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 separates stable reasoning from dynamic memory, giving AI agents continual learning abilities without model fine-tuning ...
A controversial new movement promoting the "science of math" has come into the math establishment's crosshairs.
For a project in Bangladesh, Prof. Mushfiq Mobarak and his team used machine-learning models applied to mobile phone records ...
How much fresh water is in the United States? It's a tough question, since most of the water is underground, accessible at ...
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 ...