The MIT researchers» chip brings in a single
node of the neural network at a time, but it passes the data from 32 consecutive 10 - millisecond increments through it.
Not exact matches
With the rise
of the artificial
neural network, which mirrors the interconnected
nodes of the human brain, artificial intelligence is ready to graduate to a new level.
Like most
neural networks, the one the researchers used is arranged into layers
of simple processing
nodes, each
of which is connected to several
nodes in the layers above and below.
A typical
neural network consists
of thousands
of processing «
nodes» capable
of only simple computations but densely connected to each other.
An artificial
neural network consists
of a series
of interconnected processing
nodes, a system loosely based on the human brain's
neural structure.
Inspired by brains,
neural networks are composed
of neurons, or
nodes, and synapses, the connections between
nodes.
An artificial
neural network consists
of «
nodes» that, like individual neurons, have limited information - processing power but are densely interconnected.
Neural networks are composed
of processing
nodes that, like individual neurons, are capable
of only very simple computations but are connected to each other in dense
networks.
A
neural network consists
of very simple processing units, arranged into layers, that are densely connected to the processing units — or
nodes — in the layers above and below.
It's composed
of a
network of nodes or neurones, loosely resembling the human brain and
neural system.