How Teaching A.I. Endangered Languages Can Help Save Them

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

Mother-tongue-based learning gains momentum in Chhattisgarh's tribal schools

Chhattisgarh is steadily expanding mother-tongue-based education in its government schools, particularly across Bastar and ...
Earth.com

Scientists develop an AI model that reads animal behavior like language

New AI model, BehaVERT, reads mouse behavior like language, revealing patterns that could improve research into human ...

Small Language Models Outperform Frontier AI On Cost, Speed And Accuracy

Bigger has defined AI from day one. New data says task-specific small models beat frontier LLMs on accuracy, cost and speed — ...
Tech Times

Open-Source Coding Model Ornith-1.0 Writes Its Own Training Scaffold in Reinforcement Learning

Open-source agentic coding model Ornith-1.0, released today under the MIT license, uses a self-improving reinforcement ...
The Better India

In a Tribal Village in Manipur, Children Learn in Their Own Language Under Trees Instead of Classrooms

A community school in Manipur built by two educators helps children learn in their own Rongmei language, achieving 95% ...
Inside Higher EdOpinion

Human Intelligence Labs: New Infrastructure for Learning in the Age of AI

They would complete assignments at home, ostensibly with an overreliance on AI, but would be unable to perform those skills ...
Slator

2026 Slator Language AI 50 Under 50

The 2026 Slator Language AI 50 Under 50 showcases fifty of the most notable and innovative Language AI companies founded in ...

Is sustained bilingual education best for English learner achievement?

Rice University researchers found higher scores in both reading and math for Houston-area students who continued to learn in ...

Microsoft’s open-source SkillOpt automatically upgrades AI agent skills without touching model weights

Microsoft's SkillOpt brings deep-learning discipline to AI agent skills, replacing manual prompt tweaking with mathematically validated text optimization.
Tech Times

LLM Data Mixture Breaks When Training Pools Shift: Causal Inference Offers Fix

LLM training data mixture optimization breaks when training pools shift — every prior proxy experiment becomes stale.
Tech Xplore on MSN

An AI model that thinks like we do offers new ways to peer inside the black box

When a standard large language model (LLM) is confronted with a problem, it tries to solve it by matching it to similar information it has seen before, and then give an answer based on those past ...