INFORMAZIONI SU QUESTO EPISODIO
Dr. Alan Winfield explores how robots evolve through error, imitation, and iteration, revealing surprising parallels with human learning, culture, and creativity, while questioning what “learning” really means for machines.
Inglese
Stati Uniti
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CERCA TRA GLI EPISODI PASSATI
Cerca gli episodi passati di The Internet is Crack.
ALTRI EPISODI IN QUESTO PODCAST
We speak with Dr. Green about the explosive growth of AI data centers, their enormous power and water demands, environmental impact, and whether the race to build AI infrastructure is sustainable.
We speak with Dr. Sandra Wachter about how our data fuels AI, search, and algorithms, often without our knowledge. We discuss how the law must evolve to protect users’ data and to regulate how it is collected and analyzed.
Dr. Dustin Weissman explores AI’s emotional impact, healthy technology habits, parenting in the digital age, and practical strategies for building a balanced relationship with artificial intelligence and the internet.
In part two of our interview with Dr. Guy Hoffman, we explore why artists and engineers both shape robotics and why meaningful robot evolution may arrive much more slowly than expected.
Dr. Guy Hoffman joins us to explore the future of robotics, separating hype from reality. We discuss which approaches are likely to succeed, which may fail, and why truly capable robots could take much longer than many expect.
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