Abstract

Fostering economic development and revitalization in rural communities represents one of the most important challenges facing North Carolina and the nation. Join scholars, practitioners, and advocates to take stock of the current economic and political landscape, to consider what a new economic strategy for rural North Carolina could look like, and to consider the policy changes necessary to provide national leadership on rural economic renewal. Themes highlighted include rural identity, access to broadband, political organization and the local example of Wilson, North Carolina.

Abstract

Join the Pratt School of Engineering at Duke University, the Triangle Women in STEM, and the Duke Women's Center on March 22nd at 6 p.m. as we celebrate how women have thrived and made strides in the fields of STEM! This event will feature a panel of local women leaders, who will discuss how they became interested in STEM and thrived in their fields.

Washington and Beijing see each other as major competitors in cyberspace and as a result both are trying to improve cyber defense and resilience, decouple technology supply chains, and shape the rules of the road for state behavior in cyberspace. The contours of this competition are clearer than the outcomes. Both sides may end up less secure and innovative.

Film Screening:

"Mothra"
(Ishiro Honda, 1961, 101 min, Japan, Japanese w/ English subtitles, Color, 35mm)

Bioinformatics is where biology and computer science meet. In this next installment of Tell Me More, Jeff Headd (PhD '09), Vice President of Commercial Data Science at The Janssen Pharmaceutical Companies of Johnson & Johnson will talk about his career, the field of bioinformatics, and how you can get involved. Bring your questions.

Abstract:

The advent of quantum computers places many widely used cryptographic protocols at risk. In response to this threat, the field of post-quantum cryptography has emerged. The most broadly recognized post-quantum protocols are related to lattices. Beyond their resistance to quantum attacks, lattices are instrumental tools in cryptography due to their rich mathematical structure. In this talk, I will present my work on understanding the complexity of lattice problems and on constructing lattice protocols useful in practical scenarios.

Machine learning models are composed of simple primitives such as matrix multiplication and non-linear transformations. Studying and improving these primitives is critical to advancing the capabilities of ML models: for example, the advent of powerful transformations such as convolutions and self-attention led to breakthroughs in deep learning. However, existing techniques have many drawbacks, including computational inefficiency and difficulty modeling long context.