When AI Became ML, and then AI Again: Tracing the Evolution of Terms and Technologies – Marcus Eagan
When AI Became ML, and then AI Again: Tracing the Evolution of Terms and Technologies – Marcus Eagan, Weaviate
This presentation explores how two terms once used interchangeably, AI and ML, diverged and then converged again, reflecting the dynamic nature of the field. The talk begins by delving into the early days of AI, examining its ambitious goals and the initial excitement that surrounded it. We then transition to the era when ML emerged as a distinct discipline, marked by a more focused approach on algorithms, data, and statistical methods. This phase represented a shift from the broad, often speculative goals of AI, to a more pragmatic and specialized field, emphasizing practical applications and achievable results. When some products of ML research became more imaginative, AI returned to the lexicon. As the demand grows for AI, so will the need for specialized infrastructure that is purpose built for the AI-era.
by The Linux Foundation
linux foundation
