The Wireless Research Center at the American University in Cairo has been contributing to advancing QC applications, ...
Level, Multi-Path Offloading for LLM Pre-training to Break the GPU Memory Wall” was published by researchers at Argonne ...
Optimization Pathways for Long-Context Agentic LLM Inference” was published by researchers at University of Cambridge, ...
Abstract: Real-world production scenarios often involve multiobjective optimization problems with intricate constraints. Although there has been a growing interest in multiobjective problems with ...
Abstract: Non-Intrusive Load Monitoring (NILM) aims to estimate the power consumption of electrical appliances from the aggregated power consumption. While recent machine learning approaches have ...
Dr. Marca Lam received her B.S. (summa cum laude) and M.S. in Mechanical Engineering from the University at Buffalo, and her Ph.D. from Virginia Polytechnic Institute and State University. Dr. Lam’s ...
Forecasting, a fundamental task in machine learning, involves predicting future values of a time series based on its historical behavior. This paper introduces a novel Hierarchical Patch Based ...
The QuantConnect MCP Server is a bridge for AIs (such as Claude and OpenAI o3 Pro) to interact with our cloud platform. When equipped with our MCP, the AI can perform tasks on your behalf through our ...
9 month programme. Students take four compulsory half unit courses and options to the value of two unit(s). Please note that places are limited on some optional courses. Admission onto any particular ...
State Key Laboratory of Green Chemical Engineering and Industrial Catalysis, Center for Computational Chemistry and Research Institute of Industrial Catalysis, East China University of Science and ...
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