Current AGI research focuses heavily on scaling these foundation models and enhancing specific agent capabilities, such as complex reasoning and coding. However, despite this progress, even the most ...

For years, CSL Behring has consistently relied on dynamic process simulation linked to live production data. The result: more robust operations, faster ramp-ups, rolling maintenance instead of major ...

Abstract: This paper proposes a data-driven self-triggered model predictive control (MPC) scheme for constrained linear time-invariant (LTI) systems that are unknown and affected by bounded process ...

ALIGNING THE CHILDHOOD VACCINE SCHEDULE WITH INTERNATIONAL BEST PRACTICES: Today, President Donald J. Trump signed a Presidential Memorandum to begin the process to align U.S. core childhood vaccine ...

Abstract: The radial basis function neural network (RBFNN) is a learning model with better generalization ability, which attracts much attention in nonlinear system identification. Compared with the ...

Artificial intelligence (AI) is no longer a research concept — it is the economic engine driving infrastructure investment worldwide. The growth of AI data centers, powered by high-performance CPUs, ...

A novel parallel computing framework for chemical process simulation has been proposed by researchers from the East China University of Science and Technology and the University of Sheffield. This ...

Producing modern semiconductor devices is an immensely challenging process. Successful execution entails advanced process nodes, novel device architectures, new materials, and many fabrication steps.