When the State enters the cradle: How China and India are engineering early childhood for economic growth

Explore how China and India are transforming early childhood education to enhance cognitive development and secure economic ...
Kennesaw State University

KSU researcher using VR to improve STEM education

Preethi Titu spent her adolescence preparing to become a doctor, but from a young age she knew she was more interested in ...
The Manila Times

Lake Erie College of Osteopathic Medicine Designs Medical Education Around Multiple Learning Pathways to Support Different Learning Styles

Medical education is often delivered through a single instructional format, but Lake Erie College of Osteopathic Medicine (LECOM) is taking a different approach by designing its medical curriculum ...

MemRL outperforms RAG on complex agent benchmarks without fine-tuning

MemRL separates stable reasoning from dynamic memory, giving AI agents continual learning abilities without model fine-tuning ...
Yale Insights

How Innovations in Understanding Everyday Data Can Power More Effective Aid

For a project in Bangladesh, Prof. Mushfiq Mobarak and his team used machine-learning models applied to mobile phone records ...

AI Has A Brand Problem And Entertainment Is The Fix

AI is reshaping brand strategy. As agentic AI scales content marketing, brands must build entertainment fields, creating loyalty and gravity beyond transactions.
BMJ Open

Generating actionable insights to support point-of-care suicide risk decision-making in a safety-net healthcare system: a machine learning approach to predicting dynamic risk ...

Background Suicide rates have increased over the last couple of decades globally, particularly in the United States and among populations with lower economic status who present at safety-net ...
IEEE

Improving Floating Offshore Wind Farm Flow Control With Scalable Model-Based Deep Reinforcement Learning

Abstract: This paper proposes a model-based deep reinforcement learning (DRL) framework to maximize the total power output and minimize the fatigue load of a floating offshore wind farm subject to ...
IEEE

Model-Based Safe Reinforcement Learning for Active Distribution Network Scheduling

Abstract: Data-driven methods, especially reinforcement learning (RL), are adept at addressing uncertainties but are poor at ensuring safety, which is a critical requirement in active distribution ...
VentureBeat

Google’s ‘Nested Learning’ paradigm could solve AI's memory and continual learning problem

Researchers at Google have developed a new AI paradigm aimed at solving one of the biggest limitations in today’s large language models: their inability to learn or update their knowledge after ...
Educational Technology and Mobile Learning

Inquiry-based Learning Simply Explained

Inquiry-based learning has been gaining more attention in classrooms across the world. Teachers often ask, What does it look like in practice? How does it differ from more traditional approaches? At ...
unlv

The Power of Project-Based Learning: How Alum Mike Taack is Transforming Learning With WYLEES

“Is this even important?” “Why do I need to learn this?” As a middle school educator for over 15 years, Mike Taack, ‘11 M.Ed. Secondary Curriculum and Instruction, had heard those questions from his ...