In an age which is as transformational as it is transforming, education needs to evolve to remain effective and productive. Traditional ...

Quick, predictable, and consistent activities provide a foundation to get students thinking and ready to learn.

Grammatical error correction (GEC) is a key task in natural language processing (NLP), widely applied in education, news, and ...

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

These strategies help teachers set up engaging and enriching opportunities for literacy exploration throughout the day.

Rules-based automation (RBA) and learning are two training mechanisms in robotics. While there are many others, these are two ...

Recent survey delivers the first systematic benchmark of TSP solvers spanning end-to-end deep learners, hybrid methods and brand-new LLM-based hybrids, revealing that hybrids give best-in-class routes ...

Google researchers introduce ‘Internal RL,’ a technique that steers an models' hidden activations to solve long-horizon tasks.

Encoding individual behavioral traits into a low-dimensional latent representation enables the accurate prediction of ...

Missouri’s method for determining state aid for public schools is poised for substantial change, as a task force drafting the ...

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

More than 7 million people aged 65 and older suffer from Alzheimer's disease in the United States, according to a 2025 report ...