Q&A: Even small amounts of online math practice can improve skills

An analysis of data from 200,000 students using a computer-assisted math program supports an optimistic view of skill-focused ...
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.
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 ...
marktechpost

Microsoft AI Introduces rStar2-Agent: A 14B Math Reasoning Model Trained with Agentic Reinforcement Learning to Achieve Frontier-Level Performance

Large language models have made impressive strides in mathematical reasoning by extending their Chain-of-Thought (CoT) processes—essentially “thinking longer” through more detailed reasoning steps.