Artificial Intelligence and Machine Learning

Researching the models, methods, uses, and impact of intelligent systems design for processing data and information

Researchers Working in this Area

Related Research Projects

Collaborative Research: Accelerating Synthetic Biology Discovery & Exploration through Knowledge Integration

Time frame
2019-Present
Investigator
J. Stephen Downie
Total funding to date
$211,699.00
Funding agency
National Science Foundation

The scientific challenge for this project is to accelerate discovery and exploration of the synthetic biology design space. In particular, many parts used in synthetic biology come from or are initially tested in a simple bacteria, E. coli, but many potential applications in energy, agriculture, materials, and health require either different bacteria or higher level organisms (yeast for…

synthetic biology

Harnessing Artificial Intelligence for Cartel Smuggling Study

Time frame
2019-2020
Investigator
Jingrui He
Total funding to date
$78,917.00
Funding agency
Arizona State University and the Department of Homeland Security

This joint effort with Arizona State University’s CAOE team aims to create a suite of effective and efficient AI tools for analyzing cartel smuggling activities, building upon the team’s expertise in machine learning, data mining, and visual analytics.

U.S. Coast Guard

Identifying False HPV-Vaccine Information and Modeling Its Impact on Risk Perceptions

Time frame
2020-Present
Investigator
Jessie Chin
Total funding to date
$389,810.00
Funding agency
National Institutes of Health

Human papillomavirus (HPV) is the most common sexually transmitted infection in the U.S., with over 34,000 new HPV-related cancers diagnosed annually, according to the Centers for Disease Control and Prevention. An HPV vaccine, which was approved by the Food and Drug Administration (FDA) in 2006, is recommended as part of routine vaccinations for school-aged children. However, the vaccine's…

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