Explore historical events through multiple lenses – political, economic, social, and cultural. Direct your AI research ...

FaceAge is essentially a deep learning algorithm-based system that is designed to provide a patient’s age in health, not in years.

Across various classes, the researchers identified a model that, when coupled with appropriate data augmentation and ...

Zhang is part of a research team that has developed a deep learning model to detect mental health symptoms and risk factors ...

Pothula Venkatalakshmi, a 72-year-old from Kakinada, inspired many as she appears for NEET 2025, shattering age stereotypes and embracing lifelong learning. Listen to Story 72-year-old Pothula ...

Here, we introduce a spectrometer slit empowered by a deep learning model SlitNET. We trained a neural network to reconstruct synthetic Raman spectra with enhanced resolution from low-resolution ...

The denoising time is also too long. Since most of the denoising algorithms based on deep learning use simulated images for model training, it is difficult to effectively suppress speckle noise in the ...

Predictive analytics harness historical data and machine learning models to forecast purchasing patterns, identify emerging market trends and predict which content will perform best. We have used ...

and we looked for a problem that would be a good testbed for physics-guided deep learning. We settled on predicting the evolution of turbulent flow, which is a key factor in climate models, as well as ...