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.
the answer to the question is a Embedded ( I just learned this like a month ago so im pretty sure it right :))
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Answer:
abacus . Mesopotamia or China, possibly several thousand years BCE. ...
binary math . Pingala, India, 3rd century BCE. ...
punched card . Basile Bouchon, France, 1725. ...
Explanation:
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