News Archive
AICoE Co-Director Kathy McCoy Spoke at Tech Forum about the Demand of AI Education
Mar 24, 2023
As an industry itself, AI is a hot one, used in industries including — but far from limited to — fashion design, energy, manufacturing, healthcare, finance and media. At the University of Delaware, where AI research and development includes 20 departments, seven colleges and 48 faculty members, the number of students in AI-related computer science majors increased from 296 in the fall of 2016 to 791 in the fall of 2022, according to Kathy McCoy, professor and chair of Computer and Information Science at UD.
AICoE Seed-Funded Faculty Gonzalo Arce Honored for Inventions
12/08/2022
UD’s Gonzalo Arce elected fellow of National Academy of Inventors. A prolific innovator, Arce is an inventor on 25 patents spanning inventions with environmental, health care and technology applications, from the laster printer industry to smart QR codes to low-dose X-ray computer tomography imaging, which is now recommended as a screening test for adults at high srisk of developing lung cancer.
AI Center of Excellence Awards First Round of Seed Funding Resources
12/14/2022
The AICoE has concluded its first round of seed funding since launching in the summer of 2022. During this Call for Proposals period, 22 letters of intent from 12 different departments across campus were submitted. 10 teams were invited to submit full proposals – and 5 were awarded funding and resources from the center.
AICOE Co-Director Sunita Chandrasekaran Leads Research on World's Fastest Exascale Supercomputer
Nov 18, 2022
Chandrasekaran and her team, which included researchers from Germany’s Helmholtz-Zentrum Dresden-Rossendorf research laboratory, or HZDR, and its Center for Advanced Systems Understanding, or CASUS are testing the capabilities of Oak Ridge Leadership Computing Facility’s Frontier supercomputer.
AICOE Affiliated Faculty Guangmo (Amo) Tong Receives NSF CAREER Award
Nov 17, 2022
Guangmo (Amo) Tong, assistant professor in the Department of Computer and Information Sciences at the University of Delaware’s College of Engineering, is using fundamental computer science research toward improving data-driven decision making. Through a better understanding of the theories that underlie algorithmic decision-making, Tong’s research can support future breakthroughs across a wide range of applications.
Harnessing the Power of the World's Fastest Computer
Oct 18, 2022
UD’s Prof. Sunita Chandrasekaran, students play key roles in exascale computing.
AICOE Affiliated Faculty Ioannis Poulakakis is Developing a Treadmill to Assess Robot Locomotion
May 05, 2022
Poulakakis, along with Department of Mechanical Engineering Professors Panos Artemiadis, Guoquan (Paul) Huang and Bert Tanner are spearheading the project, which will combine a nearly 5-foot-tall robot and a novel treadmill system that will allow researchers to test the robot’s ability to adjust to dynamic changes in the environment.
Ag-Inspired Engineering
How engineering principles support plant science. When Tropical Storm Isaias pummeled the East Coast in summer 2020, it created life-threatening tornadoes and weather conditions that ruined homes and flattened farm fields across Delaware. But in Newark, in a small field planted with different varieties of corn, one professor noticed that not all of the plants had the same damage.
Robot Research Honored
Fabrizio Sergi, an assistant professor of biomedical engineering at the University of Delaware, has received a National Science Foundation (NSF) CAREER award to support fundamental research in motor control that could in the future improve practices in neurorehabilitation for individuals with motor impairment.
Programming the Soon-To-Be World's Fastest Supercomputer
What’s it like designing an app for the world’s fastest supercomputer, set to come online in the United States in 2021? The University of Delaware’s Sunita Chandrasekaran is leading an elite international team in just that task.
Smarter Models, Smarter Choices
UD’s Vlachos and Lansford develop high confidence approach for artifical intelligence-based models. They call it artificial intelligence — not because the intelligence is somehow fake. It’s real intelligence, but it’s still made by humans. That means AI — a power tool that can add speed, efficiency, insight and accuracy to a researcher’s work — has many limitations.