The Future of Energy: Powering AI, Quantum Computing, and Green Tech

Hosts Stephen Horn and Autria Godfrey explore the growing energy demands driven by machine learning and AI. As we navigate through the challenges of powering the future, we discuss the rise of data centers, the promise of photovoltaic solar energy, and the potential of nuclear fusion.

Join us as we interview leading experts, including Henry Snaith from Oxford University on revolutionary solar cell materials, and Mark Hersam from Northwestern University on neuromorphic computing. We also dive into the world of quantum computing with insights from D-Wave's Murray Thom.

Are these technologies the key to a sustainable future? Can we meet the surging energy demands while keeping the planet green? Tune in to find out!

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Program Notes: Goldman Sacs AI Energy report: https://www.goldmansachs.com/insights....
EPRI AI Energy Report: https://www.epri.com/research/product...


YouTube Chapters:
0:00 - Introduction to Agents of Tech 0:25 - The Growing Energy Demand 1:00 - Goldman Sachs Predictions on Electricity Consumption 1:45 - Data Centers and AI: Energy Implications 3:00 - Interview with Henry Snaith: Photovoltaic Solar Energy 4:30 - Metal Halide Perovskites: The Future of Solar Power 7:15 - Challenges and Criticisms of Perovskites 10:00 - Commercialization of Solar Technologies 12:45 - Nuclear Fusion: Limitless Clean Energy 15:00 - Neuromorphic Computing with Mark Hersam 18:00 - Von Neumann Bottleneck and Computing Limitations 20:00 - Neuromorphic Devices in AI and Machine Learning 23:00 - Quantum Computing with Murray Thom 24:00 - Energy Efficiency in Quantum Systems 25:30 - Quantum Science and Technology: A Watershed Moment 28:00 - Future of Quantum Computing 29:30 - Conclusion and Next Episode Teaser