Biological Intelligence and the Limitations of Deep Neural Networks – Intel on AI Season 3, Episode 2
Release Date: 11/03/2021
Intel on AI
Learn about building cutting-edge AI tools, tailored for internal use with Intel experts Boaz Efroni Rotman and Barbara Roos. They dive into the creation of IGPT and VITA, Intel's innovative solutions for secure information sharing and productivity, and share insights on balancing generalized versus specialized AI tools. Whether you're curious about AI adoption strategies, tackling data challenges, or the future of CRM, this episode is packed with actionable advice for businesses navigating the AI revolution. RESOURCES: · Vita white paper: ...
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Explore real-world applications driving sustainability, productivity, and accessibility, from disaster prediction to personalized banking and interactive kiosks. Join Scott Tease, VP and GM of Lenovo’s Infrastructure Solutions Group as we discuss cutting-edge innovations like liquid cooling systems, which enhance energy efficiency in data centers and learn how AI is shifting from the cloud to the edge, making advanced technology accessible and sustainable for businesses and consumers alike. Scott also highlights Lenovo's commitment to sustainability, discussing innovative approaches...
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Dive into the transformative potential of Retrieval Augmented Generation (RAG) with Intel's Bill Pearson and Deloitte's Baris Sarer. In this episode, they discuss how RAG combines enterprise data with large language models to unlock new efficiencies and insights. From tackling data governance and security challenges to exploring cutting-edge solutions at the edge and in the cloud, this conversation unpacks the real-world applications, benefits, and future of AI-driven data management in the enterprise. Learn more about .
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Learn about the development of low-resource language models with Ian Gilmour, founder of Euler Digital and creator of Bezoku. Ian shares how Bezoku evolved from AI Forum, addressing the challenge of creating AI models for languages with limited data. He emphasizes the need for low-resource language models and their potential use cases, like polling and surveying, through techniques like reinforcement learning. Gilmour also delves into technical strategies, such as homomorphic encryption and synthetic data, for building secure and efficient AI solutions.
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Tune in to learn about the future of AI deployments, from cost-effective CPU instances to the seamless integration of multiple models for robust AI systems with Jeff Boudier from Hugging Face and Sudeep Sharma from Amazon EC2. Jeff shares Hugging Face's mission to democratize machine learning, highlighting the ease and affordability of using diverse models on their platform. Sudeep dives into how AWS is tackling evolving customer demands by delivering next-gen Intel-powered instances, including the Gen7 Intel Sapphire Rapids processors, which optimize AI and machine learning tasks....
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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...
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In this episode, Sean Phan from Pixel ML explores the transformative power of agentic workflows in automating complex processes and enhancing operational efficiency across industries. He shares insights on how AI-driven automation is being used to scale event engagement and streamline workflows in large enterprises. Sean also discusses the future potential of these workflows to revolutionize various industries.
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Explore the transformative potential of AI in the enterprise, guided by insights from Anil Nanduri, Vice President and Head of Intel AI Accelerator Office. Learn why integrating AI is crucial for staying competitive and uncover the benefits of scalable solutions. This episode delves into a flexible, secure approach to AI, ensuring seamless integration with existing enterprise systems and maximizing ROI. Tune in to discover how enterprises can leverage AI to drive innovation and efficiency. #IntelAI @IntelAI
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Join us in this episode as we dive into the transformative impact of responsible AI with David Ellison, Chief Data Scientist at Lenovo. Discover how Lenovo's Responsible AI Committee and its six guiding principles are setting new standards for privacy, security, and diversity in AI. David shares practical techniques such as data minimization and differential privacy, highlighting their roles in promoting transparency, accountability, and sustainable innovation in AI. Learn how these practices are not only shaping Lenovo's AI strategy but also paving the way for a more ethical and inclusive...
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Whether you're an AI enthusiast or a business looking to integrate AI into your operations, this episode offers valuable insights into the rapidly evolving AI landscape. Join Seamus Jones, Director of Technical Marketing/Engineering at Dell, as he explains how Dell is creating comprehensive AI solutions. These solutions encompass everything from AI infrastructure and hardware to software stacks, making AI deployment easier for businesses. Explore exciting AI use cases such as computer vision in retail and multimodal applications in logistics. Learn how enterprises can leverage AI...
info_outlineIn 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:
- Gödel, Escher, Bach: an Eternal Golden Braid
- Fluid Concepts and Creative Analogies: Computer Models Of The Fundamental Mechanisms Of Thought
- A computational model for solving problems from the Raven’s Progressive Matrices intelligence test using iconic visual representations
- A Framework for Representing Knowledge
- On the Measure of Intelligence
- The Abstraction and Reasoning Corpus (ARC)
- Human-level concept learning through probabilistic program induction
- Why AI is Harder Than We Think
- We Shouldn’t be Scared by ‘Superintelligent A.I.’ (New York Times opinion piece)