Optimizing the way in which machine learning algorithms are implemented in hardware will be a major differentiator for SoCs, especially for edge devices.
Exchange frameworks are emerging to make it easier for neural-network developers to swap between development environments.
Using specialised processors to implement key AI computation tasks such as CNNs.
Using deep learning techniques and convolutional neural networks to bring facial recognition capabilities to embedded systems.
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