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Researchers evaluate the ability of ChatGPT to extract structured data from unstructured clinical notes.

This study aims to improve the performance of organic to recyclable waste through deep learning techniques. Negative impacts on environmental and Social development have been observed relating to the poor waste segregation schemes. Separating organic waste from recyclable waste can lead to a faster and more effective recycling process. Manual waste classification is a time-consuming, costly, and less accurate recycling process. Automated segregation in the proposed work uses Improved Deep Convolutional Neural Network (DCNN). The dataset of 2 class category with 25077 images is divided into 70%...

A relatively high rate of female clinicians and social workers use stigmatizing language in clinical notes to describe patients with an opioid addiction.

As Norway's Nscale employs AMD's tech and renewable energy to offer high-performance, sustainable GPU cloud services, it aims to transform the face of accelerated computing globally.

Global AI development service Market: by Component (Software Tool and Services), by Technology (Machine Learning and Deep Learning and Natural Language Processing), by Verticals (BSFI, Retail, Government and Defense and by Region – Global Forecast (2