Data-efficient AI techniques are emerging — and that means you don’t always need large volumes of labeled data to train AI systems based on neural networks.
Across the vast range of real-world usage scenarios, there have been far more instances of augmentation of human work by smart machines than of full automation. That scenario is expected to continue for the foreseeable future.
Thomas H. Davenport and Steven M. Miller
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