Future applications of national importance, such as healthcare, critical infrastructure, transportation systems, and smart cities, are expected to increasingly rely on machine-learning methods, ...

A new review examines how insertion and deletion (indel) errors disrupt data synchronization in modern communication systems.

The Smithsonian Center for Learning and Digital Access (SCLDA) hosted "Digital Directions in Learning", an online discussion series with leaders and researchers in public education, after school ...

The Smithsonian Center for Learning and Digital Access (SCLDA) hosted "Digital Directions in Learning", an online discussion series with leaders and researchers in public education, after school ...

Applications such as spam filtering, economic forecasting, and Netflix recommendations are powered by algorithms that allow computers to learn from and make predictions based on vast collections of ...