Category: Computer Science & AI
Surveilling Suitability: How AI Hiring Interviews Impact Job Seekers with Disabilities
Examine how AI-powered video interview platforms discriminate against job seekers with disabilities through algorithmic bias, surveillance, and opacity in hiring processes.
Breaking News or Breaking Trust? Exploring Challenges and a Design Space for Trustworthy LLM Integration in Journalism
Study examining how interactive interface design can promote trustworthy large language model integration in newsrooms, identifying five key challenges and prototyping solutions.
Implementation of an Artificial Intelligence-Based Smart Attendance Automatic Attendance System with Face Detection Using YOLOv11 at Muhammadiyah Ahmad Dahlan University, Palembang
Implementation of YOLOv11-based facial detection system for automated student attendance at university with integration to academic databases.
RESEARCHER’S INFORMATION PORTFOLIO IN THE ERA OF ARTIFICIAL INTELLIGENCE
Analysis of how generative artificial intelligence transforms research practices, examining opportunities in data analysis and pattern recognition alongside ethical challenges.
AI-Powered Code Helper for Intelligent Code Analysis, Debugging, and Multi-Language Execution
Web-based AI system integrating code execution, error detection, and AI explanations across multiple languages to improve programmer comprehension and debugging efficiency
ICL Characterization of Climate Foundation Models: When Can Transformers Learn Weather and Climate?
Theoretical analysis explains why climate foundation models succeed at field prediction but fail at extreme event detection through in-context learning complexity.
DTMiner: A Data-Centric System for Efficient Temporal Motif Mining
DTMiner optimizes temporal motif mining by coordinating multiple matching tasks around shared data access patterns, achieving 1.14×-11.98× performance improvements.
CXL-SpecKV: A Disaggregated FPGA Speculative KV-Cache for Datacenter LLM Serving
System offloads key-value caches to remote FPGA memory using CXL interconnects, achieving 3.2× throughput gains and 2.8× memory cost reduction for datacenter LLM serving.
It’s about Time: Temporal Abstractions for Asynchronous GPU Tensor Computations
Framework for temporal abstractions that simplify coordination of asynchronous GPU tensor computations, reducing complexity and hardware-dependent errors in specialized concurrent execution.
Multi-agent AI
Explore multi-agent AI’s five-component architecture and framework spanning technical capabilities, organizational integration, and socio-technical implications for fair, accountable AI systems.
