The scientific foundations of the AI revolution


The scientific foundations of the AI revolution

In a four-part series, the evolution of generative AI is examined. This series delves into the scientific and technological developments that transformed artificial neurons into the powerful large language models that we see today in apps like ChatGPT. Part one explores the concept of intelligence and how it relates to both human and artificial intelligence.

Part two delves into the process of how machines learn, which is fundamental to artificial intelligence. The episode explores how artificial neurons can be used to find patterns in data and the mathematics behind this process. Part three discusses the innovations that propelled the field of artificial intelligence forward, including big datasets and specialized computer chips that transformed the field of computer science.

Part four focuses on what made AI models generative, highlighting the arrival of ChatGPT and its human-like text. This episode also explores the creative skills that AI models have developed and how they are transforming various industries. The podcast is available on Apple Podcasts and Spotify, and a live event will be held on Thursday April 4th to answer questions about AI. Listeners can submit their questions at economist.com/aievent, and podcast transcripts are available upon request at [email protected] for improved accessibility.

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