In this Intel Chip Chat audio podcast with Allyson Klein: Dr. Kyle Ambert, Senior Deep Learning Data Scientist at Intel Nervana, joins us to talk about enabling artificial intelligence solutions in the health and life sciences (HLS). Dr. Ambert’s team uses machine learning and deep learning methods to solve real-world analytical problems, developing new prototypes and optimization strategies for deep learning networks for text analytics, natural language processing, and image recognition. In this interview, Dr. Ambert talks about his work to deliver AI solutions for doctors and clinicians, highlights important differences between deep learning and traditional machine learning methods, and discusses Intel’s ecosystem of tools and technologies that are enabling AI.

For more information on Dr. Ambert’s work, please visit
intelnervana.com

Tags: AI, AI Solutions, Allyson Klein, Artificial Intelligence Solutions, Audio Podcast, Chip Chat, deep learning, Deep Learning Data, Dr. Kyle Ambert, Health and Life Sciences, HLS, image recognition, Intel, Intel Nervana, machine learning, natural language processing
 
Posted in: Artificial Intelligence, Audio Podcast, Intel, Intel Chip Chat