All AMD Dual Boot PC SteamOS & Windows : Which Runs AAA Games Faster at 4K?

See how an all-AMD rig with a 7900 XTX hits 191 FPS in Forza, so you choose the best OS for each game. SteamOS vs Windows ...

QBTS Stock Analysis: Is D-Wave Quantum Worth $10 Billion?

They are effectively wagering that addressing specific optimization challenges today holds more value than the promise of ...
IEEE

A Size-Imbalanced Dual Population with Complementary Search for Sparse Large-Scale Multi-Modal Multi-Objective Optimization

Abstract: Multi-modal multi-objective optimization problems (MMOPs), which contain multiple distinct Pareto sets, are found in many real-world applications. Their multi-modality characteristics ...
IEEE

Deep Incomplete Multi-View Clustering via Dynamic Imputation and Triple Alignment With Dual Optimization

Abstract: In recent years, Incomplete Multi-View Clustering (IMVC) has become an important and challenging task. Although several methods have been proposed to address IMVC, they still have the ...
Frontiers

Research on pricing strategy of shared electro-thermal-hydrogen energy storage in integrated energy multi-microgrid based on hybrid game

1 College of Electrical Engineering, Shanghai University of Electric Power, Shanghai, China 2 State Grid Zhejiang Electric Power Co., Ltd., Zhoushan Power Supply Company, Zhoushan, China Against the ...
EurekAlert!

Low-carbon collaborative dual-layer optimization for energy station considering joint electricity and heat demand response

In a significant step towards achieving the "Carbon Peaking and Carbon Neutrality" goals, researchers at the Chinese Academy of Sciences, University of Chinese Academy of Sciences, Beijing Institute ...
marktechpost

This AI Paper from Apple Introduces AdEMAMix: A Novel Optimization Approach Leveraging Dual Exponential Moving Averages to Enhance Gradient Efficiency and Improve Large-Scale ...

Machine learning has made significant advancements, particularly through deep learning techniques. These advancements rely heavily on optimization algorithms to train large-scale models for various ...