Wharton professor Ethan Mollick advises professionals to seek roles requiring diverse human skills like emotional ...

Northwestern University and University of California, Los Angeles (UCLA) scientists have developed a new process-based ...

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

Despite the AI hype, ML tools really are proving valuable for leading-edge chip manufacturing. More aggressive feature ...

A team of researchers from the Heidelberg Institute for Theoretical Studies (HITS) and the Max Planck Institute for Polymer ...

Federated Learning (FL) is an alternative approach that facilitates training machine learning models on distributed users’ data while preserving privacy. However, clients have different local model ...

Blood glucose monitoring is crucial for controlling diabetes. However, traditional fingertip pricking methods usually cause discomfort to patients and cannot achieve continuous monitoring. To overcome ...

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 ...

Conclusion: By innovatively integrating multi-source data and machine learning techniques, this study systematically analyzes the relationship between campus audiovisual environments and attention ...

Pearson has entered a multi-year partnership with Alphabet's Google cloud service, providing students with AI learning tools that also make teachers' jobs easier, the British education company ...