In the late 2000’s, scientific studies in cultural heritage saw a great advancement in macro X-ray fluorescence (XRF) imaging of paintings. These images are used to generate elemental distribution maps, which aid in identifying chemical elements and paint pig- ments as well as their locations throughout the layers of the...
In the Western Common Law tradition, legal decisions constrain and guide future cases involving the same legal issues. Although the legal academy disagrees about the specific nature of such precedential reasoning, including about the role of analogy in legal reasoning, there is ample evidence from cognitive science that analogical learning...
Task-oriented conversational systems are becoming increasingly popular, as shown by the rise of conversational recommendation systems across multiple platforms (e.g., Google Home, Alexa, and Siri) and domains (e.g., local establishments, e-commerce, books, music, and movies). However, users are still largely limited in what preferences they can express and how, as...
Human communication has become increasingly reliant on systems made and managed by large technology companies like Google, Apple, Twitter, and Meta (formerly Facebook). These systems offer people many benefits, but they also present new challenges for society. In recent years, researchers, lawmakers, and journalists have suggested that large technology companies...
The esophagus plays a crucial role in the functioning of the gastrointestinal tract and esophageal disorders are associated with reduced quality of life. Several studies have reported that there is a high worldwide prevalence of esophageal disorders. Esophageal disorders are related to the mechanical properties and function of the esophageal...
Task-oriented conversational systems are becoming increasingly popular, as shown by the rise of conversational recommendation systems across multiple platforms (e.g., Google Home, Alexa, and Siri) and domains (e.g., local establishments, e-commerce, books, music, and movies). However, users are still largely limited in what preferences they can express and how, as...
The challenges of using inadequate online recruitment systems can be addressed with
machine learning and software engineering techniques. Bi-directional personalization
reinforcement learning-based architecture with active learning can get recruiters to recommend
qualified applicants and also enable applicants to receive personalized job recommendations.
This paper focuses on how machine learning...
Visual understanding is an important area in artificial intelligence. Many researchers have proposed novel deep learning models for this, which have achieved impressive results. However, deep learning models of visual understanding do not model human-like cognition and are still far from human-level ability. Standard deep learning models do not model...
In recent years, machine learning on graphs (or networks) has gone from a niche topic with only a few active researchers worldwide, to a heavily invested field with novel use cases for dealing with relationships and/or interactions within complex systems in the natural and social sciences. Traditionally, choosing the right...
“Where Do We Come From? What Are We? Where Are We Going?” is the name for one of French artist Paul Gauguin’s most influential paintings. Unsurprisingly, these very questions have occupied the minds of countless philosophers, artists, and scholars since the beginning of human civilization. These questions become especially salient...