Key Takeaways -   To understand data science, one needs a lot of technical expertise along with business understanding. Generative AI, MLOps, and clou ...

This work addresses a critical challenge in marine seismic exploration: the reconstruction of large contiguous near-offset data gaps. We propose a novel physics-grounded deep learning framework that ...

Stellantis (NYSE: STLA) launched a third shift at its Windsor Assembly Plant on Tuesday, adding more than 1,700 jobs as the automaker expands production of Dodge Charger muscle cars and Chrysler ...

This paper proposes a multi-modal deep learning framework for Arabic Sign Language (ArSL) recognition, addressing the challenges of both static and dynamic gesture recognition. The framework ...

Abstract: AI-based image processing plays a crucial role in agriculture by enabling early detection of plant diseases, thereby increasing crop productivity and minimizing economic losses. In this ...

Your browser does not support the audio element. Optimize and debug the performance on the multi-GPU single host. For example, if you are using a TensorFlow ...

Abstract: Multi-output symbolic regression involves predicting two or more target variables simultaneously, adding complexity compared to single-output symbolic regression due to the interdependence ...

TensorFlow is an open-source machine learning framework developed by Google for numerical computation and building mach This call enables type promotion in TensorFlow and also changes type inference, ...

This study aimed to develop a hybrid deep learning model for classifying multiple fundus diseases using ultra-widefield (UWF) images, thereby improving diagnostic efficiency and accuracy while ...

Patients with recurrent nasopharyngeal carcinoma (rNPC) undergoing re-irradiation have a high risk of lethal nasopharyngeal necrosis (NN), which may lead to massive nasopharyngeal hemorrhage or death.