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Energy system optimization model developed for pathways to net-zero greenhouse gas emissions for Southeast Asia
Could Southeast Asia become carbon neutral by 2050, even as energy demand increases? The region is growing quickly and still ...
In the pursuit of carbon neutrality, the world is undergoing a third energy revolution driven by renewable energy sources and supported by various types of batteries. Hydrogen energy, as a zero-carbon ...
Optical computing has emerged as a powerful approach for high-speed and energy-efficient information processing. Diffractive ...
Bayesian optimization (BO) can help determine the optimal deposition conditions for high-performance passivation films in solar cells. However, simple implementations tend to suggest excessively thick ...
The AI industry stands at an inflection point. While the previous era pursued larger models—GPT-3's 175 billion parameters to PaLM's 540 billion—focus has shifted toward efficiency and economic ...
The Optimization, Data, and Decision Science (ODDS) Lab, established in late 2023 under the leadership of Dr. Ilgin Acar, represents a dynamic hub for cutting-edge research at the intersection of ...
In this course, you’ll learn theoretical foundations of optimization methods used for training deep machine learning models. Why does gradient descent work? Specifically, what can we guarantee about ...
2024 - Bristol-Meyers Squibb was awarded for “PMI Prediction and Bayesian Optimization: Two Tools with One Goal Towards the Development of ‘Greener-by-Design’ Synthesis of APIs” Read more about BMS’s ...
The integration of bioinformatics, machine learning and multi-omics has transformed soil science, providing powerful tools to ...
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