Abstract: Mechanisms are provided for synthesizing a computer implemented neural network. An initially trained neural network is received and modified by introducing a new hidden layer of neurons and new connections that connect the new hidden layer of neurons to an output layer and a previous layer of neurons previously directly connected to the output layer of neurons to generate a modified neural network. The modified neural network is trained through one or more epochs of machine learning to generate modified weight values for the new connections and the new connections are pruned based on the modified weight values to remove a subset of the new connections and leaving remaining connections in the modified neural network. A merge operation is performed on the remaining connections in the modified neural network to generate a custom convolution filter and modified neural network. The modified neural network is then retrained for deployment.

Abstract: A lifecycle management method, system, and computer program product include coordinating hardware, platform and application-level health checks for framework-independent and application-specific monitoring, failure detection, and recovery, coordinating the hardware, the platform, and the application-level health check by state-specific aggregation of distributed atomic status events, and creating a recovery policy based on the state-specific aggregation of the distributed atomic status events.

Abstract: A lifecycle management method, system, and computer program product include establishing a public key infrastructure (PKI) for end-to-end encryption of control plane and data plane communications by providing encryption between arbitrary components for applicant execution where an interaction pattern is isolated, secure, and a multi-tenant environment.

Abstract: Mechanisms are provided for synthesizing a computer implemented neural network. An initially trained neural network is received and modified by introducing a new hidden layer of neurons and new connections that connect the new hidden layer of neurons to an output layer and a previous layer of neurons previously directly connected to the output layer of neurons to generate a modified neural network. The modified neural network is trained through one or more epochs of machine learning to generate modified weight values for the new connections and the new connections are pruned based on the modified weight values to remove a subset of the new connections and leaving remaining connections in the modified neural network. A merge operation is performed on the remaining connections in the modified neural network to generate a custom convolution filter and modified neural network. The modified neural network is then retrained for deployment.

Abstract: A lifecycle management method, system, and computer program product include coordinating hardware, platform and application-level health checks for framework-independent and application-specific monitoring, failure detection, and recovery, coordinating the hardware, the platform, and the application-level health check by state-specific aggregation of distributed atomic status events, and creating a recovery policy based on the state-specific aggregation of the distributed atomic status events.

Abstract: A lifecycle management method, system, and computer program product include establishing a public key infrastructure (PKI) for end-to-end encryption of control plane and data plane communications by providing encryption between arbitrary components for applicant execution where an interaction pattern is isolated, secure, and a multi-tenant environment.