For many Maine families, homeschooling emerges not as a first choice, but as a response to an education system that doesn't ...

Quick, low-stakes observations focused on student learning allow administrators to provide teachers with useful feedback on ...

The agent acquires a vocabulary of neuro-symbolic concepts for objects, relations, and actions, represented through a ...

An innovative and scalable proximity labelling method profiled proteins present in the Caenorhabditis elegans brain during learning, identifying known regulators as well as novel biological pathways.

Dental education is on the cusp of a transformative shift, traditionally rooted in hands-on training using real or synthetic ...

Singapore researchers show how adapting pre-trained AI models can solve data scarcity issues in countries with limited ...

Our pets rely on us to take care of them when they’re sick or injured. But if we’re not prepared, panic and confusion can ...

Deep learning and artificial intelligence are driving a transformative era in medical imaging, ushering in advanced tools for ...

Deep learning techniques can enhance diagnosis of Meniere disease (MD) and severity grading, according to a study published ...

Readers discuss the adoption of artificial intelligence tools in schools. Also: President Trump’s “Board of Peace”; an ...

Abstract: The discernment of jamming signal was important for the downstream tasks. Though great improvement was achieved by deep learning previously, these methods need large amounts of signals with ...

Abstract: Multi-interest learning method for sequential recommendation aims to predict the next item according to user multi-faceted interests given the user historical interactions. Existing methods ...