OM DENNE EPISODE
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.
Engelsk
USA
UDSKRIFT 🔗
Are you the producer of this podcast?
Add a podcast transcript
Need Audio-to-Text?
Transcribe with Listen411 in Just 60 Seconds
SØK BLANT TIDLIGERE EPISODER
Søk etter gamle episoder av The Internet is Crack.
ANDRE EPISODE I DENNE PODKAST
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.
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.
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. 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.
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.
Ansvarsfraskrivelse: Podkasten og kunstværket, det finnes indlejret på denne siden, er fra Risllo Productions LLC, som tilhører dens eier og ikke er tilknyttet eller godkjent av Listen Notes, Inc.
REDIG
Takk fordi du hjelper med å holde podkast-databasen oppdatert.