The IMF develops a machine-learning nowcasting framework to estimate quarterly non-oil GDP in GCC countries in real time, ...
Imagine a camera that keeps a laser pencil sharp down to a hair’s width—257 nm! New AI trick watches the tiny bright dot and nudges the stage so ...
While the potential benefits of AI in obesity prevention are substantial, the study devotes significant attention to ...
Multimodal Learning, Deep Learning, Financial Statement Analysis, LSTM, FinBERT, Financial Text Mining, Automated Interpretation, Financial Analytics Share and Cite: Wandwi, G. and Mbekomize, C. (2025 ...
Eggs are more than just a breakfast staple – they’re a global nutritional powerhouse packed with essential vitamins, minerals ...
Researchers at the University of Hawaiʻi Institute for Astronomy (IfA) are helping reshape how scientists study the sun. The ...
Felimban, R. (2025) Financial Prediction Models in Banks: Combining Statistical Approaches and Machine Learning Algorithms.
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Early warning for diabetes: AI model identifies prediabetes risk with high accuracy
By Priyanjana Pramanik, MSc. By combining oxidative stress biology with advanced machine learning, researchers show how a ...
AMD has been steadily expanding its FidelityFX Super Resolution technology since 2021, but “Redstone” represents the biggest ...
NTT Research, Inc., a division of NTT, today announced that members of its Physics & Informatics (PHI) Lab, in collaboration ...
Abstract: Convolutional neural networks (CNNs) have played a significant role in the recent evolution of machine learning (ML) due to their feature extraction and pattern recognition capabilities.
Abstract: Federated learning (FL) emerges as a collaborative learning framework that addresses the critical needs for privacy preservation and communication efficiency. In synchronous FL, each client ...
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