Semiconductor processing is notoriously challenging. It is one of the most intricate feats of modern engineering due to the ...

The new capabilities are designed to enable enterprises in regulated industries to securely build and refine machine learning ...

Addressing gaps in AI adoption can propel enterprises toward sustainable growth, enhanced operational resilience and ...

Machine learning is expected to fuel significant improvements in medical care. To ensure that fundamental principles such as beneficence, respect for human autonomy, prevention of harm, justice, ...

To flexibly and robustly handle diverse problems, AI systems can leverage dual-process theories of human cognition that ...

Federated Learning (FL) allows edge devices (or clients) to keep data locally while simultaneously training a shared high-quality global model. However, current research is generally based on an ...