Melanie Mitchell Takes AI Research Back to Its Roots
Listen now
Description
Melanie Mitchell, a professor of complexity at the Santa Fe Institute and a professor of computer science at Portland State University, acknowledges the powerful accomplishments of "black box" deep learning neural networks. But she also thinks that artificial intelligence research would benefit most from getting back to its roots and exchanging more ideas with research into cognition in living brains. This week, she speaks with host Steven Strogatz about the challenges of building a general intelligence, why we should think about the road rage of self-driving cars, and why AIs might need good parents. Read more at https://www.quantamagazine.org/melanie-mitchell-takes-ai-research-back-to-its-roots-20210419/.
More Episodes
Published 03/17/22
An introduction to the new Quanta Magazine podcast The Joy of Why, in which noted mathematician and author Steven Strogatz talks with experts about some of the greatest scientific questions of all time.
Published 03/17/22
Behaviors are sometimes described as being "hardwired," but the work of the celebrated neuroscientist Eve Marder of Brandeis University has explored a crucial difference between neural circuits and engineered ones: Neurons need to be resilient in the face of their own ongoing biomolecular...
Published 05/17/21