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AI-defined COVID-19 testing strategy could lead to fewer infections


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?” ....

Lyu Liang , Amulya Yadav , Penn State College Of Information Sciences , Technologies Career Development Assistant Professor , International Conference On Autonomous Agents , Penn State , Information Sciences , Career Development Assistant Professor , Partially Observable Markov Decision Processes , International Conference , Autonomous Agents , Multiagent Systems , யூ லியாங் , அமுல்யா யாதவ் , பென் நிலை கல்லூரி ஆஃப் தகவல் அறிவியல் , தொழில்நுட்பங்கள் தொழில் வளர்ச்சி உதவியாளர் ப்ரொஃபெஸர் , பென் நிலை , தகவல் அறிவியல் , தொழில் வளர்ச்சி உதவியாளர் ப்ரொஃபெஸர் , சர்வதேச மாநாடு ,

AAAI Names Indian American Computer Scientist Ashok Goel of Georgia Tech Among New Fellows


Prof. Ashok Goel of Georgia Tech was named among 10 individuals elevated to Fellow status by the Association for the Advancement of Artificial Intelligence.
“AAAI is thrilled to announce the election of ten new Fellows for their lasting contributions to the breadth of #AI, including Planning, RL, Robotics, NLP, CBR and Vision The new fellows will be inducted (astrally) and felicitated (with secret hand-shake etc.) during #AAAI2021,” the association said in a tweet.
Goel is a professor of computer science and human-centered computing in the School of Interactive Computing at Georgia Institute of Technology in Atlanta, his bio notes.
The Indian American professor received his Ph.D. in computer and information science from Ohio State University in 1989 and joined the Georgia Tech faculty the same year. At Georgia Tech, he has been a co-director of the Center for Biologically Inspired Design (2008-18) and the director of the Ph.D. program in  ....

United States , Georgia Institute Of Technology , Jill Watson , M Helmsb Wiltgen , David Joyner , Ashok Goel , Design Intelligence Laboratory , Ohio State University , Conference Of The Cognitive Science Society , Association For The Advancement Of Artificial Intelligence , School Of Interactive Computing , Association For Advancement , Sixteenth International Conference On Autonomous Agents , University System Of Georgia Faculty Hall , Georgia Tech , Vision The , Interactive Computing , Georgia Institute , Indian American , Biologically Inspired Design , Human Centered Computing , Intelligence Laboratory , Century Universities , Beyond Question , Best Paper Award , Visionary Paper Award ,

AI-defined COVID-19 testing strategy could lead to fewer infections


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. ....

Lyu Liang , Amulya Yadav , Penn State College Of Information Sciences , Technologies Career Development Assistant Professor , International Conference On Autonomous Agents , Penn State , Information Sciences , Career Development Assistant Professor , Partially Observable Markov Decision Processes , International Conference , Autonomous Agents , Multiagent Systems , யூ லியாங் , அமுல்யா யாதவ் , பென் நிலை கல்லூரி ஆஃப் தகவல் அறிவியல் , தொழில்நுட்பங்கள் தொழில் வளர்ச்சி உதவியாளர் ப்ரொஃபெஸர் , பென் நிலை , தகவல் அறிவியல் , தொழில் வளர்ச்சி உதவியாளர் ப்ரொஃபெஸர் , சர்வதேச மாநாடு ,

AI-defined COVID-19 testing strategy could lead to fewer infections


Date Time
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
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 resulte ....

Lyu Liang , Amulya Yadav , Penn State College Of Information Sciences , Technologies Career Development Assistant Professor , International Conference On Autonomous Agents , Penn State , Information Sciences , Career Development Assistant Professor , Partially Observable Markov Decision Processes , International Conference , Autonomous Agents , Multiagent Systems , யூ லியாங் , அமுல்யா யாதவ் , பென் நிலை கல்லூரி ஆஃப் தகவல் அறிவியல் , தொழில்நுட்பங்கள் தொழில் வளர்ச்சி உதவியாளர் ப்ரொஃபெஸர் , பென் நிலை , தகவல் அறிவியல் , தொழில் வளர்ச்சி உதவியாளர் ப்ரொஃபெஸர் , சர்வதேச மாநாடு ,