Sentences with phrase «of their neural networks even»

Not exact matches

As New York University professor Gary Marcus explains, deep learning systems have millions or even billions of parameters, identifiable to their developers only in terms of their geography within a complex neural network.

When it does this it actually produces an even more powerful neural network, which leads to another new iteration of the player.

Neural networks in the spinal cord, locomotion center are capable of producing rhythmic movements, such as swimming and walking, even when isolated from the brain.

The fact that the cooperation involves the sense of touch is in this context less important; when it comes to neurological diseases (and even if the damage is local, as in the case of stroke) the entire neural network is disrupted.

As Manel del Valle, the main author of the study, explains: «The concept of the electronic tongue consists in using a generic array of sensors, in other words with generic response to the various chemical compounds involved, which generate a varied spectrum of information with advanced tools for processing, pattern recognition and even artificial neural networks.»

A benefit of using sophisticated neural networks, the researchers noted, is that they can identify features that weren't even sought in the initial experiment, like finding a needle in a haystack when you weren't even looking for it.

As Manel del Valle, the main author of the study, explains to SINC: «The concept of the electronic tongue consists in using a generic array of sensors, in other words with generic response to the various chemical compounds involved, which generate a varied spectrum of information with advanced tools for processing, pattern recognition and even artificial neural networks.»

«How is it possible that we can react to sensory stimuli with millisecond precision if intermediate processing elements — on the level of single synapses, single neurons, small networks and even large neural systems — vary significantly in their response to the same repeated stimulus?»

It's easy for people to dwell on negative affective states because, according to neuroscientists, there are more neural networks in the brain associated with negative affect than with positive affect (Baumeister, Bratslavsky, Finkenauer, & Vohs, 2001); some scientists even speculate that these may be in the ratio of 5 to 1.

They're supposed to have some kind of «intelligence» as they mimic neurons in a crude fashion — but their performance and even the name «neural network» is all hype.

It even worked with professional mask - makers and make - up artists in Hollywood to train its neural networks and thus protect Face ID against those sort of bypass attempts.

A little under two months after deepfakes effectively went viral, the practice has become more widespread and even easier to perform, with another Redditor creating a user - friendly piece of software known as FakeApp that lets basically anyone start training a neural network to perform these face swaps.