Alessandro Ingrosso, researcher at the Donders Institute for Neuroscience, has developed a new mathematical method in ...

Develop vital data science, AI and machine learning skills through interactive live sessions and real world case studies and ...

Researchers pioneered the integration of CNN-LSTM with bond stress-slip constitutive modeling and proposed a deep learning-enabled numerical ...

Researchers from MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL) have developed a novel artificial ...

Researchers pioneered the integration of CNN-LSTM with bond stress-slip constitutive modeling and proposed a deep ...

A convolutional neural network (CNN) for classifying the ... and hyperparameter tuning to optimize model performance, achieving 89.76% test accuracy. A secure, scalable, and modular implementation of ...

1 The Second Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China 2 Shenzhen Eye Hospital, Shenzhen Eye Medical Center, Southern Medical University, Shenzhen, Guangdong, China ...

The researchers created four machine learning (ML) models to predict storm surges, significantly improving forecasting accuracy when integrated with the Finite Volume Community Ocean Model (FVCOM-ML).

have developed a machine learning model that permits the prediction of bespoke Cas9 proteins that are more uniquely suited to specific targets and can be tailored with designer properties for ...

This project provides an interactive demonstration of CNN-JEPA (Convolutional Neural Network Joint-Embedding Predictive Architecture), a PhD-level Artificial Machine Intelligence (AMI) that showcases ...

In a landmark contribution to petroleum engineering, Nigerian researcher Prosper Nekekpemi has developed a machine learning model that significantly improves the prediction of bubble-point ...