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Artificial Intelligence Databases: Speeding Training for Machine and Deep Learning
One of Artificial Intelligence’s biggest roadblocks is data preparation and training. Collecting and cleaning data and then training software on data to recognize patterns and develop some amount of insight takes a lot of time.
New techniques to speed up the time to perform training for machine learning are being developed. One solution is to speed up processing by using computer chips that have been optimized to perform AI operations. A second solution is software that is being called an AI database that optimizes the processing of huge amounts of complex data and speeds training on machine and deep learning algorithms.
Pam Baker, author at PC Magazine, said that “right now there are a lot of efforts to speed up ML training through several different tactics. One is to separate the infrastructure from the AI researchers doing the coding, so that automated functions are handling the infrastructure and training the ML model. So, instead of spending something like three months [to train a model], you may be looking at 30 days or 30 minutes.”
Do you think availability of Create ML with a new processor ( which can develop ML model as well as run it, unlike the present neural processor in iPhone X) in new iPhone, will make huge difference in ML engineering?