Applications for the National Science Foundation-funded research program for undergraduates are due Feb. 28
The Westgate Building has been home to the College of Information Sciences and Technology since 2003.
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Summer program to offer research experience on machine learning in cybersecurity
February 05, 2021
UNIVERSITY PARK, Pa. Undergraduate students interested in research surrounding the topic of machine learning in cybersecurity are invited to apply for the 2021 NSF Research Experiences for Undergraduates (REU) Site Program, funded by the National Science Foundation.
Hosted virtually this summer by the Penn State College of Information Sciences and Technology, the 10-week program will pair students from institutions around the country with a College of IST faculty mentor. Guided by their mentor, each REU student will focus their research on a selected topic, such as detection and mitigation of misinformation on social media; human perception of machine-gen
AI-defined COVID-19 testing strategy could lead to fewer infections
When the novel coronavirus pandemic spread across the globe, governments and institutions worldwide faced hard decisions about who to test for the virus and when with limited testing supplies.
Now, a new algorithm developed by researchers at Penn State’s College of Information Sciences and Technology could help leaders make better informed decisions on how many symptomatic and asymptomatic individuals to test with rationed daily tests, and at what stage of the pandemic. The model’s simulated testing strategies resulted in approximately 40% fewer infections.
“Our goal was to find out how do you distribute an allocation of tests that you have every day,” said Amulya Yadav, PNC Technologies Career Development Assistant Professor at the College of IST. “How do you distribute them among symptomatic and asymptomatic people? And how should this allocation change over time?”
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Researchers test detection methods for AI-generated content
Is the news you’re reading online generated by a human or by artificial intelligence? College of Information Sciences and Technology researchers analyzed eight different state-of-the-art natural language generators (NLG) to identify whether each had a distinct writing style that could be discovered by machine classifiers in an effort to expose security threats they may introduce.
Image: Adobe Stock: Rawpixel Ltd.
Artificial intelligence generators can craft text that mimics a human author, improving the user experience in platforms such as medical chatbots, online customer service and virtual psychotherapy sessions.
Often times, these realistic texts are difficult to distinguish from those generated by humans. But as these techniques become more sophisticated and prevalent, so do the opportunities for fraudulent use.
AI-defined COVID-19 testing strategy could lead to fewer infections
A new algorithm developed by researchers at the College of Information Sciences and Technology could help leaders of governments and organizations make better informed decisions on how many symptomatic and asymptomatic individuals to test for COVID-19 with a limited supply of daily tests, and at what stage of the pandemic.
Image: Adobe Stock: Giovanni Cancemi
AI-defined COVID-19 testing strategy could lead to fewer infections
January 21, 2021
UNIVERSITY PARK, Pa. When the novel coronavirus pandemic spread across the globe, governments and institutions worldwide faced hard decisions about who to test for the virus and when with limited testing supplies.
New COVID-19 testing strategy could lead to fewer infections knowridge.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from knowridge.com Daily Mail and Mail on Sunday newspapers.