A research group has developed SPACIER, an advanced polymer material design tool that integrates machine learning with ...

In their satirical history of the United Kingdom, “1066 And All That”, the authors W. C. Sellar and R. J. Yeatman cast the ...

Princeton's John Hopfield, the 2024 Nobel Laureate in Physics, and former Princeton professor Fei-Fei Li '99 were two of ...

While ML models are powerful tools for predicting diabetes, their lack of interpretability presents a major challenge for ...

Meteoroid impacts create seismic waves that cause Mars to shake more strongly and deeply than previously thought. This is ...

Developed by SECQAI, the QLLM enhances traditional AI models with quantum computing for improved efficiency and ...

Deep learning works by using multilayered neural networks. To make sense of the data they are fed, such as photos, neural ...

Finding patterns and reducing noise in large, complex datasets generated by the gravitational wave-detecting LIGO facility ...

A recent study conducted by University of New Hampshire researchers explored how integrating machine and deep learning techniques can create a ...

As financial crime risks evolve, including those risks posed by the use of AI and other emerging technologies, so too must ...

The introduction of BadUnlearn highlights a previously unaddressed security risk, demonstrating that FU alone is not a ...

Santhosh Kumar Shankarappa Gotur's systematic approach to performance testing and optimization provides a robust framework ...