Explore five exciting deep learning research trends that could shape the future of AI and machine learning.

In a study published in Nature Communications, researchers at the University of Wisconsin–Madison introduced a deep learning ...

In Biology 101, we learn that RNA is a single, ribbon-like strand of base pairs that is copied from our DNA and then read ...

A research team from Kumamoto University has developed a promising deep learning model that significantly enhances the ...

A neuroscience breakthrough has been achieved using AI to identify neuron cell types from the brain activity recordings of ...

deep learning techniques rely on deep neural networks for end-to-end feature extraction, avoiding the subjectivity of manual feature extraction. Figure 1. Overall structure of the ADG-RANet model.

This study developed CMF-ELSeg, a novel fully automatic multi-structure segmentation model based on deep ensemble learning. Methods: A total of 143 CMF computed tomography (CT) scans were ...

However, due to its distributed structure, FL is vulnerable to poisoning attacks ... and achieve the optimal classification by training a deep learning-based one-class classifier equipped with a ...

Tianjin Key Laboratory of Civil Structure Protection and Reinforcement, Tianjin Chengjian University, Tianjin 300384, P. R. China Tianjin Key Laboratory of Civil Structure Protection and Reinforcement ...

Scientists at Columbia Engineering have created a machine learning ... structures and jumbled the atomic positions until they were indistinguishable from random placement. Then, they trained a ...