A new age of AI: features and futures

Longbing Cao*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

41 Citations (Scopus)

Abstract

By reviewing the 70 years of AI, this article summarizes and discusses the paradigm transformations from the age of AI before the year 2000 to the new age of AI from the year 2000 onward. It reviews the AI thinking and features of various AI generations and paradigms during these two ages of AI and their transformations. The paper further summarizes several AI Formulas from the AI vision, system, goal, task, and process perspectives. Several important areas are highlighted in developing AI Futures: shrinking the gaps between human, natural and social AI, and developing human-like/level AI, meta AI, reflective AI, metasynthetic AI, data-driven AI, beyond IID AI, and sustainable AI. In the new age of AI, we encourage your deep thinking of AI futures.

Original languageEnglish
Pages (from-to)25-37
Number of pages13
JournalIEEE Intelligent Systems
Volume37
Issue number1
DOIs
Publication statusPublished - 2022
Externally publishedYes

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