Algorithms that respond to real-time feedback and can learn to respond to experimental irregularities can help deal with the complexities of biological manufacturing. That’s the subject of a talk due ...

A new technique able to forecast how changes to parameters will impact biomanufacturing processes could revolutionize drug production, save manufacturers time and money, and help increase access to ...

We were unable to process your request. Please try again later. If you continue to have this issue please contact [email protected]. Automated insulin delivery can be controlled by a neural ...

New algorithm enables cost-optimized operation of residential heat pumps Researchers in Austria have developed a new predictive control algorithm that can reportedly improve comfort levels in houses ...

Distillation columns are extensively deployed in the chemical process industries when there is a need for separation of components that have different boiling points. Typically, a mixture of ...

Imperial College London's Department of Infectious Disease Epidemiology reports a model-predictive control approach that times non-pharmaceutical interventions from noisy real-time case data, ...

To improve the dynamic response performance of a high-flow electro-hydraulic servo system, scholars have conducted considerable research on the synchronous and time-sharing controls of multiple valves ...

Introduction You are tasked to lead a 40-truck convoy resupplying combat troops at the front during large-scale combat ...

Lack of transparency and biased training data mean these tools are not fit for purpose. If we can’t fix them, we should ditch them. Yeshimabeit Milner was in high school the first time she saw kids ...