Enhancing Decentralized Energy Storage Investments with Artificial Intelligence-Driven Decision Models

Chemistry, Energy Chemistry, Engineering, Environmental Engineering, Energy Engineering, Information Science, Artificial Intelligence,
decentralized energy storage   energy investments   energy efficiency   Q-learning   molecular fuzzy sets  

Academic Background As the global energy structure transitions towards renewable energy, the importance of decentralized energy storage is becoming increasingly prominent. Unlike traditional centralized energy storage systems, decentralized energy storage localizes the energy production and storage processes, reducing the risk of large-scale system...

AI-Driven Job Scheduling in Cloud Computing: A Comprehensive Review

Information Science, Computer Science, Artificial Intelligence,
AI-driven   cloud computing   job scheduling   energy efficiency   hybrid AI models   machine learning   resource allocation  

Academic Background With the rapid development of cloud computing technology, the demand for efficient job scheduling in dynamic and heterogeneous cloud environments has grown significantly. Traditional scheduling algorithms perform well in simple systems but are no longer sufficient for modern, complex cloud infrastructures. Issues such as resourc...

Efficient Scaling of Large Language Models with Mixture of Experts and 3D Analog In-Memory Computing

Information Science, Electronic Information, Computer Science, Artificial Intelligence,
large language models   mixture of experts   3D in-memory computing   energy efficiency   hardware acceleration  

Efficient Scaling of Large Language Models with Mixture of Experts and 3D Analog In-Memory Computing Academic Background In recent years, large language models (LLMs) have demonstrated remarkable capabilities in natural language processing, text generation, and other fields. However, as the scale of these models continues to grow, the costs of trai...

Three-Dimensional Transistors with Two-Dimensional Semiconductors for Future CMOS Scaling

Chemistry, Nanoscience, Engineering, Electrical Engineering, Materials Science, Information Science, Semiconductors and Information Devices,
2D semiconductors   3D transistors   CMOS technology   quantum transport simulations   energy efficiency   nanoscale scaling   transition metal dichalcogenides  

Academic Paper Report: Three-Dimensional Transistors with Two-Dimensional Semiconductors for Future CMOS Scaling Introduction In recent years, as silicon-based complementary metal-oxide-semiconductor (CMOS) technology approaches its physical limits, the continued miniaturization and performance optimization of next-generation microelectronics face ...