A research team led by Prof. Li Xiangxian from the Anhui Institute of Optics and Fine Mechanics, the Hefei Institutes of ...
As multinationals embed tax technology into their TP functions, a new breed of systems – built on multi model databases – is ...
Groundwater quality in Kasganj is critically compromised. This study uses advanced machine learning to predict contamination ...
At the heart of every AI workload lies a pipeline—the process of ingesting, transforming, training, and serving data. These ...
Cognizant (Nasdaq: CTSH) today announced a breakthrough from its AI Lab that introduces a novel, efficiency-focused method ...
Kenya’s food markets are known for extreme volatility influenced by weather shocks, inflation, currency fluctuations, and ...
ABSTRACT: Mathematical optimization is a fundamental aspect of machine learning (ML). An ML task can be conceptualized as optimizing a specific objective using the training dataset to discern patterns ...
ABSTRACT: This study presents a comprehensive and interpretable machine learning pipeline for predicting treatment resistance in psychiatric disorders using synthetically generated, multimodal data.
Abstract: Machine learning models are increasingly utilized in critical areas such as finance, hiring, and criminal justice, yet they often inherit or amplify societal biases, leading to unfair ...
Abstract: Federated Learning (FL) is a decentralized machine learning (ML) approach where multiple clients collaboratively train a shared model over several update rounds without exchanging local data ...
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