In Zurich, Switzerland, the research laboratory of this International Business Machines has developed a new generic preprocessing building block, which can increase the speed, so that machine learning algorithms can rapidly absorb new information. This kind of development will benefit the AI industry in a big way. According to IBM Zurich's mathematician Thomas Parnell, a general solution has been developed to grow the AI learning process ten times faster.
This is our best knowledge, we first have a general solution with 10x speed, especially for traditional linear machine learning models which are widely used for data sets, which are very large for neural networks are there. We have implemented techniques on best reference plans and have demonstrated a minimum of 10x speed
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