One of the shared, fundamental goals of most chemistry researchers is the need to predict a molecule's properties, such as ...

In today’s age, where businesses generate more data than ever before, the challenge is no longer just collecting infor ...

The Machine Learning Development Market is expected to grow from USD 35.0 billion in 2023 to USD 942.4 billion by 2033, with ...

Northwestern Engineering faculty and students participated in the annual forum for advances in theory, empirics, and ...

Learning differential evolution (DE) algorithms are widely adopted to address flexible job-shop scheduling problems (FJSPs) because of the optimization ability. However, traditional learning DEs are ...

In an age where artificial intelligence (AI) is no longer a futuristic concept but a present-day reality, the role of ...

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 to solve ...