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Lex Fridman
Richard Socher from Salesforce delivered a comprehensive overview of Deep Learning for Natural Language Processing (NLP), framing the field at the intersection of computer science, AI, and linguistics. He argued that while traditional NLP relied heavily on discrete representations like WordNet taxon …
Lex Fridman
One of history's greatest achievements in artificial intelligence was IBM Watson competing against human champions on *Jeopardy!*, a challenge that David Ferrucci, then a lead at IBM Research, spearheaded to demonstrate advanced open-domain question answering capabilities. Unlike standard search eng …
Lex Fridman
The Alexa Prize represents a grand challenge in conversational artificial intelligence, inviting universities to build social bots capable of engaging users coherently for twenty minutes on evolving topics. This competition has successfully run three instances involving cohorts from institutions lik …
Lex Fridman
In this episode of the Lex Fridman Podcast, Michael I. Jordan reflects on the history and trajectory of artificial intelligence (AI), comparing its current state to the emergence of chemical engineering in the early 20th century. He argues that while we have strong theoretical foundations in statist …
Lex Fridman
In this episode of the Lex Fridman Podcast, Dawn Song, a computer science professor at UC Berkeley and expert in security and machine learning, addresses the fundamental inevitability of vulnerabilities in software systems. She explains that while formal verification techniques can prove certain pro …