Summary: <br> <a href="https://twitter.com/intent/tweet?url=http%3A%2F%2Fwww.talkingbiotechpodcast.com%2F214-artificial-intelligence-and-machine-learning%2F&via=talkingbiotech" class="twitter-share-button" data-size="large">Tweet</a><br> <a href="https://i0.wp.com/www.talkingbiotechpodcast.com/wp-content/uploads/2019/11/214-musso-cover-1.png"></a><br> The genomics era has generated tremendous data sets, yet the information they reveal is limited by the human biases that search them. Are there ways to examine complex data sets for hidden patterns that can unearth new perspectives in biology? This is the role of machine learning, and the patterns form the basis of artificial intelligence that then executes new tasks. While these concepts seem difficult to fathom, Dr. Gabe Musso makes them understandable, and describes the ways they may be applied in contemporary contexts.<br> The BioSymetrics website is <a href="https://www.biosymetrics.com/">here</a><br> The BioSymetrics Twitter feed<a href="http://www.twitter.com/biosymetrics"> is here</a>.<br>
