AI’s predictive power is transformative, but its lack of explainability, contextual understanding, and causal reasoning ...

Abstract: Artificial intelligence (AI) is increasingly leveraged for decision support in complex, high-stakes environments such as medical triage. Training AI models typically relies on aligning with ...

"The ChatGPT moment for physical AI is here — when machines begin to understand, reason, and act in the real world," Nvidia ...

Discover how financial innovation reshapes investing, banking, and payment systems with examples like crowdfunding and mobile ...

Abstract: Understanding how large language models (LLMs) generalize across diverse traffic scenarios is critical for advancing autonomous driving systems. While previous studies have validated LLMs’ ...

This path remains dependent on the struggle of feminist organizations, the role of leftist and progressive parties, the ...

Real-World Examples for Navigating Ethical Dilemmas in the Workplace Ethical dilemmas at work rarely arrive with clear ...

Dr. Vishal Sharma [email protected] Not long ago, the word “Artificial Intelligence (AI)” would bring to mind images of sci-fi robots, self-aware machines, or futuristic cities powered ...

This project contains implementations of simple neural network models, including training scripts for PyTorch and Lightning frameworks. The goal is to provide a modular, easy-to-understand codebase ...

By integrating Decision Education into STEM, teachers can make learning more relevant and accessible to all students.

This decision did not emerge from the Advisory Committee on Immunization Practices (ACIP), which typically guides the CDC’s ...

The second key factor is radical personalisation. Moving beyond basic patient segmentation, true personalisation means ...