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Artificial Intelligence and Machine Learning

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.

Nov 23, 2019 by Dr. Kevin Folta in Talking Biotech

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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. The BioSymetrics website is here The BioSymetrics Twitter feed is here. # COLABRA Talking Biotech is brought to you by Colabra – an R&D platform that brings your lab’s world-changing research together in one shared space. Learn more at https://www.colabra.app/ # TALKING BIOTECH Twitter: https://twitter.com/talkingbiotech Website: https://www.colabra.app/podcasts/talking-biotech/ Instagram: https://www.instagram.com/colabrahq The Talking Biotech podcast is distinct from Dr. Kevin Folta's teaching and research roles at the University of Florida. The views expressed on the show are those of Dr. Folta and his guests, and do not reflect the opinions of the university or Colabra.

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