AI-Enhanced Problem-Based Learning in Pathology Technology: An OBE-Driven Triadic Model of Clinical Problem, AI Validation, ...

Quantum AI workloads will benefit from the integration of quantum computers in data centers and high-performance computing ...

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

Generative AI tools have made multimodal content creation accessible to teachers, sharply reducing the time and expertise needed to produce it—a shift with significant pedagogical implications. This ...

Abstract: Accurate drug–drug interaction (DDI) prediction is crucial for optimizing the efficacy of combination therapies and minimizing adverse effects. Most existing methods rely on single features ...

In this video I work through 14 different examples of solving multi-step equations so that you don't have to. You can sit back, relax, and see how it is done. When solving multi-step equations, our ...

In this post, we share the motivations, design choices, experiments, and learnings that informed its development, as well as an evaluation of the model’s performance and guidance on how to use it. Our ...

ABSTRACT: This study examines the influence mechanism of cover design in English translations of Chinese children’s picture books on cultural transmission from a multimodal metaphor perspective. By ...

According to @godofprompt on Twitter, Google’s Gemini model leverages a multi-shot calibration framework that relies on exactly three examples for effective few-shot learning. Unlike single-example ...

Abstract: This study explores the application and effectiveness of Eye Movement Modeling Examples (EMME) in learning Standard Operating Procedures (SOP) in the manufacturing industry, where improving ...