By feeding centuries-old nursery rhymes and folklore recordings into their own model, linguists in Louisiana hope to help a ...

As the nation marks 250 years since the signing of the Declaration of Independence, the Smithsonian invites educators to ...

The Eleventh Conference on Machine Translation (WMT26) has moved into its active evaluation phase, with test data releases and submission windows now opening across several of the conference’s shared ...

Researchers around the world are racing to develop new quantum-based systems for sensing, communication, computing and ...

Schools are often the first stable institution that refugee-background learners encounter, but they can also be a space of challenges, discrimination and exclusion. Predictable routines, ...

AI automation typically requires task-level fixed costs, such as model training or fine-tuning. We develop a quantitative task-based framework in which automation depends jointly on relative marginal ...

Task-Based Language Teaching and Learning (TBLT) is a communicative approach that positions authentic language tasks as the central unit of instruction. Originating from the communicative language ...

Google introduced new features for Search that continues its evolution into a more task-oriented tool, enabling users to launch AI agents directly from AI Mode and complete more tasks. This is a trend ...

In classrooms across the state, children are learning to read from teachers required to use new tools, research and instruction. Known as the “science of reading,” this approach draws upon decades of ...

Large language models (LLMs) can generate credible but inaccurate responses, so researchers have developed uncertainty quantification methods to check the reliability of predictions. One popular ...

Functional brain connectivity has been instrumental in uncovering the large-scale organization of the brain and its relation to various behavioral and clinical phenotypes. Understanding how this ...