Gašper’s work combines machine learning, statistical modeling, neuroimaging, and behavioral experiments “to better understand how neural networks learn internal representations in speech and how humans learn to speak.”
One thing that surprised him about generative adversarial networks (GANs)? How innovative they are, capable of generating English words they’ve never heard before based on words they have.
Universal grammar proposes a hypothetical structure in the brain responsible for humans’ innate language abilities. The concept is credited to the famous linguist Noam Chomsky; read his take on GenAI.
Find the Berkeley Speech and Communication Network here.
Congratulations to Lifeboat badge winner and self-proclaimed data nerd John Rotenstein, who saved How can I delete files older than seven days in Amazon S3? from the ignominy of ignorance.