Large scale datasets and information processing requirements, within complex environments, are continuously reaching unprecedented levels of sophistication, especially in the advent of artificial ...

Image courtesy by QUE.com Understanding the Hidden Gaps in Brain-Inspired AI Recent advances in artificial intelligence have ...

Understanding the Hidden Gaps in Brain-Inspired AI Recent advances in artificial intelligence have drawn heavily from the human brain’s architecture ...

Traditional artificial neural networks, exemplified by large-scale models such as ChatGPT, have been widely applied across various domains. However, these models commonly suffer from low computational ...

Katie Schuman, assistant professor and algorithm expert in the Min H. Kao Department of Electrical Engineering and Computer Science at the University of Tennessee, along with fellow professor Jim ...