At first glance, it may be tempting to assume that, when it comes to education, presenting students with more material in a ...

Meta's Q4 FY25 users hit 3.58B, ad impressions +18%, and Reels watch time +30% as LLM recommendations boost monetization.

From autonomous cars to video games, reinforcement learning (machine learning through interaction with environments) can have ...

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

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

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

The State Board of Education in Washington has officially endorsed its newest report on Mastery-based Learning (MBL), following a comprehensive demonstration project aimed to transform how education ...

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 ...

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 ...

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 ...

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 ...

“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 ...