What is the true potential impact of artificial intelligence on cybersecurity?
Greater scale and symbolic models are necessary before AI and machine learning can meet big challenges like breaking the best encryption algorithms.
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Greater scale and symbolic models are necessary before AI and machine learning can meet big challenges like breaking the best encryption algorithms.
Greater scale and symbolic models are necessary before AI and machine learning can meet big challenges like breaking the best encryption algorithms.
Today, enormous volumes of data are generated by a growing number of sensors and smart IoT devices, and ever-increasing processing power is moving the core of calculations and services from the cloud to the network's edge. Advances in Artificial Intelligence (AI) have opened up a plethora of new options for resolving security problems in the context of Edge Computing, where security and privacy have become key considerations.
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