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A low-cost, eco-friendly COVID test
A low-cost, eco-friendly COVID test
César de la Fuente and a team of Penn engineers work on creative ways to create faster and cheaper testing for COVID-19. Their latest innovation incorporates speed and cost-effectiveness with eco-friendly materials.
Penn Engineering’s Michael Posa on robots in the real world
Penn Engineering’s Michael Posa on robots in the real world
With funding from the National Science Foundation’s CAREER Award, Posa is working on a new teaching method where robots interact with objects in the real world to build real-world intelligence via small data sets.
QR code for cancer cells
Researchers from Penn Engineering have created a new synthetic biology approach to uncover why some cells become resistant to anti-cancer therapies.
A novel method for squeezing molecules together could significantly reduce chemical manufacturing waste
A novel method for squeezing molecules together could significantly reduce chemical manufacturing waste
Penn engineers collaborated on an effort that would lessen the negative environmental impact of chemical production.
RNA nanoparticle therapy stops the spread of incurable bone marrow cancer
RNA nanoparticle therapy stops the spread of incurable bone marrow cancer
By creating a roadblock in cancer’s commute through the body, researchers removed a longstanding barrier in the treatment of multiple myeloma.
Why is machine learning trending in medical research but not in our doctor’s offices?
Why is machine learning trending in medical research but not in our doctor’s offices?
Penn Integrates Knowledge Professor Konrad Kording will lead Penn’s NIH-funded cohort for making advancements in the field of machine learning in biomedical research by creating the Community for Rigor, which will provide open-access resources on conducting sound science.
Lithography-free photonic chip offers speed and accuracy for AI
Lithography-free photonic chip offers speed and accuracy for AI
Penn engineers have created a novel photonic device that provides programmable on-chip information processing without lithography, offering the speed, accuracy, and flexibility for AI applications.
When robots touch the world
Penn Engineering’s Michael Posa discusses robotics in the age of artificial intelligence, the ambulatory genius of toddlers, navigating the unfamiliar and the elegance of not learning everything.
Real or fake text? We can learn to spot the difference
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?
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.