Proposes five layers of abstraction for AI with complexity-performance and control-complexity trade-offs as a conceptual framework for organizing subfields and targeting innovation.
Unsupervised learning in probabilistic neural networks with multi-state metal-oxide memristive synapses
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A system of different layers of abstraction for artificial intelligence
Proposes five layers of abstraction for AI with complexity-performance and control-complexity trade-offs as a conceptual framework for organizing subfields and targeting innovation.