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For Shaundra Daily, helping to create a more equitable STEM education system is an important part of her work

Emily Wenger explains that if you feed an AI its own dog images enough times, errors in those images will eventually prevent it from being able to produce images that look like dogs at all.

Cynthia Rudin says travelers should not worry too much about new security measures at airports given the rules governing their use and storage.

Emily Wenger emphasizes the risks associated with recursive self-improvement in AI models. She highlights that without careful oversight, these systems might amplify their own mistakes, leading to unpredictable and potentially harmful outcomes.

Yiran Chen discusses China's initiatives to bridge the gap in AI development and the influence of open-source AI models on the US-China competition.

AI approaches and an enormous open-source dataset could spark rapid advancements in adaptive radar systems similar to those seen in computer vision over the past two decades

Take a deep dive into the flashiest secrets of this common but little understood natural phenomenon with leading researcher Steve Cummer.

Michael Reiter won the 2024 Lasting Research Award from the ACM CODASPY

Jimmie Lenz embraced the transformative potential of blockchain technology and digital assets early on—a vision that ultimately reshaped his career trajectory and brought him to Duke University

Robert Calderbank continues to rewrite the wireless communications playbook decades after developing the space-time coding essential to today's wireless standards

Duke Engineering students and faculty work with local high school students to compete in a national robotics competition

An AI model developed by Cynthia Rudin that can quickly interpret the complicated signals generated by EEGs may help hospitals take better care of critically ill patients at risk for seizures