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

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

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

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

By replacing repeated fine‑tuning with a dual‑memory system, MemAlign reduces the cost and instability of training LLM judges ...

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

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 ...

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

Hooker says she wants to "eliminate prompt engineering" with AI models that intuitively adapt to varying tasks ...

Yann LeCun challenges humanoid robots built on precomputed demos, arguing for explicit world models so teams build adaptable ...

With the volume of risks outpacing human capacity, AI is playing an increasingly important role in expanding the way many ...

A massive new study comparing more than 100,000 people with today’s most advanced AI systems delivers a surprising result: ...