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Watch the full conversation with Dr. Manish Gupta here: https://youtu.be/-Tl6-DKxEMUDr. Manish Gupta is currently the Director of Google Research in India. Prior to that he was the Vice-president and led the Xerox Research Center in India majorly working on data analytics and mobile computing. Before that, he was also at IBM research in India leading the efforts and building a lab focused on high-performance computing and business analytics. He also led the efforts at Goldman Sachs developing technologies relating to cloud, databases, and networking aiding business functions. We also co-founded and was the CEO of an educational technology startup called VideoKen. Dr. Manish Gupta's Homepagehttps://www.iiitb.ac.in/faculty/manish-guptahttps://research.google/people/106704/About the Host:Jay is a Ph.D. student at Arizona State University, doing research on building Interpretable AI models for Medical Diagnosis.Jay Shah: https://www.linkedin.com/in/shahjay22/You can reach out to https://www.public.asu.edu/~jgshah1/ for any queries.Stay tuned for upcoming webinars!#research #ai #machinelearning #googleresearch #india #aiforsocialgood***Disclaimer: The information contained in this video represents the views and opinions of the speaker and does not necessarily represent the views or opinions of any institution. It does not constitute an endorsement by any Institution or its affiliates of such video content.***
Check out the full conversation with Hanie here: https://youtu.be/hFJLuqaSakAHanie is a senior research scientist at Google Brain working on research problems related to understanding and improving deep learning techniques. She works on designing algorithms with theoretical guarantees such that they work efficiently in real-world applications.  Prior to that, she was a research scientist at Allen Institute of AI, and before that she was a Post-Doc fellow at UC Irvine. She graduated from USC with a Ph.D. with minors in Mathematics. Dr. Hanie Sedghi's linksTwitter: https://twitter.com/haniesedghi?ref_src=twsrc%5EtfwHomepage: https://haniesedghi.com/About the Host:Jay is a Ph.D. student at Arizona State University, doing research on building Interpretable AI models for Medical Diagnosis.Jay Shah: https://www.linkedin.com/in/shahjay22/You can reach out to https://www.public.asu.edu/~jgshah1/ for any queries.Stay tuned for upcoming webinars!#theoryofmachinelearning #deeplearning #ai #machinelearning #fundamentals***Disclaimer: The information contained in this video represents the views and opinions of the speaker and does not necessarily represent the views or opinions of any institution. It does not constitute an endorsement by any Institution or its affiliates of such video content.***
Do Vision Transformers work in the same way as CNNs? Do the internal representational structures of ViTs and CNNs differ? An in-depth analysis article: https://arxiv.org/pdf/2108.08810.pdfListen to the full conversation here: https://youtu.be/htnJxcwJqeADr. Maithra Raghu is a senior research scientist at Google working on analyzing the internal workings of deep neural networks so that we can deploy them better keeping humans in the loop. She recently graduated from Cornell University with a Ph.D. in CS and previously graduated from Cambridge University with BA and Masters in Mathematics. She has received multiple awards for her research work including the Forbes 30 under 30.Maithra's Homepage: https://maithraraghu.comAbout the Host:Jay is a Ph.D. student at Arizona State University, doing research on building Interpretable AI models for Medical Diagnosis.Jay Shah: https://www.linkedin.com/in/shahjay22/You can reach out to https://www.public.asu.edu/~jgshah1/ for any queries.Stay tuned for upcoming webinars!#explainableai #reliableai #robustai #machinelearning***Disclaimer: The information contained in this video represents the views and opinions of the speaker and does not necessarily represent the views or opinions of any institution. It does not constitute an endorsement by any Institution or its affiliates of such video content.***
How to decide and choose a research/thesis to work on that interests you and is also relevant to current research directions.Full episodes with Maithra, Google: https://youtu.be/htnJxcwJqeANatasha  Google: https://youtu.be/8XpCnmvq49sMilind  Google: https://youtu.be/eqwF3NpZFb4Hima  Harvard University: https://youtu.be/8Ym4oYTd8FoIshan  Facebook AI: https://youtu.be/Pb5RQAEtznkAbout the Host:Jay is a PhD student at Arizona State University, doing research on building Interpretable AI models for Medical Diagnosis.Jay Shah: https://www.linkedin.com/in/shahjay22/You can reach out to https://www.public.asu.edu/~jgshah1/ for any queries.Stay tuned for upcoming webinars!#machinelearning #ai #phd #research #thesis***Disclaimer: The information contained in this video represents the views and opinions of the speaker and does not necessarily represent the views or opinions of any institution. It does not constitute an endorsement by any Institution or its affiliates of such video content.***
How can you students and researchers work on projects using AI that creates a real impact and difference in society? Watch the full podcast with Dr. Tambe here: https://youtu.be/eqwF3NpZFb4Dr. Milind Tambe is a Professor of Computer Science at  Harvard University and Director of the Center for Research in Computation and Society. He is also the Director of AI for Social Good at  Google  Research in India. He has been leading and working on projects that are creating an impact, ranging from wildlife conservation, public health, and safety using AI techniques.Prof. Milind Tambe's Homepage: https://teamcore.seas.harvard.edu/tambeAbout the Host:Jay is a PhD student at Arizona State University, doing research on building Interpretable AI models for Medical Diagnosis.Jay Shah: https://www.linkedin.com/in/shahjay22/You can reach out to https://www.public.asu.edu/~jgshah1/ for any queries.Stay tuned for upcoming webinars!#aiforsocialgood #googleai #ai #machinelearning #socialimpact***Disclaimer: The information contained in this video represents the views and opinions
Watch the full conversation with Nasrin here: https://youtu.be/59kRUmhA5yINasrin is the co-founder of a deep-tech startup Verneek and has been in the space of AI startups for the past 5 years now. Before that, she was a senior research scientist at Elemental Cognition & BenevolentAI, and prior to which she graduated with a Ph.D. from the University of Rochester and her major research interests are in building intelligent systems that can demonstrate commonsense reasoning & generate causal explanations in order to improve human-AI collaborations. She was featured in Forbes 30u30 for her work in NLU. Nasrin's LinkedIn Profile: https://www.linkedin.com/in/nasrinm/Her startup Verneek: https://www.linkedin.com/company/verneek/About the Host:Jay is a Ph.D. student at Arizona State University, doing research on building Interpretable AI models for Medical Diagnosis.Jay Shah: https://www.linkedin.com/in/shahjay22/You can reach out to https://www.public.asu.edu/~jgshah1/ for any queries.Stay tuned for upcoming podcasts!***Disclaimer: The information contained in this video represents the views and opinions of the speaker and does not necessarily represent the views or opinions of any institution. It does not constitute an endorsement by any Institution or its affiliates of such video content.***
How can we build intuition for interdisciplinary fields in order to tackle challenges in social reinforcement learning?Natasha Jaques is currently a Research Scientist at Google Brain and a post-doc fellow at UC Berkeley, where her research interests are in designing multi-agent RL algorithms while focusing on social reinforcement learning. She received her Ph.D. from MIT and has also received multiple awards for her research works submitted to venues like ICML and NeurIPS She has interned at DeepMind, Google Brain, and is an OpenAI  Scholars mentor.About the Host:Jay is a Ph.D. student at Arizona State University, doing research on building Interpretable AI models for Medical Diagnosis.Jay Shah: https://www.linkedin.com/in/shahjay22/You can reach out to https://www.public.asu.edu/~jgshah1/ for any queries.Stay tuned for upcoming webinars!***Disclaimer: The information contained in this video represents the views and opinions of the speaker and does not necessarily represent the views or opinions of any institution. It does not constitute an endorsement by any Institution or its affiliates of such video content.***
Why and where do companies fail at productionizing ML models? Watch the full podcast with Aarti here: https://youtu.be/VWJXiszQpTUAarti is a machine learning engineer at Snorkel AI. Prior to that, she worked closely with Andrew Ng in various capacities. She graduated with a master’s in CS from Stanford, and bachelor's in CS and Computer Engineering from @New York University, and at @Microsoft  Research as a research intern for John Langford, where she contributed to Vowpal Wabbit, an open-source project. About the Host:Jay is a Ph.D. student at Arizona State University, doing research on building Interpretable AI models for Medical Diagnosis.Jay Shah: https://www.linkedin.com/in/shahjay22/You can reach out to https://www.public.asu.edu/~jgshah1/ for any queries.Stay tuned for upcoming webinars!***Disclaimer: The information contained in this video represents the views and opinions of the speaker and does not necessarily represent the views or opinions of any institution. It does not constitute an endorsement by any Institution or its affiliates of such video content.***
Deciding whether to do a Ph.D. or not and things to focus on while writing your research thesis.Watch the full podcast here: https://youtu.be/8Ym4oYTd8FoDr. Himabindu Lakkaraju is an Assistant Professor at Harvard University and her major research interests are along the lines of explainability, fairness, and robustness in AI systems. Prior to that she graduated with a Ph.D. from  @Stanford  and has received multiple awards for her research work.Dr. Lakkaraju's homepage: https://himalakkaraju.github.io/About the Host:Jay is a Ph.D. student at Arizona State University, doing research on building Interpretable AI models for Medical Diagnosis.Jay Shah: https://www.linkedin.com/in/shahjay22/You can reach out to https://www.public.asu.edu/~jgshah1/ for any queries.Stay tuned for upcoming webinars!#explainableai #reliableai #robustai #machinelearning***Disclaimer: The information contained in this video represents the views and opinions of the speaker and does not necessarily represent the views or opinions of any institution. It does not constitute an endorsement by any Institution or its affiliates of such video content.***
“What got you into AI? And what part of it really interests you about it?” — a simple question that I have asked more than 30 researchers from different backgrounds and applications on my podcasts to learn more about their motivation. Thought of compiling them into one; to whosoever, it proves to be insightful with the aim to learn more what drives researchers explore and work in the domain of Machine Learning and what got them started in it!About the Host:I am a Ph.D. student at Arizona State University, doing research on building Interpretable AI models for Medical Diagnosis.LinkedIn: https://www.linkedin.com/in/shahjay22/You can reach out to https://www.public.asu.edu/~jgshah1/ for any queries.Stay tuned for upcoming podcasts!#machinelearning #artificialintelligence #research***Disclaimer: The information contained in this video represents the views and opinions of the speaker and does not necessarily represent the views or opinions of any institution. It does not constitute an endorsement by any Institution or its affiliates of such video content.***
Read more about this here in her Twitter thread: https://twitter.com/nasrinmmm/status/1374372131207806976Nasrin is the co-founder of a deep-tech startup Verneek and has been in the space of AI startups for the past 5 years now. Before that, she was a senior research scientist at Elemental Cognition & BenevolentAI, and prior to which she graduated with a Ph.D. from the University of Rochester and her major research interests are in building intelligent systems that can demonstrate commonsense reasoning & generate causal explanations in order to improve human-AI collaborations. She was featured in Forbes 30u30 for her work in NLU. We talk about her background and story in AI, some details of her research work, and insights about being in the AI startup space.Nasrin's LinkedIn Profile: https://www.linkedin.com/in/nasrinm/About the Host:Jay is a Ph.D. student at Arizona State University, doing research on building Interpretable AI models for Medical Diagnosis.Jay Shah: https://www.linkedin.com/in/shahjay22/You can reach out to https://www.public.asu.edu/~jgshah1/ for any queries.Stay tuned for upcoming podcasts!#machinelearning #artificialintelligence #aistartups #buildingastartup***Disclaimer: The information contained in this video represents the views and opinions of the speaker and does not necessarily represent the views or opinions of any institution. It does not constitute an endorsement by any Institution or its affiliates of such video content.***
Three research scientists from Google share their journey about interest in Machine Learning research and how they got started with it.Watch full podcasts with each of these speakers:Azalia Mirhoseini: https://youtu.be/5LCfH8YiOv4Sara Hooker: https://youtu.be/MHtbZls2utsNatasha Jacques: https://youtu.be/8XpCnmvq49sAbout the Host:Jay is a Ph.D. student at Arizona State University, doing research on building Interpretable AI models for Medical Diagnosis.Jay Shah: https://www.linkedin.com/in/shahjay22/You can reach out to https://www.public.asu.edu/~jgshah1/ for any queries.Stay tuned for upcoming webinars!***Disclaimer: The information contained in this video represents the views and opinions of the speaker and does not necessarily represent the views or opinions of any institution. It does not constitute an endorsement by any Institution or its affiliates of such video content.***
Full episode available here: https://youtu.be/V1mDR4x_JY0Jineet, a Data Scientist at Intuit and a graduate of Carnegie Mellon University shares some amazing insights about data science and machine learning probing his experiences.Our aim of these webinars is to connect you with the brightest minds in the field of Machine Learning/Data Science so that you can learn how to break into the field and build an incredible career!You can reach out to https://www.public.asu.edu/~jgshah1/ for any queries.Stay tuned for upcoming webinars!***Disclaimer: The information contained in this video represents the views and opinions of the speaker and does not necessarily represent the views or opinions of any institution. It does not constitute an endorsement by any Institution or its affiliates of such video content.***
What really drives the innovation in research projects? Is it a pure pursuit of theory or application-oriented?Ishan is a Research Scientist at @Facebook AI. Much of his recent research work revolves around self-supervised learning is known for this works like including SwAV and PIRL and, Michal Drozdzal is also a Research Scientist at @Facebook AI with major research interests in computer vision, Machine Learning, and medical image analysis. The full conversation with Ishan: https://youtu.be/uOVxndMyascAnd Michal: https://youtu.be/9gKwux0r0KYAbout the Host:Jay is a Ph.D. student at Arizona State University, doing research on building Interpretable AI models for Medical Diagnosis.Jay Shah: https://www.linkedin.com/in/shahjay22/You can reach out to https://www.public.asu.edu/~jgshah1/ for any queries.Stay tuned for upcoming podcasts!#artificialintelligence #machinelearning #aiinhealthcare #medicalimaging***Disclaimer: The information contained in this video represents the views and opinions of the speaker and does not necessarily represent the views or opinions of any institution. It does not constitute an endorsement by any Institution or its affiliates of such video content.***
How to deal and Interpret failures in research? Developing guts for which research will work out and which will not over course of time, from being a researcher in academia as a Ph.D. student to now being a research scientist at Facebook.Check out the whole podcast here: https://youtu.be/Pb5RQAEtznkIshan is a Research Scientist at  @Facebook AI. Much of his recent research work revolves around self-supervised learning is known for this works like including SwAV and PIRL. He completed his Ph.D. from  @Carnegie Mellon University with Martial Hebert and Abhinav Gupta. and his thesis was titled “Visual Learning with Minimal Human Supervision”Also check out these talks on all available podcast platforms: https://jayshah.buzzsprout.comAbout the Host:Jay is a Ph.D. student at Arizona State University, doing research on building Interpretable AI models for Medical Diagnosis.Jay Shah: https://www.linkedin.com/in/shahjay22/You can reach out to https://www.public.asu.edu/~jgshah1/ for any queries.Stay tuned for upcoming webinars!***Disclaimer: The information contained in this video represents the views and opinions of the speaker and does not necessarily represent the views or opinions of any institution. It does not constitute an endorsement by any Institution or its affiliates of such video content.***
What kind of challenges have you noticed while working with ML applications in production, that most newbies don't know as students or fresh graduates? And what ML applications production pipeline look like?Watch the full podcast here: https://youtu.be/VWJXiszQpTUAlso check-out these talks on all available podcast platforms: https://jayshah.buzzsprout.comAbout the Host:Jay is a Ph.D. student at Arizona State University, doing research on building Interpretable AI models for Medical Diagnosis.Jay Shah: https://www.linkedin.com/in/shahjay22/You can reach out to https://www.public.asu.edu/~jgshah1/ for any queries.Stay tuned for upcoming webinars!***Disclaimer: The information contained in this video represents the views and opinions of the speaker and does not necessarily represent the views or opinions of any institution. It does not constitute an endorsement by any Institution or its affiliates of such video content.***
Watch the full podcast with Natasha here: https://youtu.be/8XpCnmvq49sAlso check-out these talks on all available podcast platforms: https://jayshah.buzzsprout.comAbout the Host:Jay is a PhD student at Arizona State University, doing research on building Interpretable AI models for Medical Diagnosis.Jay Shah: https://www.linkedin.com/in/shahjay22/You can reach out to https://www.public.asu.edu/~jgshah1/ for any queries.Stay tuned for upcoming webinars!***Disclaimer: The information contained in this video represents the views and opinions of the speaker and does not necessarily represent the views or opinions of any institution. It does not constitute an endorsement by any Institution or its affiliates of such video content.***
Watch the full podcast with Linda here: https://youtu.be/0Yrt2lBzsNkAlso check-out these talks on all available podcast platforms: https://jayshah.buzzsprout.comAbout the Host:Jay is a PhD student at Arizona State University, doing research on building Interpretable AI models for Medical Diagnosis.Jay Shah: https://www.linkedin.com/in/shahjay22/You can reach out to https://www.public.asu.edu/~jgshah1/ for any queries.Stay tuned for upcoming webinars!***Disclaimer: The information contained in this video represents the views and opinions of the speaker and does not necessarily represent the views or opinions of any institution. It does not constitute an endorsement by any Institution or its affiliates of such video content.***
Watch the full podcast here: https://youtu.be/8XpCnmvq49sNatasha Jaques is currently a Research Scientist at  @Google  Brain and a post-doc fellow at  @UC Berkeley, where her research interests are in designing multi-agent RL algorithms while focusing on social reinforcement learning, that can improve generalization, coordination between agents, and collaboration between human and AI agents. She received her PhD from the @Massachusetts Institute of Technology (MIT)  where she focused on Affective Computing and other techniques for deep/reinforcement learning. She has also received multiple awards for her research works submitted to venues like ICML and NeurIPS She has interned at @DeepMind, Google Brain, and is an  @OpenAI  Scholars mentor.Also check-out these talks on all available podcast platforms: https://jayshah.buzzsprout.comAbout the Host:Jay is a PhD student at Arizona State University, doing research on building Interpretable AI models for Medical Diagnosis.Jay Shah: https://www.linkedin.com/in/shahjay22/You can reach out to https://www.public.asu.edu/~jgshah1/ for any queries.Stay tuned for upcoming webinars!***Disclaimer: The information contained in this video represents the views and opinions of the speaker and does not necessarily represent the views or opinions of any institution. It does not constitute an endorsement by any Institution or its affiliates of such video content.***
Learn more about what product management really is and the skills required for the role with Renee Yao, who leads global healthcare AI startups at  @NVIDIA, managing 1000+ healthcare startups. Prior to that, she worked as a senior PM and product marketing manager for AI Systems at NVIDIA. She graduated from Haas School of Business at  @UC Berkeley with a focus in Economics and IT. About the Host:Jay is a Ph.D. student at Arizona State University, doing research on building Interpretable AI models for Medical Diagnosis.Jay Shah: https://www.linkedin.com/in/shahjay22/Also check-out these talks on all available podcast platforms: https://jayshah.buzzsprout.comYou can reach out to https://www.public.asu.edu/~jgshah1/ for any queries.Stay tuned for upcoming webinars!***Disclaimer: The information contained in this video represents the views and opinions of the speaker and does not necessarily represent the views or opinions of any institution. It does not constitute an endorsement by any Institution or its affiliates of such video content.***
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