The most remarkable thing
about neural nets is that no human being has programmed a computer to perform any of the stunts described above.
Having studied experimental psychology as an undergraduate at Cambridge, Hinton was enthusiastic
about neural nets, which were software constructs that took their inspiration from the way networks of neurons in the brain were thought to work.
Not exact matches
We already know that
neural nets work well for image recognition, observes Vijay Pande, a Stanford professor who heads Andreessen Horowitz's biological investments unit, and «so much of what doctors do is image recognition, whether we're talking
about radiology, dermatology, ophthalmology, or so many other «- ologies.»»
The first thing many of us think
about when it comes to the future relationship between artificial intelligence (AI) and cybersecurity is Skynet — the fictional
neural net - based group mind from the «Terminator» movie franchise.
There aren't yet any instruments that can measure what a large, complicated
neural net is doing in detail, especially while it is part of a living brain, so scientists have to find indirect ways of testing their ideas
about what's going on in there.
But on their own, the final values of those parameters say very little
about how the
neural net does what it does.
Even less is known
about the assembly of the
neural net within the mouse olfactory system, which, in the end, enables the individual to distinguish one smell from another with astonishing specificity and to remember such distinctions over time.
Ivan Del Duca, the studio's technical director, has strong views
about the use of
neural nets in creating its upcoming racers.
He says that one way to think
about this is to think of a continuum with supervised learning on one side and
neural nets on the other.