Data and Analytics, Meeting Summaries

Understanding Artificial Intelligence Applications in Bioscience and Biotechnology

In-Q-Tel, Inc.

Background – This paper reports on a November 15, 2018 Roundtable that explored opportunities and obstacles associated with applications of machine learning, deep learning, neural networks and other forms of “artificial intelligence” to bioscience, biotechnology and their application to biomedicine. The Roundtable was convened by IQT Labs, the research venture of In-Q-Tel (IQT), in collaboration with Lawrence Livermore National Laboratory (LLNL). Roundtable participants included multidisciplinary experts from industry, academia, finance and several U.S. government agencies. The discussion took place over a single day, included invited presentations from three participants, and was held on a not-for-attribution basis.

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