Podcasts and Videos
User expectations of modern web applications continue to outpace the productivity of the software engineering process. The semantic web application stack of RDF, SPARQL, and related technologies, provides many benefits to users and developers, at the expense of additional complexity that impedes the engineering process. I will present a new software architecture that attempts to maximize the user-visible benefits of these technologies while minimizing their impact on developer productivity. I will also discuss an implementation of the architecture using off-the-shelf tools, such as TypeScript, GraphQL, and Scala, in conjunction with semantic web technologies. The result serves as a vehicle for delivering bespoke web applications for sponsored research projects, incorporating research into symbolic artificial intelligence, and helping students learn modern software engineering.
Recent years have seen a rising interest in combining the rich structured information contained in knowledge graphs with applications involving personalization. This talk will discuss insights into the emerging topic of "personal knowledge graphs", including key research challenges identified in literature and examples of proposed personal knowledge graph systems (especially in the domain of personalized health).
A health-care data expert (IDEA Associate Director Kristin Bennett) and a biomedical engineer discuss how data analysis can be used to tackle today’s biggest health challenges.
An artificial intelligence expert (IDEA Director Jim Hendler) and an accomplished musician consider how humans could and should responsibly deploy new technologies.
In this episode, Dr. Bennett takes us back to school and teaches us a few things about machine learning, artificial intelligence, data analytics, and visualization. Along the way, we discuss how to incorporate teaching of these topics in colleges and high schools and some of the moral issues that may arise with artificial intelligence.
‘Dr. Kristin Bennett is the Associate Director of the Institute for Data Exploration and Application and a Professor in the Mathematical Sciences and Computer Science Departments at Rensselaer Polytechnic Institute. Her research focuses on extracting information from data using novel predictive or descriptive mathematical models and data visualizations … to support decision making … in science, engineering, public health and business. She has 25 years of experience and over 100 publications in these areas.’