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Research & Development
Bridging Kinetic Theory and AI: New Perspectives on Data Divergence Measures
TLDR: This research paper explores the deep connection between kinetic theory and artificial intelligence through the lens of divergence measures. It reviews and compares...
Research & Development
AI’s Dual Role in the Net-Zero Transition: Energy Demands and Decarbonization Potential
TLDR: This research paper explores the complex relationship between the rapid growth of Artificial Intelligence (AI) and global net-zero emission goals. It highlights that...
Research & Development
Automating Thematic Analysis of Social Media Data with Large Language Models: A Xylazine Case Study
TLDR: This research demonstrates that Large Language Models (LLMs), particularly GPT-4o with few-shot prompting, can effectively automate thematic analysis of social media data, achieving...
Research & Development
Guiding Protein Language Models Towards Safer Designs
TLDR: A new framework, Knowledge-guided Preference Optimization (KPO), enhances the safety of protein language models (PLMs) by integrating a Protein Safety Knowledge Graph (PSKG)....
Research & Development
ExRec: A New Framework for Personalized Exercise Recommendations in Online Learning
TLDR: ExRec is a novel framework designed to enhance personalized exercise recommendations in online education. It addresses limitations of previous systems by using AI...
Research & Development
Enhancing Autonomous System Decisions Through Collaborative Trustworthiness
TLDR: This research paper introduces a novel collaborative approach to improve decision-making and trustworthiness in autonomous systems. Instead of relying on simple majority or...