Get all your news in one place.
100's of premium titles.
One app.
Start reading
The Conversation
The Conversation
Science
Paul S. Rosenbloom, Professor Emeritus of Computer Science, University of Southern California

Cross-pollination among neuroscience, psychology and AI research yields a foundational understanding of thinking

If you want to build a true artificial mind, start with a model of human cognition. DrAfter123/DigitalVision Vectors via Getty Images

Progress in artificial intelligence has enabled the creation of AIs that perform tasks previously thought only possible for humans, such as translating languages, driving cars, playing board games at world-champion level and extracting the structure of proteins. However, each of these AIs has been designed and exhaustively trained for a single task and has the ability to learn only what’s needed for that specific task.

Recent AIs that produce fluent text, including in conversation with humans, and generate impressive and unique art can give the false impression of a mind at work. But even these are specialized systems that carry out narrowly defined tasks and require massive amounts of training.

Sign up to read this article
Read news from 100's of titles, curated specifically for you.
Already a member? Sign in here
Related Stories
Top stories on inkl right now
One subscription that gives you access to news from hundreds of sites
Already a member? Sign in here
Our Picks
Fourteen days free
Download the app
One app. One membership.
100+ trusted global sources.