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DAXOS is a Python library designed to efficiently run Dask and XGBoost on SNP data, particularly for use on high-performance computing (HPC) systems that use a SLURM management system. The code is ...

值得关注的是，机器学习这一“黑科技”正深刻改变材料科学等领域的研发路径。传统研发中依赖“试错法”的模式效率低下、成本高昂，而机器学习构建的“预测–验证”高效循环，能够大幅缩短研发周期、降低试错成本，为材料筛选、性质预测、实验数据处理等关键环节提供全新解决方案。

Abstract: This paper is a comprehensive comparative analysis of two major machine learning models, XGBoost and Long and Short Term Memory (LSTM), for stock price forecasting using historical market ...

Explore how Sai Vamsi Kiran Gummadi is transforming financial systems for zero downtime and enhanced security through ...

Abstract: Globally, the consistent clamor by environmentalists for the need to mitigate the effects of climate change has necessitated the adoption of renewable energy sources (RES) for use by many ...

India has emerged as one of the world’s most dynamic and rapidly advancing centers for machine learning (ML)–enabled scientific research, according to the newly released <a href= ...

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This important study combines optogenetic manipulations and wide-field imaging to show that the retrosplenial cortex controls behavioral responses to whisker deflection in a context-dependent manner.