Search Results for “cross ”

Time for AI to cross the human range in English draughts

AI took over 30 years to go from beginner level to superhuman level

Time for AI to cross the human range in StarCraft

AI took about twenty years to go from beginner level to high professional level.

Time for AI to cross the human performance range in ImageNet image classification

Computer image classification performance took 3 years to go from untrained human level to trained human level

Time for AI to cross the human performance range in Go

Computer Go took over 30 years to go from beginner level to superhuman.

Time for AI to cross the human performance range in chess

Computer chess took around 50 years to go from beginner level to superhuman level.

Image credit: By J. Arthur Thomson - http://www.gutenberg.org/files/17786/17786-h/17786-h.htm, Public Domain, https://commons.wikimedia.org/w/index.php?curid=9943793

Investigation into the relationship between neuron count and intelligence across differing cortical architectures

Survey participants (n = 83) were given anonymized descriptions of behavior in the wild for four animals: one bird species and one primate species with a similar neuron count, and one bird species and one

Time for AI to cross the human performance range in diabetic retinopathy

In diabetic retinopathy, automated systems started out just below expert human level performance, and took around ten years to reach expert human level performance. Details Diabetic retinopathy is a complication of diabetes in which the back

Machines and Moral Judgment

By Jacob Sparks This was a prize-winning entry into the Essay Competition on the Automation of Wisdom and Philosophy. §1 Good AGI The explicit goal of most major AI labs is to create artificial general

Towards the Operationalization of Philosophy & Wisdom

By Thane Ruthenis This was a prize-winning entry into the Essay Competition on the Automation of Wisdom and Philosophy. Summary Philosophy and wisdom, and the processes underlying them, currently lack a proper operationalization: a set

An Overview of “Obvious” Approaches to Training Wise AI Advisors

By Chris Leong This was a prize-winning entry into the Essay Competition on the Automation of Wisdom and Philosophy. I consider four different “obvious” high-level approaches to training wise AI advisors. I consider imitation learning

AI Impacts

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