Intel's New Processors: A Machine-learning Perspective - insideBIGDATA

Machine learning and its younger sibling deep learning are continuing their acceleration in terms of increasing the value of enterprise data assets across a variety of problem domains. A recent talk by Dr. Amitai Armon, Chief Data-Scientist of Intel's Advanced Analytics department, at the O'reilly Artificial Intelligence conference, New-York, September 27 2016, focused on the usage of Intel's new server processors for various machine learning tasks as well as considerations in choosing and matching processors for specific machine learning tasks. Intel formed a machine learning task force with a mission to determine how the company can advance the machine learning domain. The vast majority of machine learning code today runs on Intel servers but the company wanted to do even better for the present and the future use cases. We need to understand the needs for these domains and prepare processors for those needs," said Dr. Amitai Armon. "This is not a simple challenge because in machine learning you have many algorithms, many data types and the field is constantly evolving.