As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models designed to process graph-structured data. Currently, GNNs are effective ...

As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models ...

This is an important work implementing data mining methods on IMC data to discover spatial protein patterns related to the triple-negative breast cancer patients' chemotherapy response. The evidence ...

The next exam will take place on Monday, November 3, 2025, from 6:45 p.m. to 8:45 p.m. Please contact Pascale Larouche, plar@udel.edu , to register for the exam. The deadline to register for this exam ...

That is the response to a question posed by AI to itself. I posed the following question to ChatGPT: “What is your take on AI ...

This study investigated the dynamics of human cortical network activity with functional magnetic resonance imaging during movie watching and studied the modulation of these dynamics by subcortical ...

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with pseudo-inverse training implemented using JavaScript. Compared to other training techniques, such as ...

Here are five questions regarding the current state of each participating Big Six hockey nation ahead of the Olympics.

Leveraging that position in our demand-side technology to acquire more users for these apps creates a flywheel effect of ...

Large language models (LLMs), the computational models underpinning the functioning of ChatGPT, Gemini and other widely used ...