Deepfakes are no longer a future risk. They are already influencing fraud investigations, court proceedings, and digital ...

A research team has developed an AI-based approach to streamline the evaluation of maize haploid fertility restoration, a key bottleneck in double haploid (DH) breeding.

anthropomorphism: When humans tend to give nonhuman objects humanlike characteristics. In AI, this can include believing a ...

This project presents an end-to-end medical image analysis pipeline for detecting retinal diseases from Optical Coherence Tomography (OCT) images. The system is built using a structured, ...

Deep learning uses multi-layered neural networks that learn from data through predictions, error correction and parameter adjustments. It started with the ...

CNN in deep learning is a special type of neural network that can understand images and visual information. It works just like human vision: first it detects edges, lines and then recognizes faces and ...

In large public multi-site fMRI datasets, the sample characteristics, data acquisition methods, and MRI scanner models vary across sites and datasets. This non-neural variability obscures neural ...

Objective: The aim of the present study proposed a deep learning framework for different influenza epidemic states based on Baidu index and the influenza-like-illness rate (ILI%). Methods: Official ...

On July 23, 2022, the World Health Organization (WHO) officially announced that the Mpox outbreak was upgraded to a “Public Health Emergency of International Concern” (PHEIC), 1 which is the highest ...

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