Brex reports AI is transforming procurement, enhancing efficiency through automated tasks and predictive analytics, while ...

Abstract: Machine learning algorithms are resource intensive processes that require large computing resources. The increasing demand for these resources has highlighted the need for a cost-effective ...

Quantum machine learning is a hybrid approach that combines classical data with quantum computing methods. In classical computing, data is stored in bits encoded as a 0 or 1. Quantum computers use ...

Abstract: The paper argues that modern machine learning methods make it possible to find mathematical expressions for various multidimensional functions. The article formulates a list of problems in ...

Confused about cost functions in neural networks? In this video, we break down what cost functions are, why they matter, and which types are best for different applications—from classification to ...

Human-machine interaction and computational neuroscience have brought unprecedented application prospects to the field of medical rehabilitation, especially for the elderly population, where the ...

This study investigates the impact of financial and non-financial factors on a firm's ex-ante cost of capital, which is the reflection of investors' perception on a firm's riskiness. Departing from ...

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