Real-world optimization problems often require an external “modeling engine” that computes fitnesses or data that are then input to an objective function. These programs often have much longer ...

Keeping high-power particle accelerators at peak performance requires advanced and precise control systems. For example, the primary research machine at the U.S. Department of Energy's Thomas ...

Abstract: Offshore wind farms have emerged as a crucial component of renewable energy generation, offering higher energy production rates due to stronger and more consistent wind conditions. However, ...

Abstract: Accurately estimating battery state of charge (SOC) in electric vehicle applications (EVs) is crucial to ensure a safe and reliable vehicle operation. However, robust SOC estimation under ...

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Machine learning redesigns microscopic web sensors to be five times more flexible than nature-inspired versions, enabling detection of masses as small as trillionths of a gram.

Global AI In Predictive Toxicology Market size is expected to be worth around USD 4,964.3 Million by 2033 ...

Intelligent drones and unmanned aerial systems (UAS) are rapidly evolving from experimental prototypes into essential infrastructure across disaster response, health care delivery, agriculture, ...

This whitepaper explores the role of process analytical technology (PAT) in enhancing the efficiency of upstream biomanufacturing processes.