Answer:
1.T 2.f 3.t 4.f 5.f 6.f 7.t 8.t 9.f
Answer:
A neuromorphic computer is a machine comprising many simple processors / memory structures (e.g. neurons and synapses) communicating using simple messages (e.g. spikes). ... Neuromorphic computing systems excel at computing complex dynamics using a small set of computational primitives (neurons, synapses, spikes).
Explanation:
The structure of neuromorphic computers makes them much more efficient at training and running neural networks. They can run AI models at a faster speed than equivalent CPUs and GPUs while consuming less power. This is important since power consumption is already one of AI's essential challenges.
Answer:
C. consistency, aesthetics
Explanation:
Based on the descriptions given to us in the question we can deduce that the answer is C. consistency, aesthetics. This is because "consistency" is defined as something that always delivers the same results, which is what users need from the interface in order to understand it and continue using it. While "aesthetics" is defined as the visual representation of something (how something will look).
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I believe the answer is false
Answer:
b. ethernet
Explanation:
It was an ethernet that was developed in the 1970s that improved the ability to send the information over the network. It is the most widely used method to connect the computers in a LAN or the local area network, ever since 1980 when it was first introduced for commercial use. And it is being used in bulk even today.