The Vandal Theory
Avsnitt

Episode 12.2: Building AI infrastructure for ambitious research

Dela

How has AI helped you solve a problem?

Artificial intelligence is reshaping how people work, learn and conduct research. At University of Idaho, researchers can use AI and advanced computing resources while keeping greater control over their data, costs and infrastructure. Today, we’re talking with Luke Sheneman (go.uidaho.edu/47dTn5g), director of research computing and data services in U of I’s Institute for Interdisciplinary Data Sciences (go.uidaho.edu/4yxig7Y), about the tools behind projects ranging from the Deep Soil Ecotron to wildlife research — and what becomes possible when researchers have powerful computing resources at their fingertips.

Visit our website go.uidaho.edu/vandaltheory. Email us at vandaltheory@uidaho.edu. Learn about Idaho’s premier research university, University of Idaho, at uidaho.edu. 

Music  “Young Republicans” by Steve Combs (go.uidaho.edu/3U3MNHs) via freemusicarchive.org, not modified (go.uidaho.edu/3Q6LeY5).  “Melontronica” by Matthew Cropper (go.uidaho.edu/4hCdXSZ) via Amphibious Zoo.

Chapters (0:00) How has AI helped you solve a problem? (3:22) Getting to know Luke Sheneman (5:17) What do we mean by artificial intelligence? (6:43) What makes U of I’s AI approach unique? (10:31) Expanding research with the Lemhi supercomputer (12:54) Supporting research across disciplines (15:04) Streamlining research administration with AI (17:02) Studying wildlife with Wild Marker (19:54) Weighing AI’s limitations and benefits (25:02) What should listeners take away? (25:59) Final thoughts

Podden och tillhörande omslagsbild på den här sidan tillhör University of Idaho. Innehållet i podden är skapat av University of Idaho och inte av, eller tillsammans med, Poddtoppen.