Neuromorphic Computing
Computing architectures that use brain-inspired event-driven neurons, synapses and memory-compute integration.
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Reinforcement Learning
Machine learning for sequential decisions in which an agent improves behaviour from rewards generated through interaction.
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Artificial Neural Networks
Layered computational models that learn distributed representations by adjusting weighted connections from data.
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