Michael Posa is an assistant professor in the School of Engineering and Applied Science.
(Image: Courtesy of Penn Engineering Today)
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.
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
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.
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
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.
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.
