Building Vigilent.ai, a prototype AI application designed to process adverse event cases in the highly regulated ...
A neural-network-based controller adapts in real time to switching reference signals in piezoelectric nano-positioning stages ...
Abstract: Accurate ocean ducting environment sensing is crucial for radio communication. Conventionally, ducting profile inversion relied heavily on radar sea returns. Though feasible, this active ...
Abstract: This study presents an efficient quantitative microwave imaging method for ablation zones in microwave breast cancer treatment. To maintain an accurate estimate of complex permittivity ...
Penn Engineers have developed a new way to use AI to solve inverse partial differential equations (PDEs), a particularly ...
In the last episode of my column in Notices of the American Mathematical Society, we looked at a particle moving in an attractive central force whose strength is proportional to the inverse cube of ...
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Penn engineers use AI to solve some of science's most difficult math problems
A ripple tells you something happened, but not exactly what. That is the core problem behind a hard class of equations that ...
Despite data gaps in many countries, the burden of sickle cell disease, especially in west and central Africa, underscores ...
Artificial intelligence is rapidly advancing geotechnical engineering by enabling more accurate soil behavior modeling, streamlining site investigations, and improving design safety. Recent ...
aSydney School of Public Health, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia bThe Charles Perkins Centre, The University of Sydney, Sydney, NSW, Australia ...
In inverse problems, the data term is usually pointwise (MSE, NLL, etc.). These terms work, but have the drawback of attempting to fit the exact noise realization in the measurement. As optimization ...
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