Abstract: In real-world scenarios, decision-makers are often faced with the problem of optimizing several conflicting objectives governed by non-linear functions. In such cases, non-linear ...

Abstract: This paper presents a robust, real-time linear programming (LP) energy management system (EMS) for gridconnected photovoltaic (PV) microgrids with battery storage and flexible loads. The ...

Oracle-based quantum algorithms cannot use deep loops because quantum states exist only as mathematical amplitudes in Hilbert space with no physical substrate. Criticall ...

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Researchers from Stanford, Nvidia, and Together AI have developed a new technique that can discover new solutions to very complex problems. For example, they managed to optimize a critical GPU kernel ...

SINGAPORE—ST Engineering has unveiled a family of small soldier-class drones for use in urban combat. The three vehicles include the Artos system, capable of carrying a 500-g (1.1-lb.) payload, the ...

Modern semiconductor chip design faces growing complexity due to numerous timing scenarios driven by varying operating conditions and physical effects. This complexity is especially pronounced in ...

Ising machines demonstrate significant potential to tackle computationally complex challenges, including combinatorial optimization problems related to logistics, manufacturing, finance, and AI. The ...

In the School of Engineering's Autonomous Systems course, engineering students challenged their technical skills through designing fully autonomous robots. As part of the course's final project, ...

What if the key to unlocking the full potential of artificial intelligence lies not in the models themselves, but in how we frame the information they process? Imagine trying to summarize a dense, 500 ...