A new deep learning model shows promise in detecting and segmenting lung tumors, according to a study published today in ...

Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Network… ...

This repository provides a PyTorch implementation of the research paper, Deep-Emotion. Note: This implementation is not the official one described in the paper.

Moreover, the classification of multimodal data with limited labeled instances is another challenging task. To address these issues, we propose a contrastive learning enhanced adaptive multimodal ...

On this basis, a two-dimensional data-driven convolutional neural network model ... help of the success of deep learning in the field of computer vision. However, at present, most of the research on ...

Researchers have explored the potential of deep neural networks (DNNs) in transforming fragrance design. By analyzing the sensing data of 180 essential oils, the DNN was trained using the odor ...

While only a few cases of compromised information were identified, AT&T was monitoring and remediating its networks to protect customers data, and continues to work with authorities to assess and ...

Neuberger explained that once Chinese hackers infiltrated telecommunication networks, they essentially had “broad and full access” to American data, which allowed them to “geolocate millions ...

AI models like artificial neural networks and language models ... and refine deep learning models for a variety of applications, including the interpretation and prediction of biological data. Rebecca ...