Computer science, Information science, Artificial intelligence
Description
In recent years, social media have dramatically improved the dissemination speed of information, which also includes health misinformation. To date, most of the computational approaches to addressing this problem have focused on detecting and flag...
Computer engineering, Artificial intelligence, Automobiles--Design and construction
Description
The need for autonomous vehicles that do not operate on highways and can move off-road is increasing. While there have been significant advancements in autonomous passenger vehicles in the last couple of years, autonomous off-road vehicles have no...
Computer vision and deep learning are rapidly evolving fields being implemented for a variety of different applications, including object detection and tracking for autonomous vehicles. While today's technology is not at the level of full automati...
The availability of large amounts of labeled training data is a major contributing factor (and a bottleneck) to the recent progress in the field of Deep Learning. However, collecting and labeling data is a time consuming and expensive process. Oft...
Deep reinforcement learning (DRL) has suggested many effective solutions to complex problems. Despite the impressive achievements of DRL, we have limited insights into why DRL is effective. DRL is also known as a black-box model with high complexi...
