing at Georgia Tech and a Research Scientist at Facebook AI Research (FAIR). Find out more about her here or follow her on Twitter. The guests are Dhruv Batra, Meg Mitchell, Vladlen Koltun, Antonio Torralba, Y-Lan Boureau, Jitendra Malik, Hugo Larochelle, Joelle Pineau, Noah Smith, Bill Freeman, Aishwarya Agrawal, Ayanna Howard, Timnit Gebru, Derek Hoiem, Anima Anandkumar, Rahul Sukthankar, Jeff Dean and Jia-Bin Huang. --- Send in a voice message: https://anchor.fm/humanstoriesai/message

Humans of AI: Stories, Not Stats is an interview series with AI researchers to get to know them better as people. We don't talk about AI or their work or the stats of their life like what college they went to. They share what they think about, what they are insecure about, what they get excited about. They share the stories of their day-to-day life. In [Re-sliced] Humans of AI: Stories Not Stats, we have collated answers from all guests to the same question. All thanks to the efforts of Varshini Subhash and Mukul Khanna! All interviews in the series are available at http://humanstories.ai. They were recorded in September and October 2020. The host is Devi Parikh, an Associate Professor in the School of Interactive Computing at Georgia Tech and a Research Scientist at Facebook AI Research (FAIR). Find out more about her here or follow her on Twitter. The guests are Dhruv Batra, Meg Mitchell, Vladlen Koltun, Antonio Torralba, Y-Lan Boureau, Jitendra Malik, Hugo Larochelle, Joelle Pineau, Noah Smith, Bill Freeman, Aishwarya Agrawal, Ayanna Howard, Timnit Gebru, Derek Hoiem, Anima Anandkumar, Rahul Sukthankar, Jeff Dean and Jia-Bin Huang. --- Send in a voice message: https://anchor.fm/humanstoriesai/message

Humans of AI: Stories, Not Stats is an interview series with AI researchers to get to know them better as people. We don't talk about AI or their work or the stats of their life like what college they went to. They share what they think about, what they are insecure about, what they get excited about. They share the stories of their day-to-day life. In [Re-sliced] Humans of AI: Stories Not Stats, we have collated answers from all guests to the same question. All thanks to the efforts of Varshini Subhash and Mukul Khanna! All interviews in the series are available at http://humanstories.ai. They were recorded in September and October 2020. The host is Devi Parikh, an Associate Professor in the School of Interactive Computing at Georgia Tech and a Research Scientist at Facebook AI Research (FAIR). Find out more about her here or follow her on Twitter. The guests are Dhruv Batra, Meg Mitchell, Vladlen Koltun, Antonio Torralba, Y-Lan Boureau, Jitendra Malik, Hugo Larochelle, Joelle Pineau, Noah Smith, Bill Freeman, Aishwarya Agrawal, Ayanna Howard, Timnit Gebru, Derek Hoiem, Anima Anandkumar, Rahul Sukthankar, Jeff Dean and Jia-Bin Huang. --- Send in a voice message: https://anchor.fm/humanstoriesai/message

Humans of AI: Stories, Not Stats is an interview series with AI researchers to get to know them better as people. We don't talk about AI or their work or the stats of their life like what college they went to. They share what they think about, what they are insecure about, what they get excited about. They share the stories of their day-to-day life. In [Re-sliced] Humans of AI: Stories Not Stats, we have collated answers from all guests to the same question. All thanks to the efforts of Varshini Subhash and Mukul Khanna! All interviews in the series are available at http://humanstories.ai. They were recorded in September and October 2020. The host is Devi Parikh, an Associate Professor in the School of Interactive Computing at Georgia Tech and a Research Scientist at Facebook AI Research (FAIR). Find out more about her here or follow her on Twitter. The guests are Dhruv Batra, Meg Mitchell, Vladlen Koltun, Antonio Torralba, Y-Lan Boureau, Jitendra Malik, Hugo Larochelle, Joelle Pineau, Noah Smith, Bill Freeman, Aishwarya Agrawal, Ayanna Howard, Timnit Gebru, Derek Hoiem, Anima Anandkumar, Rahul Sukthankar, Jeff Dean and Jia-Bin Huang. --- Send in a voice message: https://anchor.fm/humanstoriesai/message

Humans of AI: Stories, Not Stats is an interview series with AI researchers to get to know them better as people. We don't talk about AI or their work or the stats of their life like what college they went to. They share what they think about, what they are insecure about, what they get excited about. They share the stories of their day-to-day life. In [Re-sliced] Humans of AI: Stories Not Stats, we have collated answers from all guests to the same question. All thanks to the efforts of Varshini Subhash and Mukul Khanna! All interviews in the series are available at http://humanstories.ai. They were recorded in September and October 2020. The host is Devi Parikh, an Associate Professor in the School of Interactive Computing at Georgia Tech and a Research Scientist at Facebook AI Research (FAIR). Find out more about her here or follow her on Twitter. The guests are Dhruv Batra, Meg Mitchell, Vladlen Koltun, Antonio Torralba, Y-Lan Boureau, Jitendra Malik, Hugo Larochelle, Joelle Pineau, Noah Smith, Bill Freeman, Aishwarya Agrawal, Ayanna Howard, Timnit Gebru, Derek Hoiem, Anima Anandkumar, Rahul Sukthankar, Jeff Dean and Jia-Bin Huang. --- Send in a voice message: https://anchor.fm/humanstoriesai/message

Humans of AI: Stories, Not Stats is an interview series with AI researchers to get to know them better as people. We don't talk about AI or their work or the stats of their life like what college they went to. They share what they think about, what they are insecure about, what they get excited about. They share the stories of their day-to-day life. In [Re-sliced] Humans of AI: Stories Not Stats, we have collated answers from all guests to the same question. All thanks to the efforts of Varshini Subhash and Mukul Khanna! All interviews in the series are available at http://humanstories.ai. They were recorded in September and October 2020. The host is Devi Parikh, an Associate Professor in the School of Interactive Computing at Georgia Tech and a Research Scientist at Facebook AI Research (FAIR). Find out more about her here or follow her on Twitter. The guests are Dhruv Batra, Meg Mitchell, Vladlen Koltun, Antonio Torralba, Y-Lan Boureau, Jitendra Malik, Hugo Larochelle, Joelle Pineau, Noah Smith, Bill Freeman, Aishwarya Agrawal, Ayanna Howard, Timnit Gebru, Derek Hoiem, Anima Anandkumar, Rahul Sukthankar, Jeff Dean and Jia-Bin Huang. --- Send in a voice message: https://anchor.fm/humanstoriesai/message

Humans of AI: Stories, Not Stats is an interview series with AI researchers to get to know them better as people. We don't talk about AI or their work or the stats of their life like what college they went to. They share what they think about, what they are insecure about, what they get excited about. They share the stories of their day-to-day life. In [Re-sliced] Humans of AI: Stories Not Stats, we have collated answers from all guests to the same question. All thanks to the efforts of Varshini Subhash and Mukul Khanna! All interviews in the series are available at http://humanstories.ai. They were recorded in September and October 2020. The host is Devi Parikh, an Associate Professor in the School of Interactive Computing at Georgia Tech and a Research Scientist at Facebook AI Research (FAIR). Find out more about her here or follow her on Twitter. The guests are Dhruv Batra, Meg Mitchell, Vladlen Koltun, Antonio Torralba, Y-Lan Boureau, Jitendra Malik, Hugo Larochelle, Joelle Pineau, Noah Smith, Bill Freeman, Aishwarya Agrawal, Ayanna Howard, Timnit Gebru, Derek Hoiem, Anima Anandkumar, Rahul Sukthankar, Jeff Dean and Jia-Bin Huang. --- Send in a voice message: https://anchor.fm/humanstoriesai/message

Humans of AI: Stories, Not Stats is an interview series with AI researchers to get to know them better as people. We don't talk about AI or their work or the stats of their life like what college they went to. They share what they think about, what they are insecure about, what they get excited about. They share the stories of their day-to-day life. In [Re-sliced] Humans of AI: Stories Not Stats, we have collated answers from all guests to the same question. All thanks to the efforts of Varshini Subhash and Mukul Khanna! All interviews in the series are available at http://humanstories.ai. They were recorded in September and October 2020. The host is Devi Parikh, an Associate Professor in the School of Interactive Computing at Georgia Tech and a Research Scientist at Facebook AI Research (FAIR). Find out more about her here or follow her on Twitter. The guests are Dhruv Batra, Meg Mitchell, Vladlen Koltun, Antonio Torralba, Y-Lan Boureau, Jitendra Malik, Hugo Larochelle, Joelle Pineau, Noah Smith, Bill Freeman, Aishwarya Agrawal, Ayanna Howard, Timnit Gebru, Derek Hoiem, Anima Anandkumar, Rahul Sukthankar, Jeff Dean and Jia-Bin Huang. --- Send in a voice message: https://anchor.fm/humanstoriesai/message

Humans of AI: Stories, Not Stats is an interview series with AI researchers to get to know them better as people. We don't talk about AI or their work or the stats of their life like what college they went to. They share what they think about, what they are insecure about, what they get excited about. They share the stories of their day-to-day life. In [Re-sliced] Humans of AI: Stories Not Stats, we have collated answers from all guests to the same question. All thanks to the efforts of Varshini Subhash and Mukul Khanna! All interviews in the series are available at http://humanstories.ai. They were recorded in September and October 2020. The host is Devi Parikh, an Associate Professor in the School of Interactive Computing at Georgia Tech and a Research Scientist at Facebook AI Research (FAIR). Find out more about her here or follow her on Twitter. The guests are Dhruv Batra, Meg Mitchell, Vladlen Koltun, Antonio Torralba, Y-Lan Boureau, Jitendra Malik, Hugo Larochelle, Joelle Pineau, Noah Smith, Bill Freeman, Aishwarya Agrawal, Ayanna Howard, Timnit Gebru, Derek Hoiem, Anima Anandkumar, Rahul Sukthankar, Jeff Dean and Jia-Bin Huang. --- Send in a voice message: https://anchor.fm/humanstoriesai/message

Humans of AI: Stories, Not Stats is an interview series with AI researchers to get to know them better as people. We don't talk about AI or their work or the stats of their life like what college they went to. They share what they think about, what they are insecure about, what they get excited about. They share the stories of their day-to-day life. In [Re-sliced] Humans of AI: Stories Not Stats, we have collated answers from all guests to the same question. All thanks to the efforts of Varshini Subhash and Mukul Khanna! All interviews in the series are available at http://humanstories.ai. They were recorded in September and October 2020. The host is Devi Parikh, an Associate Professor in the School of Interactive Computing at Georgia Tech and a Research Scientist at Facebook AI Research (FAIR). Find out more about her here or follow her on Twitter. The guests are Dhruv Batra, Meg Mitchell, Vladlen Koltun, Antonio Torralba, Y-Lan Boureau, Jitendra Malik, Hugo Larochelle, Joelle Pineau, Noah Smith, Bill Freeman, Aishwarya Agrawal, Ayanna Howard, Timnit Gebru, Derek Hoiem, Anima Anandkumar, Rahul Sukthankar, Jeff Dean and Jia-Bin Huang. --- Send in a voice message: https://anchor.fm/humanstoriesai/message

Humans of AI: Stories, Not Stats is an interview series with AI researchers to get to know them better as people. We don't talk about AI or their work or the stats of their life like what college they went to. They share what they think about, what they are insecure about, what they get excited about. They share the stories of their day-to-day life. In [Re-sliced] Humans of AI: Stories Not Stats, we have collated answers from all guests to the same question. All thanks to the efforts of Varshini Subhash and Mukul Khanna! All interviews in the series are available at http://humanstories.ai. They were recorded in September and October 2020. The host is Devi Parikh, an Associate Professor in the School of Interactive Computing at Georgia Tech and a Research Scientist at Facebook AI Research (FAIR). Find out more about her here or follow her on Twitter. The guests are Dhruv Batra, Meg Mitchell, Vladlen Koltun, Antonio Torralba, Y-Lan Boureau, Jitendra Malik, Hugo Larochelle, Joelle Pineau, Noah Smith, Bill Freeman, Aishwarya Agrawal, Ayanna Howard, Timnit Gebru, Derek Hoiem, Anima Anandkumar, Rahul Sukthankar, Jeff Dean and Jia-Bin Huang. --- Send in a voice message: https://anchor.fm/humanstoriesai/message

Humans of AI: Stories, Not Stats is an interview series with AI researchers to get to know them better as people. We don't talk about AI or their work or the stats of their life like what college they went to. They share what they think about, what they are insecure about, what they get excited about. They share the stories of their day-to-day life. In [Re-sliced] Humans of AI: Stories Not Stats, we have collated answers from all guests to the same question. All thanks to the efforts of Varshini Subhash and Mukul Khanna! All interviews in the series are available at http://humanstories.ai. They were recorded in September and October 2020. The host is Devi Parikh, an Associate Professor in the School of Interactive Computing at Georgia Tech and a Research Scientist at Facebook AI Research (FAIR). Find out more about her here or follow her on Twitter. The guests are Dhruv Batra, Meg Mitchell, Vladlen Koltun, Antonio Torralba, Y-Lan Boureau, Jitendra Malik, Hugo Larochelle, Joelle Pineau, Noah Smith, Bill Freeman, Aishwarya Agrawal, Ayanna Howard, Timnit Gebru, Derek Hoiem, Anima Anandkumar, Rahul Sukthankar, Jeff Dean and Jia-Bin Huang. --- Send in a voice message: https://anchor.fm/humanstoriesai/message

Humans of AI: Stories, Not Stats is an interview series with AI researchers to get to know them better as people. We don't talk about AI or their work or the stats of their life like what college they went to. They share what they think about, what they are insecure about, what they get excited about. They share the stories of their day-to-day life. In [Re-sliced] Humans of AI: Stories Not Stats, we have collated answers from all guests to the same question. All thanks to the efforts of Varshini Subhash and Mukul Khanna! All interviews in the series are available at http://humanstories.ai. They were recorded in September and October 2020. The host is Devi Parikh, an Associate Professor in the School of Interactive Computing at Georgia Tech and a Research Scientist at Facebook AI Research (FAIR). Find out more about her here or follow her on Twitter. The guests are Dhruv Batra, Meg Mitchell, Vladlen Koltun, Antonio Torralba, Y-Lan Boureau, Jitendra Malik, Hugo Larochelle, Joelle Pineau, Noah Smith, Bill Freeman, Aishwarya Agrawal, Ayanna Howard, Timnit Gebru, Derek Hoiem, Anima Anandkumar, Rahul Sukthankar, Jeff Dean and Jia-Bin Huang. --- Send in a voice message: https://anchor.fm/humanstoriesai/message

Humans of AI: Stories, Not Stats is an interview series with AI researchers to get to know them better as people. We don't talk about AI or their work or the stats of their life like what college they went to. They share what they think about, what they are insecure about, what they get excited about. They share the stories of their day-to-day life. In [Re-sliced] Humans of AI: Stories Not Stats, we have collated answers from all guests to the same question. All thanks to the efforts of Varshini Subhash and Mukul Khanna! All interviews in the series are available at http://humanstories.ai. They were recorded in September and October 2020. The host is Devi Parikh, an Associate Professor in the School of Interactive Computing at Georgia Tech and a Research Scientist at Facebook AI Research (FAIR). Find out more about her here or follow her on Twitter. The guests are Dhruv Batra, Meg Mitchell, Vladlen Koltun, Antonio Torralba, Y-Lan Boureau, Jitendra Malik, Hugo Larochelle, Joelle Pineau, Noah Smith, Bill Freeman, Aishwarya Agrawal, Ayanna Howard, Timnit Gebru, Derek Hoiem, Anima Anandkumar, Rahul Sukthankar, Jeff Dean and Jia-Bin Huang. --- Send in a voice message: https://anchor.fm/humanstoriesai/message

Humans of AI: Stories, Not Stats is an interview series with AI researchers to get to know them better as people. We don't talk about AI or their work or the stats of their life like what college they went to. They share what they think about, what they are insecure about, what they get excited about. They share the stories of their day-to-day life. In [Re-sliced] Humans of AI: Stories Not Stats, we have collated answers from all guests to the same question. All thanks to the efforts of Varshini Subhash and Mukul Khanna! All interviews in the series are available at http://humanstories.ai. They were recorded in September and October 2020. The host is Devi Parikh, an Associate Professor in the School of Interactive Computing at Georgia Tech and a Research Scientist at Facebook AI Research (FAIR). Find out more about her here or follow her on Twitter. The guests are Dhruv Batra, Meg Mitchell, Vladlen Koltun, Antonio Torralba, Y-Lan Boureau, Jitendra Malik, Hugo Larochelle, Joelle Pineau, Noah Smith, Bill Freeman, Aishwarya Agrawal, Ayanna Howard, Timnit Gebru, Derek Hoiem, Anima Anandkumar, Rahul Sukthankar, Jeff Dean and Jia-Bin Huang. --- Send in a voice message: https://anchor.fm/humanstoriesai/message

Humans of AI: Stories, Not Stats is an interview series with AI researchers to get to know them better as people. We don't talk about AI or their work or the stats of their life like what college they went to. They share what they think about, what they are insecure about, what they get excited about. They share the stories of their day-to-day life. In [Re-sliced] Humans of AI: Stories Not Stats, we have collated answers from all guests to the same question. All thanks to the efforts of Varshini Subhash and Mukul Khanna! All interviews in the series are available at http://humanstories.ai. They were recorded in September and October 2020. The host is Devi Parikh, an Associate Professor in the School of Interactive Computing at Georgia Tech and a Research Scientist at Facebook AI Research (FAIR). Find out more about her here or follow her on Twitter. The guests are Dhruv Batra, Meg Mitchell, Vladlen Koltun, Antonio Torralba, Y-Lan Boureau, Jitendra Malik, Hugo Larochelle, Joelle Pineau, Noah Smith, Bill Freeman, Aishwarya Agrawal, Ayanna Howard, Timnit Gebru, Derek Hoiem, Anima Anandkumar, Rahul Sukthankar, Jeff Dean and Jia-Bin Huang. --- Send in a voice message: https://anchor.fm/humanstoriesai/message

Humans of AI: Stories, Not Stats is an interview series with AI researchers to get to know them better as people. We don't talk about AI or their work or the stats of their life like what college they went to. They share what they think about, what they are insecure about, what they get excited about. They share the stories of their day-to-day life. In [Re-sliced] Humans of AI: Stories Not Stats, we have collated answers from all guests to the same question. All thanks to the efforts of Varshini Subhash and Mukul Khanna! All interviews in the series are available at http://humanstories.ai. They were recorded in September and October 2020. The host is Devi Parikh, an Associate Professor in the School of Interactive Computing at Georgia Tech and a Research Scientist at Facebook AI Research (FAIR). Find out more about her here or follow her on Twitter. The guests are Dhruv Batra, Meg Mitchell, Vladlen Koltun, Antonio Torralba, Y-Lan Boureau, Jitendra Malik, Hugo Larochelle, Joelle Pineau, Noah Smith, Bill Freeman, Aishwarya Agrawal, Ayanna Howard, Timnit Gebru, Derek Hoiem, Anima Anandkumar, Rahul Sukthankar, Jeff Dean and Jia-Bin Huang. --- Send in a voice message: https://anchor.fm/humanstoriesai/message

Humans of AI: Stories, Not Stats is an interview series with AI researchers to get to know them better as people. We don't talk about AI or their work or the stats of their life like what college they went to. They share what they think about, what they are insecure about, what they get excited about. They share the stories of their day-to-day life. In [Re-sliced] Humans of AI: Stories Not Stats, we have collated answers from all guests to the same question. All thanks to the efforts of Varshini Subhash and Mukul Khanna! All interviews in the series are available at http://humanstories.ai. They were recorded in September and October 2020. The host is Devi Parikh, an Associate Professor in the School of Interactive Computing at Georgia Tech and a Research Scientist at Facebook AI Research (FAIR). Find out more about her here or follow her on Twitter. The guests are Dhruv Batra, Meg Mitchell, Vladlen Koltun, Antonio Torralba, Y-Lan Boureau, Jitendra Malik, Hugo Larochelle, Joelle Pineau, Noah Smith, Bill Freeman, Aishwarya Agrawal, Ayanna Howard, Timnit Gebru, Derek Hoiem, Anima Anandkumar, Rahul Sukthankar, Jeff Dean and Jia-Bin Huang. --- Send in a voice message: https://anchor.fm/humanstoriesai/message

Humans of AI: Stories, Not Stats is an interview series with AI researchers to get to know them better as people. We don't talk about AI or their work or the stats of their life like what college they went to. They share what they think about, what they are insecure about, what they get excited about. They share the stories of their day-to-day life. In [Re-sliced] Humans of AI: Stories Not Stats, we have collated answers from all guests to the same question. All thanks to the efforts of Varshini Subhash and Mukul Khanna! All interviews in the series are available at http://humanstories.ai. They were recorded in September and October 2020. The host is Devi Parikh, an Associate Professor in the School of Interactive Computing at Georgia Tech and a Research Scientist at Facebook AI Research (FAIR). Find out more about her here or follow her on Twitter. The guests are Dhruv Batra, Meg Mitchell, Vladlen Koltun, Antonio Torralba, Y-Lan Boureau, Jitendra Malik, Hugo Larochelle, Joelle Pineau, Noah Smith, Bill Freeman, Aishwarya Agrawal, Ayanna Howard, Timnit Gebru, Derek Hoiem, Anima Anandkumar, Rahul Sukthankar, Jeff Dean and Jia-Bin Huang. --- Send in a voice message: https://anchor.fm/humanstoriesai/message

Humans of AI: Stories, Not Stats is an interview series with AI researchers to get to know them better as people. We don't talk about AI or their work or the stats of their life like what college they went to. They share what they think about, what they are insecure about, what they get excited about. They share the stories of their day-to-day life. In [Re-sliced] Humans of AI: Stories Not Stats, we have collated answers from all guests to the same question. All thanks to the efforts of Varshini Subhash and Mukul Khanna! All interviews in the series are available at http://humanstories.ai. They were recorded in September and October 2020. The host is Devi Parikh, an Associate Professor in the School of Interactive Computing at Georgia Tech and a Research Scientist at Facebook AI Research (FAIR). Find out more about her here or follow her on Twitter. The guests are Dhruv Batra, Meg Mitchell, Vladlen Koltun, Antonio Torralba, Y-Lan Boureau, Jitendra Malik, Hugo Larochelle, Joelle Pineau, Noah Smith, Bill Freeman, Aishwarya Agrawal, Ayanna Howard, Timnit Gebru, Derek Hoiem, Anima Anandkumar, Rahul Sukthankar, Jeff Dean and Jia-Bin Huang. --- Send in a voice message: https://anchor.fm/humanstoriesai/message

Humans of AI: Stories, Not Stats is an interview series with AI researchers to get to know them better as people. We don't talk about AI or their work or the stats of their life like what college they went to. They share what they think about, what they are insecure about, what they get excited about. They share the stories of their day-to-day life. In [Re-sliced] Humans of AI: Stories Not Stats, we have collated answers from all guests to the same question. All thanks to the efforts of Varshini Subhash and Mukul Khanna! All interviews in the series are available at http://humanstories.ai. They were recorded in September and October 2020. The host is Devi Parikh, an Associate Professor in the School of Interactive Computing at Georgia Tech and a Research Scientist at Facebook AI Research (FAIR). Find out more about her here or follow her on Twitter. The guests are Dhruv Batra, Meg Mitchell, Vladlen Koltun, Antonio Torralba, Y-Lan Boureau, Jitendra Malik, Hugo Larochelle, Joelle Pineau, Noah Smith, Bill Freeman, Aishwarya Agrawal, Ayanna Howard, Timnit Gebru, Derek Hoiem, Anima Anandkumar, Rahul Sukthankar, Jeff Dean and Jia-Bin Huang. --- Send in a voice message: https://anchor.fm/humanstoriesai/message

Humans of AI: Stories, Not Stats is an interview series with AI researchers to get to know them better as people. We don't talk about AI or their work or the stats of their life like what college they went to. They share what they think about, what they are insecure about, what they get excited about. They share the stories of their day-to-day life. In [Re-sliced] Humans of AI: Stories Not Stats, we have collated answers from all guests to the same question. All thanks to the efforts of Varshini Subhash and Mukul Khanna! All interviews in the series are available at http://humanstories.ai. They were recorded in September and October 2020. The host is Devi Parikh, an Associate Professor in the School of Interactive Computing at Georgia Tech and a Research Scientist at Facebook AI Research (FAIR). Find out more about her here or follow her on Twitter. The guests are Dhruv Batra, Meg Mitchell, Vladlen Koltun, Antonio Torralba, Y-Lan Boureau, Jitendra Malik, Hugo Larochelle, Joelle Pineau, Noah Smith, Bill Freeman, Aishwarya Agrawal, Ayanna Howard, Timnit Gebru, Derek Hoiem, Anima Anandkumar, Rahul Sukthankar, Jeff Dean and Jia-Bin Huang. --- Send in a voice message: https://anchor.fm/humanstoriesai/message

Humans of AI: Stories, Not Stats is an interview series with AI researchers to get to know them better as people. We don't talk about AI or their work or the stats of their life like what college they went to. They share what they think about, what they are insecure about, what they get excited about. They share the stories of their day-to-day life. In [Re-sliced] Humans of AI: Stories Not Stats, we have collated answers from all guests to the same question. All thanks to the efforts of Varshini Subhash and Mukul Khanna! All interviews in the series are available at http://humanstories.ai. They were recorded in September and October 2020. The host is Devi Parikh, an Associate Professor in the School of Interactive Computing at Georgia Tech and a Research Scientist at Facebook AI Research (FAIR). Find out more about her here or follow her on Twitter. The guests are Dhruv Batra, Meg Mitchell, Vladlen Koltun, Antonio Torralba, Y-Lan Boureau, Jitendra Malik, Hugo Larochelle, Joelle Pineau, Noah Smith, Bill Freeman, Aishwarya Agrawal, Ayanna Howard, Timnit Gebru, Derek Hoiem, Anima Anandkumar, Rahul Sukthankar, Jeff Dean and Jia-Bin Huang. --- Send in a voice message: https://anchor.fm/humanstoriesai/message

Humans of AI: Stories, Not Stats is an interview series with AI researchers to get to know them better as people. We don't talk about AI or their work or the stats of their life like what college they went to. They share what they think about, what they are insecure about, what they get excited about. They share the stories of their day-to-day life. In [Re-sliced] Humans of AI: Stories Not Stats, we have collated answers from all guests to the same question. All thanks to the efforts of Varshini Subhash and Mukul Khanna! All interviews in the series are available at http://humanstories.ai. They were recorded in September and October 2020. The host is Devi Parikh, an Associate Professor in the School of Interactive Computing at Georgia Tech and a Research Scientist at Facebook AI Research (FAIR). Find out more about her here or follow her on Twitter. The guests are Dhruv Batra, Meg Mitchell, Vladlen Koltun, Antonio Torralba, Y-Lan Boureau, Jitendra Malik, Hugo Larochelle, Joelle Pineau, Noah Smith, Bill Freeman, Aishwarya Agrawal, Ayanna Howard, Timnit Gebru, Derek Hoiem, Anima Anandkumar, Rahul Sukthankar, Jeff Dean and Jia-Bin Huang. --- Send in a voice message: https://anchor.fm/humanstoriesai/message

Humans of AI: Stories, Not Stats is an interview series with AI researchers to get to know them better as people. We don't talk about AI or their work or the stats of their life like what college they went to. They share what they think about, what they are insecure about, what they get excited about. They share the stories of their day-to-day life. In [Re-sliced] Humans of AI: Stories Not Stats, we have collated answers from all guests to the same question. All thanks to the efforts of Varshini Subhash and Mukul Khanna! All interviews in the series are available at http://humanstories.ai. They were recorded in September and October 2020. The host is Devi Parikh, an Associate Professor in the School of Interactive Computing at Georgia Tech and a Research Scientist at Facebook AI Research (FAIR). Find out more about her here or follow her on Twitter. The guests are Dhruv Batra, Meg Mitchell, Vladlen Koltun, Antonio Torralba, Y-Lan Boureau, Jitendra Malik, Hugo Larochelle, Joelle Pineau, Noah Smith, Bill Freeman, Aishwarya Agrawal, Ayanna Howard, Timnit Gebru, Derek Hoiem, Anima Anandkumar, Rahul Sukthankar, Jeff Dean and Jia-Bin Huang. --- Send in a voice message: https://anchor.fm/humanstoriesai/message

Humans of AI: Stories, Not Stats is an interview series with AI researchers to get to know them better as people. We don't talk about AI or their work or the stats of their life like what college they went to. They share what they think about, what they are insecure about, what they get excited about. They share the stories of their day-to-day life. In [Re-sliced] Humans of AI: Stories Not Stats, we have collated answers from all guests to the same question. All thanks to the efforts of Varshini Subhash and Mukul Khanna! All interviews in the series are available at http://humanstories.ai. They were recorded in September and October 2020. The host is Devi Parikh, an Associate Professor in the School of Interactive Computing at Georgia Tech and a Research Scientist at Facebook AI Research (FAIR). Find out more about her here or follow her on Twitter. The guests are Dhruv Batra, Meg Mitchell, Vladlen Koltun, Antonio Torralba, Y-Lan Boureau, Jitendra Malik, Hugo Larochelle, Joelle Pineau, Noah Smith, Bill Freeman, Aishwarya Agrawal, Ayanna Howard, Timnit Gebru, Derek Hoiem, Anima Anandkumar, Rahul Sukthankar, Jeff Dean and Jia-Bin Huang. --- Send in a voice message: https://anchor.fm/humanstoriesai/message

Humans of AI: Stories, Not Stats is an interview series with AI researchers to get to know them better as people. We don't talk about AI or their work or the stats of their life like what college they went to. They share what they think about, what they are insecure about, what they get excited about. They share the stories of their day-to-day life. In [Re-sliced] Humans of AI: Stories Not Stats, we have collated answers from all guests to the same question. All thanks to the efforts of Varshini Subhash and Mukul Khanna! All interviews in the series are available at http://humanstories.ai. They were recorded in September and October 2020. The host is Devi Parikh, an Associate Professor in the School of Interactive Computing at Georgia Tech and a Research Scientist at Facebook AI Research (FAIR). Find out more about her here or follow her on Twitter. The guests are Dhruv Batra, Meg Mitchell, Vladlen Koltun, Antonio Torralba, Y-Lan Boureau, Jitendra Malik, Hugo Larochelle, Joelle Pineau, Noah Smith, Bill Freeman, Aishwarya Agrawal, Ayanna Howard, Timnit Gebru, Derek Hoiem, Anima Anandkumar, Rahul Sukthankar, Jeff Dean and Jia-Bin Huang. --- Send in a voice message: https://anchor.fm/humanstoriesai/message

Humans of AI: Stories, Not Stats is an interview series with AI researchers to get to know them better as people. We don't talk about AI or their work or the stats of their life like what college they went to. They share what they think about, what they are insecure about, what they get excited about. They share the stories of their day-to-day life. In [Re-sliced] Humans of AI: Stories Not Stats, we have collated answers from all guests to the same question. All thanks to the efforts of Varshini Subhash and Mukul Khanna! All interviews in the series are available at http://humanstories.ai. They were recorded in September and October 2020. The host is Devi Parikh, an Associate Professor in the School of Interactive Computing at Georgia Tech and a Research Scientist at Facebook AI Research (FAIR). Find out more about her here or follow her on Twitter. The guests are Dhruv Batra, Meg Mitchell, Vladlen Koltun, Antonio Torralba, Y-Lan Boureau, Jitendra Malik, Hugo Larochelle, Joelle Pineau, Noah Smith, Bill Freeman, Aishwarya Agrawal, Ayanna Howard, Timnit Gebru, Derek Hoiem, Anima Anandkumar, Rahul Sukthankar, Jeff Dean and Jia-Bin Huang. --- Send in a voice message: https://anchor.fm/humanstoriesai/message

Humans of AI: Stories, Not Stats is an interview series with AI researchers to get to know them better as people. We don't talk about AI or their work or the stats of their life like what college they went to. They share what they think about, what they are insecure about, what they get excited about. They share the stories of their day-to-day life. In [Re-sliced] Humans of AI: Stories Not Stats, we have collated answers from all guests to the same question. All thanks to the efforts of Varshini Subhash and Mukul Khanna! All interviews in the series are available at http://humanstories.ai. They were recorded in September and October 2020. The host is Devi Parikh, an Associate Professor in the School of Interactive Computing at Georgia Tech and a Research Scientist at Facebook AI Research (FAIR). Find out more about her here or follow her on Twitter. The guests are Dhruv Batra, Meg Mitchell, Vladlen Koltun, Antonio Torralba, Y-Lan Boureau, Jitendra Malik, Hugo Larochelle, Joelle Pineau, Noah Smith, Bill Freeman, Aishwarya Agrawal, Ayanna Howard, Timnit Gebru, Derek Hoiem, Anima Anandkumar, Rahul Sukthankar, Jeff Dean and Jia-Bin Huang. --- Send in a voice message: https://anchor.fm/humanstoriesai/message

Humans of AI: Stories, Not Stats is an interview series with AI researchers to get to know them better as people. We don't talk about AI or their work or the stats of their life like what college they went to. They share what they think about, what they are insecure about, what they get excited about. They share the stories of their day-to-day life. In [Re-sliced] Humans of AI: Stories Not Stats, we have collated answers from all guests to the same question. All thanks to the efforts of Varshini Subhash and Mukul Khanna! All interviews in the series are available at http://humanstories.ai. They were recorded in September and October 2020. The host is Devi Parikh, an Associate Professor in the School of Interactive Computing at Georgia Tech and a Research Scientist at Facebook AI Research (FAIR). Find out more about her here or follow her on Twitter. The guests are Dhruv Batra, Meg Mitchell, Vladlen Koltun, Antonio Torralba, Y-Lan Boureau, Jitendra Malik, Hugo Larochelle, Joelle Pineau, Noah Smith, Bill Freeman, Aishwarya Agrawal, Ayanna Howard, Timnit Gebru, Derek Hoiem, Anima Anandkumar, Rahul Sukthankar, Jeff Dean and Jia-Bin Huang. --- Send in a voice message: https://anchor.fm/humanstoriesai/message

Humans of AI: Stories, Not Stats is an interview series with AI researchers to get to know them better as people. We don't talk about AI or their work or the stats of their life like what college they went to. They share what they think about, what they are insecure about, what they get excited about. They share the stories of their day-to-day life. In [Re-sliced] Humans of AI: Stories Not Stats, we have collated answers from all guests to the same question. All thanks to the efforts of Varshini Subhash and Mukul Khanna! All interviews in the series are available at http://humanstories.ai. They were recorded in September and October 2020. The host is Devi Parikh, an Associate Professor in the School of Interactive Computing at Georgia Tech and a Research Scientist at Facebook AI Research (FAIR). Find out more about her here or follow her on Twitter. The guests are Dhruv Batra, Meg Mitchell, Vladlen Koltun, Antonio Torralba, Y-Lan Boureau, Jitendra Malik, Hugo Larochelle, Joelle Pineau, Noah Smith, Bill Freeman, Aishwarya Agrawal, Ayanna Howard, Timnit Gebru, Derek Hoiem, Anima Anandkumar, Rahul Sukthankar, Jeff Dean and Jia-Bin Huang. --- Send in a voice message: https://anchor.fm/humanstoriesai/message

A new Episode of the Serie "The AI Deal of Trust" in the unique AI Chanel of Trust by AI Exponential Thinker. Our Guest is Dr. Anima Anandkumar is a Bren professor at Caltech and a director of machine learning research at NVIDIA. She was recognized by her peers with more than 20 awards from young investigator from the Air Force and Army research offices to Good Tech 2018 by Nytimes. She is one of youngest Female AI researcher in Silicon Valley with great Faculty fellowships from Microsoft, Google, Facebook and incredible best paper awards. Dr. Karoui is pleased to welcome Dr. Anandkumar in this new podcast episode. Dr. Lobna Karoui is an Executive AI Strategy Growth Advisor and Exponential Digital Transformer for Fortune 500 & CAC40 with two decades experience in building AI products and services for millions of users. She is the president of AI Exponential thinker with a target to inspire and empower 1 Million young boys and girls, horizon 2025, about Trust Technologies and AI Opportunities. She is an international Speaker and interviewer recognized as an AI Expert by Forbes, Bloomberg and MIT. Follow us and subscribe www.aiexponentialthinker.com, linkedin, Facebook and Instagram or via contact@aiexponentialthinker.com to interact with our Guests, meet great speakers and mentors from great companies such as Amazon, WEF, Harvard and more

Anima Anandkumar is a Bren Professor at the Caltech Computing + Mathematical Sciences (CMS) Department and a director of machine learning research at NVIDIA. Find out more about her on her homepage. Humans of AI: Stories, Not Stats is an interview series with AI researchers to get to know them better as people. We don't talk about AI or their work or the stats of their life like what college they went to. They share what they think about, what they are insecure about, what they get excited about. They share the stories of their day-to-day life. Videos of these interviews are available at humanstories.ai. The host is Devi Parikh, an Associate Professor in the School of Interactive Computing at Georgia Tech and a Research Scientist at Facebook AI Research (FAIR). Find out more about her at her homepage or follow her on Twitter. This interview was recorded on October 8, 2020. --- Send in a voice message: https://anchor.fm/humanstoriesai/message

Anima Anandkumar is setting a personal record this week with seven of her team’s research papers accepted to NeurIPS 2020. The 34th annual Neural Information Processing Systems conference is taking place virtually from Dec. 6-12. The premier event on neural networks, NeurIPS draws thousands of the world’s best researchers every year. Anandkumar, NVIDIA’s director of machine learning research and Bren professor at CalTech’s CMS Department, joined AI Podcast host Noah Kravitz to talk about what to expect at the conference, and to explain what she sees as the future of AI. https://blogs.nvidia.com/blog/2020/12/09/neurips-nvidia-caltech-anima-anandkumar/

The COVID-19 pandemic has accelerated our adoption of AI in our day to day habits. Consumer spending habits are changing, corporations are becoming comfortable with employees working from home and shortly we will begin to see the impact on the job market. Will your organization be ready to train new employees, retrain current employees and recruit new candidates on a global scale? Join Anima as she dives deeper into the rising opportunities with AI.

In this episode I had the privilege of speaking with Anima Anandkumar about the her background, her work at NVIDIA, and how she views the future of Machine Learning and AI. Anima is the Head of ML and AI research at NVIDIA. She also is a Bren Professor at CalTech. She has been honored by multiple organizations for her contributions to the field of AI research and she has given multiple talks on topics ranging from the future of AI to ethics in the data science community.Her Ted Talk: https://www.youtube.com/watch?v=zkJ5lEuGQDwHer YouTube Channel: https://www.youtube.com/user/animakumar82Her Twitter: https://twitter.com/AnimaAnandkumar

It's great to be back! (The video of this episode is out on Youtube - (https://youtu.be/tTRTbVxKuUM). Today's episode is a very special one and brings down the curtains on our series 'From Insti and Beyond', which we ran in collaboration with the Alumni Relations Team of IIT Madras. Our guest today is Prof. Anima Anandkumar, a Bren Professor at Caltech and the Director of ML Research at NVIDIA. Prof. Anima has acquired near-legendary status in both corporate research and academia and in this episode she talks about her life journey so far. We also talk to her about why she chose research as her path, about the AI revolution today and much more. Prof. Anima is also very vocal about furthering the cause of women in STEM and we talk to her about diversity (or lack thereof) in technical fields, the effect of patriarchy on Indian and American culture, and what we can do to create a better future. An episode peppered with fascinating anecdotes and a lot of sound life advice.

What are current attitudes towards AI Ethics from within the tech industry? How can we make computer science a more inclusive discipline for women? What does it mean to democratize AI? Why should we? How can we? To answer these questions and more we welcome Dr. Anima Anandkumar to the show.  Anima holds dual positions in academia and industry. In academia - she is a professor in the Caltech Computing and Mathematical Sciences department. In Industry - she is the director of machine learning research at NVIDIA. At NVIDIA, she is leading the research group that develops next-generation AI algorithms. Anima is also the youngest named chair professor at Caltech, where she co-leads the AI4science initiative.   Full show notes for this episode can be found at Radicalai.org.    If you enjoy this episode please make sure to subscribe, submit a rating and review, and connect with us on twitter at twitter.com/radicalaipod

Anima Anandkumar is Director of Machine Learning at NVIDIA and Bren professor at Caltech. Anima has led research in tensor-algebraic methods, large-scale learning, deep learning, probabilistic models, and non-convex optimization, among others. She is the youngest named professor at Caltech, the highest honor bestowed to an individual faculty. She is part of the World Economic Forum's Expert Network consisting of leading experts from academia, business, government, and the media. She is the recipient of several awards including Alfred. P. Sloan Fellowship, NSF Career Award, Young investigator awards from the Air Force and Army research offices, Faculty fellowships from Microsoft, Google and Adobe, and several best paper awards. Anima Anandkumar is also deeply passionate about democratizing AI and eliminating bias in the data we use to build AI systems as well as the other subtle ways bias infiltrates research, device-building, and industry. She is spearheading important research and groundbreaking work that is changing our model for AI and its impact on the world we all live in.

453: NVIDIA Director and Caltech Professor of AI Research Anima Anandkumar discusses the synergy of working in both academia and in the industry, from her previous positions at AWS and University of California, Irvine, to her current research at NVIDIA and Caltech. She shares how AI can accelerate scientific discovery with engineering capabilities, such as powerful GPUs, that continuously push AI forward at a very fast pace. We also discuss what is known as the Trinity of the deep-learning revolution: algorithms, data, and compute infrastructure. Anima shares insights on scaling, self-supervision techniques, embodied intelligence, and her thoughts on the future of AI. Finally, we end with a discussion of Anima's mission of globally democratizing and diversifying AI.

453: NVIDIA Director and Caltech Professor of AI Research Anima Anandkumar discusses the synergy of working in both academia and in the industry, from her previous positions at AWS and University of California, Irvine, to her current research at NVIDIA and Caltech. She shares how AI can accelerate scientific discovery with engineering capabilities, such as powerful GPUs, that continuously push AI forward at a very fast pace. We also discuss what is known as the Trinity of the deep-learning revolution: algorithms, data, and compute infrastructure. Anima shares insights on scaling, self-supervision techniques, embodied intelligence, and her thoughts on the future of AI. Finally, we end with a discussion of Anima’s mission of globally democratizing and diversifying AI.

Anima Anandkumar On Machine Learning In Healthcare ApplySci Stanford by Applysci

While at the NVIDIA GPU Technology Conference 2019 in Silicon Valley, Chris enjoyed an inspiring conversation with Anima Anandkumar. Clearly a role model - not only for women - but for anyone in the world of AI, Anima relayed how her lifelong passion for mathematics and engineering started when she was only 3 years old in India, and ultimately led to her pioneering deep learning research at Amazon Web Services, CalTech, and NVIDIA.

While at the NVIDIA GPU Technology Conference 2019 in Silicon Valley, Chris enjoyed an inspiring conversation with Anima Anandkumar. Clearly a role model - not only for women - but for anyone in the world of AI, Anima relayed how her lifelong passion for mathematics and engineering started when she was only 3 years old in India, and ultimately led to her pioneering deep learning research at Amazon Web Services, CalTech, and NVIDIA.

If you’re listening to this podcast, you’ve likely seen some of the press coverage and discussion surrounding the release, or lack thereof, of OpenAI’s new GPT-2 Language Model. The announcement caused quite a stir, with reactions spanning confusion, frustration, concern, and many points in between. Several days later, many open questions remained about the model and the way the release was handled. Seeing the continued robust discourse, and wanting to offer the community a forum for exploring this topic with more nuance than Twitter’s 280 characters allow, we convened the inaugural “TWiML Live” panel. I was joined on the panel by Amanda Askell and Miles Brundage of OpenAI, Anima Anandkumar of NVIDIA and CalTech, Robert Munro of Lilt, and Stephen Merity, the latter being some of the most outspoken voices in the online discussion of this issue. Our discussion thoroughly explored the many issues surrounding the GPT-2 release controversy. We cover the basics like what language models are and why they’re important, and why this announcement caused such a stir, and dig deep into why the lack of a full release of the model raised concerns for so many. The discussion initially aired via Youtube Live and we’re happy to share it with you via the podcast as well. To be clear, both the panel discussion and live stream format were a bit of an experiment for us and we’d love to hear your thoughts on it. Would you like to see, or hear, more of these TWiML Live conversations? If so, what issues would you like us to take on? If you have feedback for us on the format or if you’d like to join the discussion around OpenAI’s GPT-2 model, head to the show notes page for this show at twimlai.com/talk/234 and leave us a comment.

In this episode of our AI Rewind series, we’re back with Anima Anandkumar, Bren Professor at Caltech and now Director of Machine Learning Research at NVIDIA. Anima joins us to discuss her take on trends in the broader Machine Learning field in 2018 and beyond. In our conversation, we cover not only technical breakthroughs in the field but also those around inclusivity and diversity. For this episode's complete show notes, visit twimlai.com/talk/215. For more information on the AI Rewind series, visit twimlai.com/rewind18.

Happy Holidays, everyone! Melanie and Mark wrap up a great year by reminiscing about some of their favorite episodes! We also talk about the big news of the year, our favorite articles, and what’s coming up for the GCP Podcast in 2019. Cool things of the week Kubernetes and GKE for developers: a year of Cloud Console blog Reducing gender bias in Google Translate blog Cloud Security Command Center is now in beta and ready to use blog Main content Podcast accomplishments! We have awesome new intro and outro music, new website, new YouTube videos! We hit 1 million and then 2 million downloads! Mark and the podcast are celebrating their three year anniversary! Top 10 most downloaded episodes of all time! GCP Podcast Episode 111: Google Cloud Platform with Sam Ramji podcast GCP Podcast Episode 112: Percy.io with Mike Fotinakis podcast GCP Podcast Episode 146: Google AI with Jeff Dean podcast GCP Podcast Episode 127: SRE vs Devops with Liz Fong-Jones and Seth Vargo podcast GCP Podcast Episode 128: Decision Intelligence with Cassie Kozyrkov podcast GCP Podcast Episode 113: Open Source TensorFlow with Yifei Feng podcast GCP Podcast Episode 88: Kubernetes 1.7 with Tim Hockin podcast GCP Podcast Episode 108: Launchpad Studio with Malika Cantor and Peter Norvig podcast GCP Podcast Episode 130: Data Science with Juliet Hougland and Michelle Casbon podcast GCP Podcast Episode 125: Open Source at Google Cloud Platform with Sarah Novotny podcast Top 10 most downloaded episodes for 2018! Exact same list except Tim Hockin is not #7. Following episodes go up a number and we added to #10 spot. GCP Podcast Episode 122: Project Jupyter with Jessica Forde, Yuvi Panda and Chris Holdgraf podcast Mark’s favorite episodes GCP Podcast Episode 129: Developer Relations with Mandy Waite podcast GCP Podcast Episode 121: Kontributing to Kubernetes with Paris Pittman and Garrett Rodrigues podcast GCP Podcast Episode 131: Actions on Google with Mandy Chan podcast GCP Podcast Episode 148: Wellio with Sivan Aldor-Noiman and Erik Andrejko podcast GCP Podcast Episode 110: CPU Vulnerability with Matt Linton and Paul Turner podcast GCP Podcast Episode 125: Open Source at Google Cloud Platform with Sarah Novotny podcast GCP Podcast Episode 140: Container Security with Maya Kaczorowski podcast Melanie’s favorite episodes GCP Podcast Episode 117: Cloud AI Fei-Fei Li was the Chief Scientist of AI/ML at Google podcast GCP Podcast Episode 114: ML Bias & Fairness with Timnit Gebru and Margaret Mitchell podcast GCP Podcast Episode 141: Accessibility in Tech podcast GCP Podcast Episode 136: Robotics with Raia podcast GCP Podcast Episode 150: Strange Loop, Remote Working, and Distributed Systems with KF podcast DL Indaba GCP Podcast Episode 147: DL Indaba: AI Investments in Africa podcast GCP Podcast Episode 149: Deep Learning Research in Africa with Yabebal Fantaye & Jessica Phalafala podcast GCP Podcast Episode 152: AI Corporations and Communities in Africa with Karim Beguir & Muthoni Wanyoike podcast GCP Podcast Episode 157: NeurIPS and AI Research with Anima Anandkumar podcast Favorite announcements, products, and more at Google Cloud Unity and Google Cloud Strategic Alliance blog Open Match blog Cloud TPU site Google Dataset Search is in beta site No tricks, just treats: Globally scaling the Halloween multiplayer Doodle with Open Match on Google Cloud blog GKE On-Prem site Open Source - Knative release, Skaffold, Istio updates, gVisor, etc. Google in Ghana blog Cloud NEXT blog GCP Podcast Episode 137: Next Day 1 podcast GCP Podcast Episode 138: Next Day 2 podcast GCP Podcast Episode 139: Next Day 3 podcast Unity and DeepMind partner to advance AI research blog Introducing PyTorch across Google Cloud blog Question of the week What were your personal highlights for 2018? Mark Agones Introducing Agones: Open-source, multiplayer, dedicated game-server hosting built on Kubernetes blog github The new website Having Melanie join me on the podcast Melanie Bringing Francesc back Meeting Grace GCP Podcast Episode 142: Agones With Mark Mandel and Cyril Tovena podcast Where can you find us next? It’s the holidays! Special thanks! Thank you guests Thank you Jennifer Thank you HD Interactive: James, Trae, Sabrina, and Sean Thank you Greg Thank you Neil, Chuck, and Shana Thank you MBooth for the website overhaul and social media support Thank you Francesc Thank you listeners!

Melanie is solo this week talking with Anima Anandkumar, a Caltech Bren professor and director of ML research at NVIDIA. We touch on tensors, their use, and how they relate to TensorFlow. Anima also details the work she does with NVIDIA and how they are helping to advance machine learning through hardware and software. Our main discussion centers around AI and machine learning research conferences, specifically the Neural Information Processing Systems conference (commonly referred to as NIPS) and the reason they have rebranded. NIPS originally started as a small conference at Caltech. As deep learning became more and more popular, it grew exponentially. With the higher attendance and interest, the acronym became center stage. Sexual innuendos and harassing puns surrounded the conference, sparking a call for a name change. At first, conference organizers were reluctant to rebrand and they used recent survey results as a reason to keep NIPS. Anima discusses her personal experience protesting the acronym, opening up about the hate speech and threats of which she and others received. Despite the harassment, Anima and others continued to protest, petition, and share stories of mistreatment within the community which helped lead to the name/acronym change to NeurIPS. The rebranding hopes to reestablish an inclusive academic community and move the focus back to machine learning research and away from unprofessional attention. Anima Anandkumar Animashree (Anima) Anandkumar is a Bren professor at Caltech CMS department and a director of machine learning research at NVIDIA. Her research spans both theoretical and practical aspects of machine learning. In particular, she has spearheaded research in tensor-algebraic methods, large-scale learning, deep learning, probabilistic models, and non-convex optimization. Anima is the recipient of several awards such as the Alfred. P. Sloan Fellowship, NSF Career Award, Young investigator awards from the Air Force and Army research offices, Faculty fellowships from Microsoft, Google and Adobe, and several best paper awards. She is the youngest named professor at Caltech, the highest honor bestowed to an individual faculty. She is part of the World Economic Forum’s Expert Network consisting of leading experts from academia, business, government, and the media. She has been featured in documentaries by PBS, KPCC, wired magazine, and in articles by MIT Technology review, Forbes, Yourstory, O’Reilly media, and so on. Anima received her B.Tech in Electrical Engineering from IIT Madras in 2004 and her PhD from Cornell University in 2009. She was a postdoctoral researcher at MIT from 2009 to 2010, visiting researcher at Microsoft Research New England in 2012 and 2014, assistant professor at U.C. Irvine between 2010 and 2016, associate professor at U.C. Irvine between 2016 and 2017, and principal scientist at Amazon Web Services between 2016 and 2018. Cool things of the week Taking charge of your data: using Cloud DLP to de-identify and obfuscate sensitive information blog Unlocking what’s possible with medical imaging data in the cloud blog Google makes dataset of 50 million drawings available on its cloud blog Machine learning on machines: building a model to evaluate CPU performance blog Interview Anima at TensorLab site NeurIPS site Petition site Name Change (results of the poll) letter Johns Hopkins University letter letter AI Researchers Fight Over Four Letters article From the Board: Changing our Acronym letter TensorFlow site NVIDIA site Question of the week What are some actions I can take if I’m being trolled, harassed and/or bullied online or I want to be proactive about my safety? If you are experiencing harassment, tell someone who can support you, document it, and assess escalating to authorities depending on the severity. Surveillence Self-Defense Preventing Doxxing Where can you find us next? Mark will be at KubeCon in December. Melanie will be at SOCML this week and NeurIPS next week. She’ll be attending WIML, Black in AI, and LatinX.

Today we’re joined by Kamyar Azizzadenesheli, PhD student at the University of California, Irvine, and visiting researcher at Caltech where he works with Anima Anandkumar, who you might remember from TWiML Talk 142. We begin with a reinforcement learning primer of sorts, in which we review the core elements of RL, along with quite a few examples to help get you up to speed. We then discuss a pair of Kamyar’s RL-related papers: “Efficient Exploration through Bayesian Deep Q-Networks” and “Sample-Efficient Deep RL with Generative Adversarial Tree Search.” In addition to discussing Kamyar’s work, we also chat a bit of the general landscape of RL research today. So whether you’re new to the field or want to dive into cutting-edge reinforcement learning research with us, this podcast is here for you! If you'd like to skip the Deep Reinforcement Learning primer portion of this and jump to the research discussion, skip ahead to the 34:30 mark of the episode.

In this episode of our TrainAI series, I sit down with Anima Anandkumar, Bren Professor at Caltech and Principal Scientist with Amazon Web Services. Anima joined me to discuss the research coming out of her “Tensorlab” at CalTech. In our conversation, we review the application of tensor operations to machine learning and discuss how an example problem–document categorization–might be approached using 3 dimensional tensors to discover topics and relationships between topics. We touch on multidimensionality, expectation maximization, and Amazon products Sagemaker and Comprehend. Anima also goes into how to tensorize neural networks and apply our understanding of tensor algebra to do perform better architecture searches. The notes for this show can be found at twimlai.com/talk/142. For series info, visit twimlai.com/trainai2018