Based on a unique deep learning architecture, a new computational model developed by researchers from the Center for Advanced ...

Become a Member The center’s faculty seeks active engagement toward building a robust, comprehensive, and scalable solution for an end-to-end deep learning training and model-serving architecture.

it becomes an AI model. The more data it has been trained on, the more accurate it is. From machine learning and deep learning to generative AI and natural language processing, different types of ...

The dataset used was a widely known credit card fraud detection benchmark obtained from Kaggle. It is notoriously imbalanced, ...

Density functional theory is a widely used computer-based quantum mechanical method for calculating properties of atoms, ...

A new machine learning approach tries to better emulate the human brain, in hopes of creating more capable agentic AI.

The study addresses a common challenge in sustainable waste management: real-time classification of household waste under ...

Because of its complex neural network architecture, deep learning is ... Neural networks constitute a key piece of deep learning model algorithms, creating the human-brain-like neuron pattern ...

In his recent research article, “View of Deep Learning-Based Protocol Stack Optimization ... This study builds on Sheelam’s broader body of work in edge AI and federated learning. His architecture ...