In a world where machines can process infinite data points, will our greatest competitive advantage become our ability to understand the ones they'll never measure?
Abstract: This research exploits the applications of reconfigurable intelligent surface (RIS)-assisted multiple input multiple output (MIMO) systems, specifically addressing the enhancement of ...
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 ...
A new study addresses a foundational problem in the theory of driven quantum matter by extending the Středa formula to ...
Recently, Professor Zong Chuanming from the Center for Applied Mathematics at Tianjin University published a paper titled ...
The rStar2-Agent framework boosts a 14B model to outperform a 671B giant, offering a path to state-of-the-art AI without ...
A new technical paper titled “Analog optical computer for AI inference and combinatorial optimization” was published by ...
Optimization Pathways for Long-Context Agentic LLM Inference” was published by researchers at University of Cambridge, ...
Did you consider yourself a mathematician the last time you sat down to solve a Sudoku puzzle? It’s certainly a mentally stimulating activity—review the squares, jot down a few potential answers, scan ...
Abstract: Nonconvexity is a usually overlooked factor in economic dispatch (ED). Enhancing the nonconvexity of the objective function leads traditional convex optimization algorithms easily to fall ...
Will Kenton is an expert on the economy and investing laws and regulations. He previously held senior editorial roles at Investopedia and Kapitall Wire and holds a MA in Economics from The New School ...
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