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From Penn Engineering Today
Real or fake text? We can learn to spot the difference
Penn computer scientists prove that people can be trained to tell the difference between AI-generated and human-written text. Their new paper debuts the results of the largest-ever human study on AI detection.
What can network theory offer public health?
Penn Engineering’s Shirin Saeedi Bidokhti and Saswati Sarkar have produced a suite of studies that apply techniques from network and information theory to pandemic control and prevention.
Engineered magic: Wooden seed carriers mimic the behavior of self-burying seed
Researchers from Penn Engineering have developed a seed carrier, fashioned from wood veneer, that could enable aerial seeding of difficult-to-access areas, and could be used for a variety of seeds or fertilizers.
U.S. census data vulnerable to attack without enhanced privacy measures
A new PNAS study shows that statistics released by the U.S. Census Bureau can be reverse engineered to reveal protected information about individual respondents.
Targeted prenatal therapy addresses long-standing gap in health equity
Penn engineers have developed a successful delivery system of mRNA to placental cells to treat preeclampsia at its root.
RNA lipid nanoparticle engineering stops liver fibrosis in its tracks
A successful lipid nanoparticles drug delivery system targets notoriously hard-to-target activated fibroblasts in the liver.
OCTOPUS, an optimized device for growing mini-organs in a dish
With OCTOPUS, Dan Huh’s team expands organoid research with a platform superior to conventional gel droplets, allowing researchers to replicate biological systems outside of the body.
Soft robots gain new strength
Penn Engineers have developed a clutch 63 times stronger than current electroadhesive clutches, making soft robots stronger and safer and making virtual reality gloves feel more real.
Tiny swimming robots can restructure materials on a microscopic level
Penn Engineers are working to make controlling microscopic processes, such as transporting drugs to tumors for precise therapies, faster, safer, and more reliable through the use of microrobots.
Algorithm for 2D-to-3D engineering integrates art, nature, and science
Penn Engineering’s Shu Yang and researchers have developed a universal algorithm that allows 2D materials to remain lightweight and durable when converted to 3D structures.