Using generative AI to help scientists synthesize complex materials

Generative AI models have been used to create enormous libraries of theoretical materials that could help solve all kinds of ...
IEEE

Secure Machine Learning Hardware: Challenges and Progress [Feature]

Abstract: With the rising adoption of deep neural networks (DNNs) for commercial and high-stakes applications that process sensitive user data and make critical decisions, security concerns are ...
Visual Studio Magazine

Linear Regression with Pseudo-Inverse Training Using JavaScript

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 ...

AI model more accurately predicts cardiac event risk from PET scan data

Cardiovascular disease continues to be the leading cause of death worldwide. To save lives, constantly improving diagnostic ...
Frontiers

Machine Learning for Inverse Design and Optimization of Metamaterials

In the domain of metamaterials, the push toward automated design has been accelerated by advances in generative machine learning. The advent of deep ...
IEEE

Quantum Machine Learning: Recent Advances, Challenges, and Perspectives

Abstract: This study presents a comprehensive survey on Quantum Machine Learning (QML) along with its current status, challenges, and perspectives. QML combines quantum computing and machine learning ...