A new technical paper titled “Analog optical computer for AI inference and combinatorial optimization” was published by ...

The constant scaling of AI applications and other digital technologies across industries is beginning to tax the energy grid ...

Forget quantum — neuromorphic AI could be the real disruptor, reshaping everything from medicine to warfare while cutting ...

Building an integrated "source-grid-load-storage" system (hereinafter referred to as the integrated system) in areas rich in ...

A line of engineering research seeks to develop computers that can tackle a class of challenges called combinatorial optimization problems. These are common in real-world applications such as ...

US quantum computing company IonQ and the Oak Ridge National Laboratory report having demonstrated how the power of quantum can support grid operators to meet emerging challenges. The demonstration ...

The HVAC system of public buildings, as a thermostatically controlled load, accounting for a relatively significant proportion of building energy consumption. Therefore, it is necessary to optimize ...

Each algorithm and line search combination is tested on 12 different optimization problems. Plots for each problem will be saved in the figures directory. Data for each problem will be saved in the ...

Plastic waste has woven itself into the fabric of our oceans, threatening marine life, disrupting ecosystems, and impacting global economies. For decades, attempts to solve this crisis struggled with ...

Your code runs without any errors Leave your name, student ID, ETH email address and URL link to demo video in the my-info.json file. April 9: Dear student, we find a minor typo in the README.md. The ...