Low-rank data analysis has emerged as a powerful paradigm across applied mathematics, statistics, and data science. With the rapid growth of modern datasets in size, dimensionality, and complexity, ...
Abstract: Operating room (OR) planning and scheduling is a highly complex combinatorial optimization problem that involves patient assignment, OR allocation, and surgical sequencing within a ...
ABSTRACT: Multi-objective optimization remains a significant and realistic problem in engineering. A trade-off among conflicting objectives subject to equality and inequality constraints is known as ...
A new technical paper titled “LongSight: Compute-Enabled Memory to Accelerate Large-Context LLMs via Sparse Attention” was published by researchers at Cornell University. “Large input context windows ...
In the labs of the future, AI is becoming an alchemist, conjuring up new materials by the thousands. Traditional lab-by-lab screening can only scratch the surface. For example, researchers have ...
Abstract: With the acceleration of urbanization, the construction resource management of civil pipeline engineering construction needs to seek a balance between multiple objectives such as resource ...
A new technical paper titled “Hardware Acceleration of Kolmogorov-Arnold Network (KAN) in Large-Scale Systems” was published by researchers at Georgia Institute of Technology, National Tsing Hua ...
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