Intel on AI

Latest Episodes:

The Need for New Deep Learning Architectures – Intel on AI Season 3, Episode 3 Dec 01, 2021

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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. Yoshua is a professor at the Department of Computer Science and Operations Research at the Université de Montréal and scientific director of the Montreal Institute for Learning Algorithms (Mila). In 2018 Yoshua received the ACM A.M. Turing Award with Geoffrey Hinton and Yann LeCun.

In the episode, Yoshua and Amir 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. Yoshua also goes into detail about equilibrium propagation—a learning algorithm that bridges machine learning and neuroscience by computing gradients closely matching those of backpropagation. Yoshua and Amir close the episode by talking about academic publishing, sharing information, and the responsibility to make sure artificial intelligence (AI) will not be misused in society, before touching briefly on some of the projects Intel and Mila are collaborating on, such as using parallel computing for the discovery of synthesizable molecules.

Academic research discussed in the podcast episode:

Biological Intelligence and the Limitations of Deep Neural Networks – Intel on AI Season 3, Episode 2 Nov 03, 2021

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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 is the Davis Professor of Complexity at the Santa Fe Institute, former professor of Computer Science at Portland State University, and the author/editor of six books and numerous scholarly papers in the fields of artificial intelligence, cognitive science, and complex systems, including Complexity: A Guided Tour and Artificial Intelligence: A Guide for Thinking Humans.

In the episode, Melanie and Amir discuss how intelligence emerges from the substrate of neurons and why being able to perceive abstract similarities between different situations via analogies is at the core of cognition. Melanie goes into detail about deep neural networks using spurious statistical correlations, the distinction between generative and discriminative systems and machine learning, and the theory that a fundamental part of the human brain is trying to predict what is going to happen next based on prior experience. She 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.

Academic research discussed in the podcast episode:

From Jumping Spiders to Silicon: Neuroscience and the Future of Computing - Intel on AI Season 3, Episode 1 Sep 29, 2021

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In this episode of Intel on AI host Amir Khosrowshahi and Bruno Olshausen talk about neuroscience and the future of computing. Bruno is a professor at Berkeley with appointments in the Helen Wills Neuroscience Institute and School of Optometry. He is also the director of the Redwood center for Theoretical Neuroscience, which brings the fields of physics, mathematics, engineering, and neuroscience together to study how networks of neurons in the brain process information.

In the episode, Bruno and Amir discuss research about recording large populations of neurons, hyperdimensional computing, and discovering new types of engineering principles. Bruno talks about how in order to understand intelligence and its underpinnings, we have to understand the origins of intelligence and perceptual psychology outside of mammalian brains. He points to the sophisticated visual system of jumping spiders as inspiration for developing systems that use low energy in a small form factor. By better understanding the origins of perception and other biophysical structures, Bruno theorizes the artificial intelligence field may evolve beyond image recognition tasks of current neural networks. 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.

Academic research discussed in the podcast episode:

The AI of Tomorrow – Intel on AI – Season 2, Episode 17 Mar 08, 2021

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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: twitter.com/abigailhingwen Follow Amir on Twitter: twitter.com/khosra

AI and Government with US Congresswoman Robin Kelly – Intel on AI Season 2, Episode 16 Feb 18, 2021

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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: twitter.com/reprobinkelly Follow Abigail on Twitter: twitter.com/abigailhingwen

Genentech: Biomedicine Meets AI – Intel on AI Season 2, Episode 15 Feb 11, 2021

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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: twitter.com/genentech Follow Abigail on Twitter: twitter.com/abigailhingwen Learn more about Intel’s work in AI: intel.com/ai

Public Policy with Partnership on AI’s Terah Lyons – Intel on AI Season 2 – Episode 14 Jan 13, 2021

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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: twitter.com/terahlyons Follow Abigail on Twitter: twitter.com/abigailhingwen Learn more about Intel’s work in AI: intel.com/ai

DeepMind: From the Lab to the World – Intel on AI – Season 2, Episode 13 Dec 23, 2020

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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: twitter.com/DeepMind Follow Abigail on Twitter: twitter.com/abigailhingwen Learn more about Intel’s work in AI: intel.com/ai

Algorithmic Fairness with Alice Xiang – Intel on AI – Season 2, Episode 12 Dec 16, 2020

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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: twitter.com/alicexiang Follow Abigail on Twitter: twitter.com/abigailhingwen Learn more about Intel’s work in AI: intel.com/ai

Emotion and AI with Rana el Kaliouby – Intel on AI – Season 2, Episode 11 Dec 09, 2020

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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: twitter.com/kaliouby Follow Abigail on Twitter: twitter.com/abigailhingwen Learn more about Intel’s work in AI: intel.com/ai