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The Next Decade in AI: Four Steps Towards Robust Artificial Intelligence (arxiv.org)
1 point by MAXPOOL on Aug 6, 2020 | hide | past | pdf | discuss on HN

In plain words: A proposed AI design pairs general-purpose learning with built-in knowledge and step-by-step reasoning, organized around models of how people think. Unlike today's push for ever-larger training sets and more computing power, this mix is argued to yield AI that is richer and more robust.

Abstract

Recent research in artificial intelligence and machine learning has largely emphasized general-purpose learning and ever-larger training sets and more and more compute. In contrast, I propose a hybrid, knowledge-driven, reasoning-based approach, centered around cognitive models, that could provide the substrate for a richer, more robust AI than is currently possible.

Gary Marcus
arXiv:2002.06177 · cs.AI, cs.LG · submitted Feb 14, 2020 · updated Feb 19, 2020
abstract · pdf · 5 figures

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