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Loss Landscapes and Generalization in Neural Networks: Theory and Applications
(Johns Hopkins University, 2020-01-21)
In the last decade or so, deep learning has revolutionized entire domains of machine learning. Neural networks have helped achieve significant improvements in computer vision, machine translation, speech recognition, etc. ...
Robust Adaptive Strategies for Myographic Prosthesis Movement Decoding
(Johns Hopkins University, 2020-01-22)
Improving the condition-tolerance, stability, response time, and dexterity of neural prosthesis control strategies are major clinical goals to aid amputees in achieving natural restorative upper-limb function. Currently, ...
Performance Evaluation of a Simple Deep Neural Network System for Auditory Attention Decoding
(Johns Hopkins University, 2020-05-08)
Recent years have seen an increase in the variety of methods used to perform Auditory Attention Decoding (AAD). Current high performing methods for auditory attention decoding rely on large training sets and lack comparable ...
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, ...
Bridging the ML-Human Gap in Scientific Data Navigation
(Johns Hopkins University, 2020-08-28)
Off-the-shelf ML libraries combined with accessible scientific computing infrastructures continue to find new avenues for automation and augmentation of researcher work in the lab. Widely applicable pre-trained neural ...
DEEP LEARNING FRAMEWORK FOR CHARACTER RECOGNITION IN LOW QUALITY LICENSE PLATE IMAGES
(Johns Hopkins University, 2020-10-27)
Commercially available Automatic License Plate Recognition (ALPR) systems have limited
ability to provide character recognition on low-quality license plate images [20]. Improving this
ability would be beneficial for tasks ...
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 ...
Overcoming Data Challenges in Machine Translation
(Johns Hopkins University, 2021-07-12)
Data-driven machine translation paradigms—which use machine learning to create translation models that can automatically translate from one language to another—have the potential to enable seamless communication across ...