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In microgrids, energy management systems (EMS) have been considered essential systems to optimize energy scheduling, control and operation for reliable power systems. Conventional EMS researches have ...

Opinion: Lidiya Mishchenko and Pooya Shoghi explain how to bridge a gap preventing successful patent claims to protect new ...

The system is structured around a client-server architecture designed to provide scalability, remote accessibility, and ...

By enabling deep learning to run at the speed of light, this chip could allow edge devices to perform real-time data analysis ...

The 10 hottest data science and machine learning tools include MLflow 3.0, PyTorch, Snowflake Data Science Agent and ...

Research has shown that large language models (LLMs) tend to overemphasize information at the beginning and end of a document ...

Here are my personal paper reading notes (including cloud computing, resource management, systems, machine learning, deep learning, and other interesting stuffs). machine-learning research ...

Projects that collect atomistic ML resources or foster communication within community. 🔗 ACE / GRACE support - Support forum for the Atomic Cluster Expansion (ACE) and extensions. 🔗 AI for Science ...

Without the customization, though, which of the 15 machines is the best to race with in Fast Fusion? Here's a ranking of the top ones to drive: Top Machines to Drive in Fast Fusion.

To address this, distributed machine learning (ML) systems play a crucial role. Using a multi-tier architecture, these systems analyze real-time data to predict energy demands and manage power ...