Airline Security Through Artificial Intelligence: How the Transportation Security Administration Can Use Machine Learning to Improve the Electronic Baggage Screening Program
The Transportation Security Administration screens all checked baggage at airports. The authors of this Perspective describe the current state, challenges, and outlook of artificial intelligence and machine learning to improve this screening process.
Mar 22, 2022
Modelling the Impact of Social Distancing and Targeted Vaccination on the Spread of COVID-19 Through a Real City-Scale Contact Network
We use mobile device data to construct empirical interpersonal physical contact networks in the city of Portland, Oregon, both before and after social distancing measures were enacted during the COVID-19 pandemic.
Dec 15, 2021
In this Perspective, the authors used a network model to illustrate five different vaccination strategies for coronavirus disease 2019, showing that vaccinating the most-active people might be the best way to protect the vulnerable in the pandemic.
Feb 15, 2021
Operationally Relevant Artificial Training for Machine Learning: Improving the Performance of Automated Target Recognition Systems
The authors explore whether an object-detection model trained on artificial images could evaluate real images as an automated target recognition system, an important advancement in artificial intelligence and machine learning for the U.S military.
Nov 18, 2020
Explores deep generative modeling in network science towards informing key public policy questions.
Sep 30, 2020
If its current artificial intelligence plan is successful, China will achieve an advantage over the United States and its allies. That has significant strategic implications that the United States must address.
Jul 8, 2020