Intel on AI
Tune in as we dissect recent AI news, explore cutting-edge innovations, and sit down with influential voices shaping the future of AI. Whether you're a seasoned expert or just dipping your toes into the AI waters, our podcast is your go-to resource for staying informed and inspired.
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Intel on AI - The future of AI models and how to choose the right one, with Nuri Cankaya
04/19/2024
Intel on AI - The future of AI models and how to choose the right one, with Nuri Cankaya
Dive deep into the ever-evolving landscape of AI with Intel’s VP of AI Marketing, Nuri Cankaya, as he navigates the intricacies of cutting-edge AI models and their impact on businesses.
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Evolution, Technology, and the Brain – Intel on AI Season 3, Episode 13
08/17/2022
Evolution, Technology, and the Brain – Intel on AI Season 3, Episode 13
In this episode of Intel on AI host Amir Khosrowshahi talks with Jeff Lichtman about the evolution of technology and mammalian brains. Jeff Lichtman is the Jeremy R. Knowles Professor of Molecular and Cellular Biology at Harvard. He received an AB from Bowdoin and an M.D. and Ph.D. from Washington University, where he worked for thirty years before moving to Cambridge. He is now a member of Harvard’s Center for Brain Science and director of the , which focuses on connectomics— mapping neural connections and understanding their development. In the podcast episode Jeff talks about why researching the physical structure of brain is so important to advancing science. He goes into detail about —a method he and Joshua Sanes developed to illuminate and trace the “wires” (axons and dendrites) connecting neurons to each other. Amir and Jeff discuss how the academic rivalry between Santiago Ramón y Cajal and Camillo Golgi pioneered neuroscience research. Jeff describes his remarkable research taking nanometer slices of brain tissue, creating high-resolution images, and then digitally reconstructing the cells and synapses to get a more complete picture of the brain. The episode closes with Jeff and Amir discussing theories about how the human brain learns and what technologists might discover from the grand challenge of mapping the entire nervous system. Academic research discussed in the podcast episode:
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Meta-Learning for Robots – Intel on AI Season 3, Episode 12
06/15/2022
Meta-Learning for Robots – Intel on AI Season 3, Episode 12
In this episode of Intel on AI host Amir Khosrowshahi and co-host Mariano Phielipp talk with Chelsea Finn about machine learning research focused on giving robots the capability to develop intelligent behavior. Chelsea is Assistant Professor in Computer Science and Electrical Engineering at Stanford University, whose (Intelligence through Robotic Interaction at Scale) lab is closely associated with the Stanford Artificial Intelligence Laboratory (SAIL). She received her Bachelor's degree in Electrical Engineering and Computer Science at MIT and her PhD in Computer Science at UC Berkeley, where she worked with and Sergey Levine. In the podcast episode Chelsea explains the difference between supervised learning and reinforcement learning. She goes into detail about the different kinds of new reinforcement algorithms that can aid robots to learn more autonomously. Chelsea talks extensively about meta-learning—the concept of helping robots learn to learn—and her efforts to advance model-agnostic meta-learning (MAML). The episode closes with Chelsea and Mariano discussing the intersection of natural language processing and reinforcement learning. The three also talk about the future of robotics and artificial intelligence, including the complexity of setting up robotic reward functions for seemingly simple tasks. Academic research discussed in the podcast episode:
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AI, Social Media, and Political Influence – Intel on AI Season 3, Episode 11
05/25/2022
AI, Social Media, and Political Influence – Intel on AI Season 3, Episode 11
In this episode of Intel on AI host Amir Khosrowshahi talks with Joshua Tucker about using artificial intelligence to study the influence social media has on politics. Joshua is professor of politics at New York University with affiliated appointments in the department of Russian and Slavic Studies and the Center for Data Science. He is also the director of the Jordan Center for the Advanced Study of Russia and co-director of the Center for Social Media and Politics. He was a co-author and editor of an award-winning policy blog at and has published several books, including his latest, where he is co-editor, titled from Cambridge University Press. In the podcast episode, Joshua discusses his background in researching mass political behavior, including Colored Revolutions in Eastern Europe. He talks about how his field of study changed after working with his then PhD student Pablo Barberá (now a professor at the University of Southern California), who proposed a method whereby researchers could estimate people's partisanship based on the social networks in which they had enmeshed themselves. Joshua describes the limitations researchers often have when trying to study data on various platforms, the challenges of big data, utilizing NYU’s Greene HPC Cluster, and the impact that the leak of the had on the field. He also describes findings regarding people who are more prone to share material from fraudulent media organizations masquerading as news outlets and how researchers like Rebekah Tromble (Director of the Institute for Data, Democracy and Politics at George Washington University) are working with government entities like the European Union on balancing public research with data privacy. The episode closes with Amir and Joshua discussing disinformation campaigns in the context of the Russo-Ukrainian War. Academic research discussed in the podcast episode: .
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Machine Learning and Molecular Simulation – Intel on AI Season 3, Episode 10
05/04/2022
Machine Learning and Molecular Simulation – Intel on AI Season 3, Episode 10
In this episode of Intel on AI host Amir Khosrowshahi talks with Ron Dror about breakthroughs in computational biology and molecular simulation. Ron is an Associate Professor of Computer Science in the Stanford Artificial Intelligence Lab, leading a research group that uses machine learning and molecular simulation to elucidate biomolecular structure, dynamics, and function, and to guide the development of more effective medicines. Previously, Ron worked on the Anton supercomputer at D.E. Shaw Research after earning degrees in the fields of electrical engineering, computer science, biological sciences, and mathematics from MIT, Cambridge, and Rice. His groundbreaking research has been published in journals such as Science and Nature, presented at conferences like Neural Information Processing Systems (NeurIPS), and won awards from the Association of Computing Machinery (ACM) and other organizations. In the podcast episode, Ron talks about his work with several important collaborators, his interdisciplinary approach to research, and how molecular modeling has improved over the years. He goes into detail about the gen-over-gen advancements made in the Anton supercomputer, including its software, and his recent work at Stanford with molecular dynamics simulations and machine learning. The podcast closes with Amir asking detailed questions about Ron and his team’s recent paper concerning RNA structure prediction that was featured on the cover of Science. Academic research discussed in the podcast episode:
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AI and Nanocomputing - Intel on AI Season 3, Episode 9
03/30/2022
AI and Nanocomputing - Intel on AI Season 3, Episode 9
In this episode of Intel on AI host Amir Khosrowshahi, assisted by Dmitri Nikonov, talks with Jean Anne Incorvia about the use of new physics in nanocomputing, specifically with spintronic logic and 2D materials. Jean is an Assistant Professor and holds the Fellow of Advanced Micro Devices Chair in Computer Engineering in the Department of Electrical and Computer Engineering at The University of Texas at Austin, where she directs the Integrated Nano Computing Lab. Dimitri is a Principal Engineer in the Components Research at Intel. He holds a Master of Science in Aeromechanical Engineering from the Moscow Institute of Physics and Technology and a Ph.D. from Texas A&M. Dimitri works in the discovery and simulation of nanoscale logic devices and manages joint research projects with multiple universities. He has authored dozens of research papers in the areas of quantum nanoelectronics, spintronics, and non-Boolean architectures. In the episode Jean talks about her background with condensed matter physics and solid-state electronics. She explains how magnetic properties and atomically thin materials, like graphene, can be leveraged at nanoscale for beyond-CMOS computing. Jean goes into detail about domain wall magnetic tunnel junctions and why such devices might have a lower energy cost than the modern process of encoding information in charge. She sees these new types of devices to be compatible with CMOS computing and part of a larger journey toward beyond-von Neumann architecture that will advance the evolution of artificial intelligence, neural networks, deep learning, machine learning, and neuromorphic computing. The episode closes with Jean, Amir, and Dimitri talking about the broadening definition of quantum computing, existential philosophy, and AI ethics. Academic research discussed in the podcast episode:
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Designing Molecules with AI – Intel on AI Season 3, Episode 8
02/16/2022
Designing Molecules with AI – Intel on AI Season 3, Episode 8
In this episode of Intel on AI hosts Amir Khosrowshahi and Santiago Miret talk with Alán Aspuru-Guzik about the chemistry of computing and the future of materials discovery. Alán is a professor of chemistry and computer science at the University of Toronto, a Canada 150 Research Chair in theoretical chemistry, a CIFAR AI Chair at the Vector Institute, and a CIFAR Lebovic Fellow in the biology-inspired Solar Energy Program. Alán also holds a Google Industrial Research Chair in quantum computing and is the co-founder of two startups, and . Santiago Miret is an AI researcher in Intel Labs, who has an active research collaboration Alán. Santiago studies at the intersection of AI and the sciences, as well as the algorithmic development of AI for real-world problems. In the first half of the episode, the three discuss accelerating molecular design and building next generation functional materials. Alán talks about his academic background with high performance computing (HPC) that led him into the field of molecular design. He goes into detail about building a “self-driving lab” for scientific experimentation, which, coupled with advanced automation and robotics, he believes will help propel society to move beyond the era of plastics and into the era of materials by demand. Alán and Santiago talk about their research collaboration with Intel to build sophisticated model-based molecular design platforms that can scale to real-world challenges. Alán talks about the and the need for standardization research to drive greater academic and industry collaborations for self-driving laboratories. In the second half of the episode, the three talk about quantum computing, including developing algorithms for quantum dynamics, molecular electronic structure, molecular properties, and more. Alán talks about how a simple algorithm based on thinking of the quantum computer like a musical instrument is behind the concept of the variational quantum eigensolver, which could hold promising advancements alongside classical computers. Amir, and Santiago close the episode by talking about the future of research, including projects at DARPA, oscillatory computing, quantum machine learning, quantum autoencoders, and how young technologists entering the field can advance a more equitable society. Academic research discussed in the podcast episode:
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Learning with AI – Intel on AI Season 3, Episode 7
01/26/2022
Learning with AI – Intel on AI Season 3, Episode 7
In this episode of Intel on AI host Amir Khosrowshahi and Milena Marinova talk about using artificial intelligence for professional learning. Milena is currently the Vice President of Data and AI Solutions at Microsoft. At the time of recording, Milena was the driving force behind AI calculus tutoring application Aida. Amir and Milena discuss some of the challenges of developing AI products, going from academic research into commercial deployment, and the importance of data policy by design.
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Computing with DNA – Intel on AI Season 3, Episode 6
12/22/2021
Computing with DNA – Intel on AI Season 3, Episode 6
In this episode of Intel on AI host Amir Khosrowshahi and Luis Ceze talk about building computers with synthetic DNA storage. Luis goes into detail about the process to store the music video “This Too Shall Pass” by the band OK Go onto DNA, how enzymatic synthesis of DNA could be environmentally sustainable, and why multi-technology systems with electronics, photonics, molecular systems, and even quantum components could be the future of compute.
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Stephen Wolfram on the Current State of Artificial Intelligence – Intel on AI Season 3, Episode 5
12/15/2021
Stephen Wolfram on the Current State of Artificial Intelligence – Intel on AI Season 3, Episode 5
In this episode of Intel on AI host Amir Khosrowshahi talks with Stephen Wolfram about the current state of artificial intelligence. Amir and Stephen talk about a number of subjects during their two-hour conversation, including Emanuel Kant, Noam Chomsky, and why Stephen left academia to develop his own research institute. Stephen discusses his predictions about the limitations of quantum computing, the potential of computing at the molecular scale, and what comes after semiconductor processing.
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Moving Beyond CMOS – Intel on AI Season 3, Episode 4
12/08/2021
Moving Beyond CMOS – Intel on AI Season 3, Episode 4
In this episode of Intel on AI host Amir Khosrowshahi, assisted by Dmitri Nikonov, talks with Ian Young about Intel’s long-term research to develop more energy-efficient computing based on exploratory materials. The three talk about moving beyond CMOS architecture, including possible applications of ferroelectric materials, quantum tunneling, spintronics, non-volatile memory and computing, and silicon photonics.
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The Need for New Deep Learning Architectures – Intel on AI Season 3, Episode 3
12/01/2021
The Need for New Deep Learning Architectures – Intel on AI Season 3, Episode 3
In this episode of Intel on AI host Amir Khosrowshahi and Yoshua Bengio talk about structuring future computers on the underlying physics and biology of human intelligence. The two discuss causal representation learning and out-of-distribution generalization, the limitations of modern hardware, and why current models are exponentially increasing amounts of data and compute only to find slight improvements.
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Biological Intelligence and the Limitations of Deep Neural Networks – Intel on AI Season 3, Episode 2
11/03/2021
Biological Intelligence and the Limitations of Deep Neural Networks – Intel on AI Season 3, Episode 2
In this episode of Intel on AI host Amir Khosrowshahi and Melanie Mitchell talk about the paradox of studying human intelligence and the limitations of deep neural networks. Melanie also talks about creating the Copycat software, the dangers of artificial intelligence (AI) being easy to manipulate even in very narrow areas, and the importance of getting inspiration from biological intelligence.
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From Jumping Spiders to Silicon: Neuroscience and the Future of Computing - Intel on AI Season 3, Episode 1
09/29/2021
From Jumping Spiders to Silicon: Neuroscience and the Future of Computing - Intel on AI Season 3, Episode 1
In this episode of Intel on AI, host Amir Khosrowshahi and Bruno Olshausen talk about neuroscience and the future of computing. Bruno and Amir discuss research about recording large populations of neurons, hyperdimensional computing, and discovering new types of engineering principles. Bruno and Amir close the episode by talking about the elementary units of computation, the idea of “listening to silicon” as proposed by Carver Mead, neuromorphic computing, and what the future of research might hold.
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The AI of Tomorrow – Intel on AI – Season 2, Episode 17
03/08/2021
The AI of Tomorrow – Intel on AI – Season 2, Episode 17
In this episode of Intel on AI host Abigail Hing Wen, Intel AI Tech Evangelist and New York Times Best Selling Author, passes the hosting mantle to Amir Khosrowshahi, Intel Vice President. The two talk about lessons learned from guests across Season 2 of the podcast and what the AI of tomorrow might be. Abigail shares about some exciting next steps for her. Amir discusses his background studying neurobiology and theoretical physics, his research in computational neuroscience and mammalian visual systems at UC Berkeley, his work at Intel following the acquisition of Nervana, and his plans for hosting Season 3 of the podcast. Follow Abigail on Twitter: Follow Amir on Twitter:
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AI and Government with US Congresswoman Robin Kelly – Intel on AI Season 2, Episode 16
02/18/2021
AI and Government with US Congresswoman Robin Kelly – Intel on AI Season 2, Episode 16
In this episode of Intel on AI guest US Congresswoman Robin Kelly talks with host Abigail Hing Wen, Intel AI Tech Evangelist and New York Times best-selling author, about artificial intelligence (AI) and the United States government. Congresswoman Kelly talks about how she became involved in AI policy, introducing a bipartisan resolution to create a national AI strategy with Will Hurd (R-Texas), and educating other Congress members about the field. The two also talk about the importance of training new talent in order for America to stay competitive in a global market and why ethics in AI is crucial when considering regulation. Follow Congresswoman Kelly on Twitter: Follow Abigail on Twitter:
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Genentech: Biomedicine Meets AI – Intel on AI Season 2, Episode 15
02/11/2021
Genentech: Biomedicine Meets AI – Intel on AI Season 2, Episode 15
In this episode of Intel on AI guest Aviv Regev, Executive Vice President of Genentech Research and Early Development, talks with host Abigail Hing Wen, Intel AI Tech Evangelist and New York Times best-selling author, about biomedicine and artificial intelligence (AI). The two discuss Aviv’s work on circuitry in cells, the future of experimental biology, why increasing the diversity of data is key to creating algorithms that can find patterns in genomic variants, and how strengthening global networks will help society better prepare for the next pandemic. Hear more from Aviv in a special episode of Genentech’s science podcast “Studying the Symphony of Cells.” Follow Genentech on Twitter: Follow Abigail on Twitter: Learn more about Intel’s work in AI:
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Public Policy with Partnership on AI’s Terah Lyons – Intel on AI Season 2 – Episode 14
01/13/2021
Public Policy with Partnership on AI’s Terah Lyons – Intel on AI Season 2 – Episode 14
In this episode of Intel on AI guest Terah Lyons, Executive Director of Partnership on AI, talks with host Abigail Hing Wen, Intel AI Tech Evangelist and New York Times best-selling author, about her previous work as Policy Advisor to the United States Chief Technology Officer Megan Smith in President Barack Obama’s Office of Science and Technology Policy, her thoughts on the role policymakers should play in the field of artificial intelligence (AI), and the ongoing efforts of the Partnership on AI. The two discuss how organizations can align their values and prioritize incentives around developing AI that helps workers, the importance of measuring such outcomes, and why practical frameworks for AI can help people outside the field better understand the benefits of AI. Follow Terah on Twitter: Follow Abigail on Twitter: Learn more about Intel’s work in AI:
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DeepMind: From the Lab to the World – Intel on AI – Season 2, Episode 13
12/23/2020
DeepMind: From the Lab to the World – Intel on AI – Season 2, Episode 13
In this episode of Intel on AI guest Colin Murdoch, Senior Business Director at DeepMind, talks with host Abigail Hing Wen, Intel AI Tech Evangelist and New York Times best-selling author, about text-to-speech system WaveNet, the recent breakthrough with AlphaFold, the potential for artificial intelligence to solve energy challenges, and how Google adopts cutting-edge research into a number of services. The two also discuss examples like AlphaGo, GraphNet, advancements in Android products, and what the future of artificial general intelligence might look like. Follow DeepMind on Twitter: Follow Abigail on Twitter: Learn more about Intel’s work in AI:
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Algorithmic Fairness with Alice Xiang – Intel on AI – Season 2, Episode 12
12/16/2020
Algorithmic Fairness with Alice Xiang – Intel on AI – Season 2, Episode 12
In this episode of Intel on AI guest Alice Xiang, Head of Fairness, Transparency, and Accountability Research at the Partnership on AI, talks with host Abigail Hing Wen, Intel AI Tech Evangelist and New York Times best-selling author, about algorithmic fairness—the study of how algorithms might systemically perform better or worse for certain groups of people and the ways in which historical biases or other systemic inequities might be perpetuated by algorithmic systems. The two discuss the lofty goals of the Partnership on AI, why being able to explain how a model arrived at a specific decision is important for the future of AI adoption, and the proliferation of criminal justice risk assessment tools. Follow Alice on Twitter: Follow Abigail on Twitter: Learn more about Intel’s work in AI:
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Emotion and AI with Rana el Kaliouby – Intel on AI – Season 2, Episode 11
12/09/2020
Emotion and AI with Rana el Kaliouby – Intel on AI – Season 2, Episode 11
In this episode of Intel on AI guest Rana el Kaliouby, Ph.D., cofounder and CEO of Affectiva, and author of Girl Decoded: A Scientist’s Quest to Reclaim Our Humanity by Bringing Emotional Intelligence to Technology, talks with host Abigail Hing Wen, Intel AI Tech Evangelist and New York Times best-selling author, about emotional intelligence (EQ)—a person’s ability to sense emotional and cognitive states and behaviors, and be able to adapt in real-time based on that information. The two talk about Rana’s journey to founding Affectiva with MIT professor Rosalind Picard, Sc.D, the future implementations of EQ in technology, such as customer service and autonomous driving, and why such systems need to have clearly defined data policies. Follow Rana on Twitter: Follow Abigail on Twitter: Learn more about Intel’s work in AI:
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Inside Intel Labs: Human and AI Collaboration – Intel on AI – Season 2, Episode 10
12/02/2020
Inside Intel Labs: Human and AI Collaboration – Intel on AI – Season 2, Episode 10
In this episode of Intel on AI guests Lama Nachman, Intel Fellow and Director of Anticipatory Computing Lab, and Hanlin Tang, Sr. Director of the Intel AI Lab, talk with host Abigail Hing Wen about the intersection of humans and AI. The three discuss a wide range of topics, from keeping humans in the loop of AI systems to the ways that AI can augment human abilities. Lama talks about her work in building assistive computer systems for Prof. Stephen Hawking and British roboticist Dr. Peter Scott-Morgan. Hanlin reveals work on a DARPA program in collaboration with Brown University and Rhode Island Hospital that’s trying to restore the ability of patients with spinal cord injury to walk again. Follow Intel AI Research on Twitter: Follow Hanlin on Twitter: Follow Abigail on Twitter at: Learn more about the Intel’s global research at:
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From the Creators of Thanos: The Making of a Virtual Human – Intel on AI Season 2, Episode 9
11/24/2020
From the Creators of Thanos: The Making of a Virtual Human – Intel on AI Season 2, Episode 9
In this Intel on AI podcast episode guest Doug Roble, the senior director of software research and development at Digital Domain, joins hosts Abigail Hing Wen and Amir Khosrowshahi to talk about how Digital Domain creates virtual effects for blockbuster movies. Doug, Abigail, and Amir discuss how Digital Domain developed virtual characters for Brad Pitt in The Curious Case of Benjamin Button and Josh Brolin in Avengers: Endgame, the technology and AI models that go into creating such complex visuals, and the virtual humans the company is working on today. To see the latest digital humans the company is developing, watch this YouTube video at: . Follow Digital Domain on Twitter at: Follow Abigail on Twitter at: Learn more about the future of AI at:
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A Modern History of AI with Turing Award Winner Yann LeCun – Intel on AI Season 2, Episode 8
11/11/2020
A Modern History of AI with Turing Award Winner Yann LeCun – Intel on AI Season 2, Episode 8
In this episode of Intel on AI guest Yann LeCun, chief AI scientist at Facebook and professor at NYU, joins host Abigail Hing Wen to talk about the history and adoption of AI. Considered one of the “godfathers of AI” and an ACM Turing Award Laureate, Yann has seen the ups and downs of AI for decades. Yann and Abigail talk about the origins of AI, how the ideas and advancements in technology proliferated, and what the future of AI holds. Follow Yann on Twitter at: Follow Abigail on Twitter at: Learn more about the future of AI at:
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Data for Black Lives with Yeshi Milner – Intel on AI Season 2, Episode 7
10/28/2020
Data for Black Lives with Yeshi Milner – Intel on AI Season 2, Episode 7
In this episode of Intel on AI guest Yeshimabeit (Yeshi) Milner, founder and executive director of , joins host Abigail Hing Wen to talk about how AI technology is falling short for too many. Yeshi and Abigail talk about how AI can exacerbate the historically negative impacts on the Black community, improving accountability and transparency in fintech, how to break down the silos between scientists and activists, and why it’s important to have a diverse set of voices in the room when monumental decisions in technology are being made. Follow Yeshi on Twitter at: Follow Abigail on Twitter at: Learn more about the future of AI at:
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Inside Facebook AI with Jerome Pesenti – Intel on AI Season 2, Episode 6
10/21/2020
Inside Facebook AI with Jerome Pesenti – Intel on AI Season 2, Episode 6
In this episode of Intel on AI guest Jerome Pesenti, Head of AI at Facebook, joins host Abigail Hing Wen to talk about the different ways the company uses AI technology. Jerome and Abigail discuss the three areas Facebook is focusing on for AI development, the challenges of creating systems that feel natural to users, and how social media platforms impact our lives. Also in this episode, Abigail talks with Sam Small, Chief Security Officer at ZeroFox, about using AI for risk protection across social media. Follow Jerome on Twitter at: Follow Abigail on Twitter at: Learn more about the future of AI at:
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AI & Ethics with Bernhardt Trout – Intel on AI – Season 2, Episode 5
10/19/2020
AI & Ethics with Bernhardt Trout – Intel on AI – Season 2, Episode 5
In this Intel on AI podcast guest Bernhardt Trout, professor of chemical engineering and director of the Society, Engineering, and Ethics (SEE) at MIT, joins podcast host Abigail Hing Wen to talk about the ethical implications of AI. Bernhardt and Abigail discuss the classic thought experiment “the trolley problem” and autonomous vehicles, cultural differences in technology, the Turing test, what constitutes true artificial intelligence, and why it’s important to think about happiness when discussing the future implications of machines in society. Follow MIT Chemical Engineering on Twitter at: Follow Abigail on Twitter at: Learn more about the future of AI at:
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The Future of Work with Sandra Rivera – Intel on AI Season 2, Episode 4
10/07/2020
The Future of Work with Sandra Rivera – Intel on AI Season 2, Episode 4
In this episode of Intel on AI guest Sandra Rivera, Executive Vice President and Chief People Officer at Intel, joins host Abigail Hing Wen to talk about AI and the future of work. Sandra and Abigail discuss the accelerating future of work, how AI is helping us identify and retain talent, and Sandra’s personal journey into leadership at Intel. Also in this episode, Ben Taylor, Chief AI Evangelist at DataRobot, talks with Abigail about how to fix AI models to avoid biases in the field of human resources. Follow Sandra on Twitter at: Follow Abigail on Twitter at: Learn more about the future of AI at:
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AI & the Developing World with Ed Hsu – Intel on AI – Season 2, Episode 3
10/06/2020
AI & the Developing World with Ed Hsu – Intel on AI – Season 2, Episode 3
In this episode of Intel on AI guest Edward (Ed) Hsu, senior adviser of disruptive technologies at World Bank, joins host Abigail Hing Wen to talk about how AI will continue to impact the developing world. Ed sits at the intersection of one of the world’s oldest problems—global poverty—and newest solutions—artificial intelligence. His role includes managing special initiatives and developing partnerships with multinational technology companies. Ed and Abigail discuss how AI is being applied to the developing world, the challenges being faced, and how companies can help ensure technological gains aren’t only being made in certain sectors of the global economy. Follow World Bank on Twitter at: Follow Abigail on Twitter at: Learn more about the future of AI at:
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Smart Robots: From the Lab to the World with Pieter Abbeel – Intel on AI Season 2, Episode 2
09/30/2020
Smart Robots: From the Lab to the World with Pieter Abbeel – Intel on AI Season 2, Episode 2
In this Intel on AI podcast guest Pieter Abbeel, one of the world’s leading AI roboticists, joins host Abigail Hing Wen to talk about bringing AI robots into the world. Professor Pieter Abbeel is Director of the Berkeley Robot Learning Lab and co-director of the Berkeley Artificial Intelligence (BAIR) Lab. Abbeel’s research strives to build ever more intelligent systems, pushing the frontiers of deep reinforcement learning, deep imitation learning, deep unsupervised learning, transfer learning, meta-learning, and learning to learn. His lab also investigates how AI could advance other science and engineering disciplines. Pieter and Abigail discuss why twenty years from now almost all robots will be learning robots and how technology can help make that transition happen now. Follow Pieter on Twitter at: Follow Abigail on Twitter at: Learn more about the future of AI at: Learn more about the future of AI at:
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