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2024 Summer Institute Recommended Resources List

From our Learning Partners:

Toshi Hoo & Sara Skvirsky, Institute For The Future  

  • AI 

    • READ: Ethan Mollick’s Co-Intelligence: Living and Working with AI for some of the most informed and insightful perspectives on genAI and it’s implications for work and learning. 

    • READ: AI artist and engineer James Bridle’s Ways of Being: Animals, Plants, Machines: The Search for a Planetary Intelligence” for a fascinating journey through the parallel histories of both studying biological intelligence and building artificial intelligence to help understand the wider ranges of intelligence we could be building for the future. 

    • LISTEN: Cognitive Revolution Podcast to hear interviews with some of the scientists and engineers building the AI technology and products of the future. Learn about some of the more complex and nuanced aspects of genAI from  

    • LEARN: Register for IFTF’s Three Horizons of AI course the uses strategic foresight tools to explore the near, mid and long term futures that genAI presents. 

  • XR 

    • READ: Stanford Prof Jeremy Bailenson’s Experience on Demand: What Virtual Reality Is, How It Works, and What It Can Do for one of the best unpackings of XR technology from one of the world’s most advanced researchers on the topic. 

    • READ: Matthew Ball’s The Metaverse: And How It Will Revolutionize Everything to understand the future opportunities and challenges in creating a truly mature and interconnected “metaverse” 

    • LISTEN: Kent Bye’s Voices of VR podcast to learn from over 1,000 interviews with XR researchers, designers, developers, philosophers and critics including a number experts in education and XR. 

  • Strategic Foresight 

    • READ: IFTF's Jane McGonigal, book Imaginable: How to See the Future Coming and Feel Ready for Anything―Even Things That Seem Impossible Today to build develop your capacity to “imagine the future without fear”. 

    • WATCH: Toshi Hoo’s talk From the Singularity to the Multiverse: Shifting Media Mythologies that explores emerging mythological archetypes for imagining the future and the contrasting narratives they reflect. 

    • LISTEN: IFTF’s FutureNow Podcast series to hear conversations with a wide range of experts and futures practitioners. Including an interview with Toshi Hoo and Ethan Mollick on the topic of AI and education. 

 

Zach Mannheimer, Alquist 3D 

  • 3D Printing: NPR 

  • Workforce: AIMS Community College 

  • Economics of 3D: Marketplace 

  • 3D overview: LA Times 

 

 

Matt Kirchner, Lab Midwest 

TECHED PODCASTS: 

  • Education Reimagined – North Dakota Governor Doug Burgum + Matt Kirchner 

  • Developing an AI Strategy – Todd Wanek, President & CEO of Ashley Furniture + Matt Kirchner 

  • Strengthening STEM in America – Chair of the House Committee on Science, Space & Technology Congressman Frank Lucas + Matt Kirchner 

  • 11 Predictions - How AI will Transform Manufacturing  – Matt Kirchner 

  • Using AI to Build Better Relationships – Canay Deniz, CEO of Ren Systems + Matt Kirchner 

  • AI Driven Learning – Dr. Rich Barnhouse, President, Waukesha County Technical College + Matt Kirchner 

  • Industrial Robots Powered by AI – Ariyan Kabir, CEO of GrayMatter Robotics + Matt Kirchner 

  • An AI Tool to Digitize Drawings – CADDi CEO Yushiro Kato + Matt Kirchner 

  • Drones, Applied AI & Logistics – Gather AI VO Sean Mitchel + Matt Kirchner 

  • Data Analytics and AI in Medicine – Dr. Julie Panepinto, National Institutes of Health + Matt Kirchner 

YOUTUBE:  

  • 4 Elements of Artificial Intelligence and How to Teach Them – Matt Kirchner 

  • What’s New in Automation – AI, Digital Twins, Cobots & More – Mike Cicco, President & CEO of FANUC America Corporation + Matt Kirchner 

ARTICLES:  

  • How Artificial Intelligence will Revolutionize Your Business – Matt Kirchner, Gardner Business Media 

  • How Incredible Finishing Companies Predict the Future - Matt Kirchner, Gardner Business Media 

  • Demystifying Artificial Intelligence - Matt Kirchner, Gardner Business Media 

 

Dwayne Matthews, TomorrowNow Learning Labs 

  • https://www.literatu.com/share/presto/lyyqnxkx 

 

 

From ChatGPT  

Books: 

  • "Life 3.0: Being Human in the Age of Artificial Intelligence" by Max Tegmark. This book explores the possibilities and implications of AI in the future.  

  • "The Singularity Is Near: When Humans Transcend Biology" by Ray Kurzweil. Kurzweil discusses the future of technology and its impact on humanity. 

  

Articles and Blogs:  

  • Towards Data Science: A Medium publication with a wide range of articles on AI, machine learning, and data science. 

  •  OpenAI Blog: Offers insights into the latest research and developments in AI. 

  

 Online Courses:   

  • Coursera and edX offer courses on AI and related topics taught by professors from universities like Stanford and MIT. 

  • Fast.ai provides practical deep learning courses that are beginner-friendly. 

  

YouTube Channels:  

  • Two Minute Papers: Summarizes the latest research papers in AI and computer graphics in a digestible format. 

  •  Siraj Raval: Provides tutorials, explanations, and commentary on AI and machine learning concepts. 

  • The Age of A.I. 

   

 Documentaries and Films:   

  • "AlphaGo" (2017): A documentary about the development of the AI program AlphaGo and its matches against human Go champions. 

  •  "Ex Machina" (2014): A sci-fi film that explores the relationship between humans and AI through the story of a young programmer and an advanced AI. 

  

 Podcasts: 

  • "Talking Machines": Explores the human side of machine learning and the ethical considerations surrounding AI. 

  

 Interactive Websites: 

  •  TensorFlow Playground: Allows users to experiment with neural networks in a browser-based environment. 

  •  Kaggle: Offers datasets, competitions, and kernels (code notebooks) for practicing data science and machine learning. 

  

TED Talks: 

  • "The Wonderful and Terrifying Implications of Computers That Can Learn" by Jeremy Howard: Discusses the potential of deep learning and its societal impacts. 

 

AFIT Recommendations 

Imaginable

McKinsey

MIT | Corresponding paper 

Generative AI 101 podcast (Emily Laird from UW-Stout)

 

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