Search
Now showing items 1-10 of 11
Ethical Considerations of Chatbot Use for Mental Health Support
(Johns Hopkins University, 2020-08-18)
The promise of artificial intelligence thus far is greater than its actual application in healthcare, though it has been developed to be used effectively in this field. One application of technology in this setting is ...
Malicious Network Traffic Detection via Deep Learning: An Information Theoretic View
(Johns Hopkins University, 2020-08-18)
The attention that deep learning has garnered from the academic community and industry continues to grow year over year, and it has been said that we are in a new golden age of artificial intelligence research. However, ...
IDENTIFYING APPLICATIONS OF ARTIFICIAL INTELLIGENCE TO SUPPORT PRE-AWARD ACTIVITIES IN UNIVERSITY RESEARCH ADMINISTRATION
(Johns Hopkins University, 2020-04-07)
A thriving research enterprise depends on investigators securing sponsored program funding. In the university setting, research administrators support investigators with resources to locate awards and write compelling ...
TOWARD ASSURANCE AND TRUST FOR THE INTERNET OF THINGS
(Johns Hopkins University, 2021-04-19)
Kevin Ashton first used the term Internet of Things (IoT) in 1999 to describe a system in which objects in the physical world could be connected to the Internet by sensors. Since the inception of the term, the total number ...
Advanced Risk Stratification and Prediction of Venous Thromboembolism in Critically Ill Patients
(Johns Hopkins University, 2021-05-11)
Venous Thromboembolism (VTE) is a disease responsible for more than 100,000 deaths a year in the U.S. Thru early detection, this mortality rate can be decreased as the early administration of therapeutic heparin can prevent ...
Continual Learning with Sketched Structural Regularization
(Johns Hopkins University, 2021-05-04)
Preventing catastrophic forgetting while continually learning new tasks is an essential problem in continual learning. Structural regularization (SR) refers to a family of algorithms that mitigate catastrophic forgetting ...
Effective Visual Robot Learning: Reduce, Reuse, Recycle
(Johns Hopkins University, 2021-11-12)
Robots can learn to do useful tasks, and they can reuse those skills to complete new tasks without additional training. To show how, this thesis tackles approaches to creating an effective level of adaptability, skillset, ...
UTILIZING SEQUENTIAL LEARNING FOR MEDICAL IMAGE CLASSIFICATION AND DISEASE DIAGNOSIS
(Johns Hopkins University, 2022-05-06)
The aim of this work is to develop a neural network training framework for continual acquisition of small amounts of medical imaging data and create heuristics to assess training in the absence of a validation or test set. ...
United States Artificial Intelligence Policy: Building Toward a Sixth-Generation Military and Lethal Autonomous Weapon Systems
(Johns Hopkins University, 2021-12-23)
The United States has entered a new period of great power competition. Rising powers in Russia and China form a complex triad at the head of the global power structure. Recent
technological advancements in artificial ...
Through the Lens of HAL 9000: Using Stanley Kubrick’s 2001: A Space Odyssey as a Modeling Tool to Create a Precursive Sapient Quotient to Foster Humanity’s Moral Obligation to Evolve into Machines
(Johns Hopkins University, 2022-08-05)
My research explores the enduring legacy of Stanley Kubrick’s 2001: A Space Odyssey, and its predictive power on how it informs the public’s imagination about artificial intelligence (AI), societal fears of quantum changes ...