Stochastic modeling has become an indispensable tool in understanding and forecasting the spread of infectious diseases under real-world uncertainties. Unlike deterministic frameworks that assume ...

Traditional models for analyzing microbial communities often rely on average microbial abundance over time. While these models can predict temporal changes effectively, they often fail to capture the ...

Brain inspired AI model employs cognitive maps and stochastic calculations for energy efficient problem solving.

Several vendors are rolling out next-generation inspection systems and software that locates problematic defects in chips caused by processes in extreme ultraviolet (EUV) lithography. Each defect ...