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. #IntelAI @IntelAI

Building AI Tools to Transform Sales and Marketing, an Inside Look 12/05/2024

Real-world applications driving sustainability and productivity, with Scott Tease 11/21/2024

Accelerating Enterprise AI Adoption with RAG Solutions 11/08/2024

Building AI for Low-Resource Languages: Bezoku's Innovative Approach 10/10/2024

Improving Developer Benefits Through AWS and Hugging Face Collaboration 09/26/2024

Accelerating AI at the Edge with Oracle Roving Edge Infrastructure 09/11/2024

Accelerating AI at the Edge with Oracle Roving Edge Infrastructure Learn about the origins of Oracle’s Roving Edge Device, and how the next-gen iteration with updated Intel processors is leading to breakthrough advancements in defense, agriculture, and healthcare. Recorded live at Oracle CloudWorld 2024 in Las Vegas with Matt Leonard, VP of OCI Edge and Cloud Infrastructure, Peter Guerra, Global VP of Data and AI, and guest host, Andy Morris from Intel Enterprise AI. The conversation also highlights Oracle and Intel's 31-year partnership and innovations in AI deployment at the edge. Guests include: Matt Leonard is Vice President of OCI Edge Cloud product management at Oracle, leading product strategy and vision for bringing the power of cloud computing to the edge. Matt’s goal is to enable customers to deploy and manage applications anywhere. With over 20 years of experience in product management, integration, and IT advisory, Matt has a proven track record of delivering successful products and solutions for leading tech companies such as Google, Microsoft, and Amazon. Peter Guerra, Global Vice President, Data & AI at Oracle, is a proven Data & AI executive with over 20 years of experience with commercial and public sector customers. Prior to Oracle, he led AI teams at Microsoft, AWS, Accenture and Booz Allen Hamilton. His career has been to focus on data & AI solutions for customers in defense, public sector, health, energy, and retail. He is a technical expert in AI and data platforms, having led numerous deployments and algorithm development solutions, including contributing to the Apache Accumulo and Apache Nifi projects. He has written thought pieces for O’Reilly, published papers in IEEE, and has spoken at industry events such as NVIDIA’s GTC, Oracle CloudWorld, Blackhat, and more. Peter holds a Bachelor of Science in Computer Science, a Bachelor of Art in English from University of Maryland, and an MBA with Information Systems concentration from Loyola University. /episode/index/show/intelonai/id/33012537

Leveraging the Transformative Power of Agentic Workflows 08/29/2024

Enterprise AI Insights: Navigating the Future of Business 08/15/2024

Transforming AI Responsibly - Insights with David Ellison and Lenovo 08/01/2024

Making it Easier for Businesses to Deploy AI Today with Comprehensive AI Solutions Featuring Seamus Jones 07/19/2024

The Importance of Flexibility and Governance in AI Model Management, with Robert Daigle 07/03/2024

Leveraging AI for Business Leadership: Daily Insights with Nathaniel Whittemore 06/20/2024

Multimodal AI, Self-Supervised Learning, Counterfactual Reasoning, and AI Agents with Vasudev Lal 06/06/2024

Real-world manufacturing applications of AI and autonomous machine learning, with Rao Desineni 05/22/2024

Open ecosystems and AI data foundations, with Dr. Wei Li 05/09/2024

Intel on AI - The future of AI models and how to choose the right one, with Nuri Cankaya 04/19/2024

Evolution, Technology, and the Brain – Intel on AI Season 3, Episode 13 08/17/2022

Meta-Learning for Robots – Intel on AI Season 3, Episode 12 06/15/2022

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: . /episode/index/show/intelonai/id/23218490

Machine Learning and Molecular Simulation – Intel on AI Season 3, Episode 10 05/04/2022

AI and Nanocomputing - Intel on AI Season 3, Episode 9 03/30/2022

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: /episode/index/show/intelonai/id/22040360

Learning with AI – Intel on AI Season 3, Episode 7 01/26/2022

Computing with DNA – Intel on AI Season 3, Episode 6 12/22/2021

Stephen Wolfram on the Current State of Artificial Intelligence – Intel on AI Season 3, Episode 5 12/15/2021

Moving Beyond CMOS – Intel on AI Season 3, Episode 4 12/08/2021

The Need for New Deep Learning Architectures – Intel on AI Season 3, Episode 3 12/01/2021

Biological Intelligence and the Limitations of Deep Neural Networks – Intel on AI Season 3, Episode 2 11/03/2021

From Jumping Spiders to Silicon: Neuroscience and the Future of Computing - Intel on AI Season 3, Episode 1 09/29/2021

The AI of Tomorrow – Intel on AI – Season 2, Episode 17 03/08/2021

Intel on AI

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