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Abstract

Apparatus and methods for accelerating the remediation of broken transactions using parallel machine learning processing and optimization is provided. The methods may include a network access point receiving, from an application programming interface, a broken transaction. The methods may also include a network access point selecting a bionic element within a bio-mesh network for processing the broken transaction and routing the broken transaction to the bionic element. The bio-mesh network may include a plurality of bionic elements. The methods may further include the bionic element receiving the broken transaction and extracting, from the broken transaction, a set of features, transmitting the set of features to a policy bank, and, in response to the policy bank failing to identify a stored routine associated with the set of features for fixing the broken transaction, running in parallel two machine-learning algorithms to identify an optimal routine for fixing the broken transaction.

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First Claim