We’re back with more suggestions from our researchers for ways to expand your knowledge of AI.
Today’s #AtHomeWithAI recommendations are from research scientist Kimberly Stachenfeld (@neuro_kim) (1/7)
She recommends “The Scientist in the Crib” [longer listen] by @AlisonGopnik, Andrew Meltzoff, & Patricia K. Kuhl for those who are interested in what early learning tells us about the mind.
Listen along here: adbl.co/2Wwp5pE #AtHomeWithAI
Want to explore intelligence by using an approach that integrates cognitive science, neuroscience, computer science and AI?
Kimberly suggests the Brains, Minds & Machines Summer Course, offered & taught by @MBLScience and @MIT_CBMM here: bit.ly/351M6V5 #AtHomeWithAI
Interested in computational systems neuroscience? @neuro_kim recommends the lecture series from @MBLScience to learn more about circuits and system properties of the brain.
Watch them here: bit.ly/2VzCez2 #AtHomeWithAI
@neuro_kim says Theoretical Neuroscience: Computational and Mathematical Modeling of Neural Systems [longer read] by Peter Dayan & L.F. Abbott is a must read for anyone looking for an introduction to the topic.
Read here: bit.ly/2xLt2yv #AtHomeWithAI
Described as “a classic for anyone who wants to understand the roots of DL”, Kimberly recommends “The Appeal of Parallel Distributed Processing” [longer read] by James McClelland, the late David Rumelhart, & Geoffrey Hinton.
Read it here: stanford.io/2VCHbHr #AtHomeWithAI
Have your own list of favourite resources? Let us know below! #AtHomeWithAI
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