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This is a significant advantage to brute-force machine learning algorithms which often requires months to “train” and ongoing maintenance as new data sets, or utterances, are added. Neural networks are almost as old as symbolic AI, but they were largely dismissed because they were inefficient and required compute resources that weren’t available at the time.… Continue reading Are symbolic AI approaches still relevant after the recent successes of deep learning?
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