Quality of AI/ML applications
Possibility of up-training, scaling the network during the training process, and continuous product improvement. Almost zero probability of ‘freezing’ as tasks get more complicated, and the network size increases.
Security and data protection
Computations can be performed at the client’s own facilities to guarantee the safety and confidentiality of data. Inherent high security and reliability.
times fewer epochs are required to train the network.
times faster is the training speed on a 7,000 image data set.
Online up-training of an already trained network and ‘forgetting’ unnecessary data.
Increasing network size during computation.
IBM SPSS Statistics 22
Competing classical neural networks (Google, IBM, Miscrosoft)