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Dual-Node NVIDIA DGX Spark over Tailscale: A Remote-Access Testbed for Distributed LLM Training and Cyber-Threat-Intelligence Fine-Tuning

- Compact AI systems make local language-model experimentation increasingly accessible, yet practical evidence for multi-node training on desktop-class accelerators remains limited. This report...

Representation Handoffs for OpenArm-Based Laboratory Mobile Manipulation

- Open-source robotics and foundation models have lowered the barrier to embodied AI, yet language-guided laboratory automation still requires reliable alignment from instructions and observations to...

Fact-Check Your Information (FYI): A Design Probe to Understand How People Actually Fact-Check Data-Driven Articles

- Data-driven journalism and policy reports frequently rely on statements grounded in statistical evidence, referred to as data claims. Verifying such a claim requires connecting it to the underlying...

CyberLLM: A Multi-Agent LLM Framework for Autonomous Detection and Guarded Response in Automotive Cybersecurity

- Software-Defined Vehicles (SDVs) expand the automotive attack surface across source code, runtime logs, and deployment topologies, while safety constraints forbid autonomous agents from acting...

CyberForge: Verified Vulnerability Injection at Repository Level for Cybersecurity Agent Training

- Despite recent advances, frontier large language model (LLM) agents remain limited in discovering and patching complex vulnerabilities in real-world software. Generally available agents can already...

CUDA-L2: Surpassing cuBLAS Performance for Matrix Multiplication through Reinforcement Learning

- In this paper, we propose CUDA-L2, a system that combines large language models (LLMs) and reinforcement learning (RL) to automatically optimize Half-precision General Matrix Multiply (HGEMM) CUDA...

Tracing the Heart: An Evidence-Linked Pipeline for Heart-Failure Feature Engineering

- Electronic health record (EHR) feature engineering is a major bottleneck in clinical research and AI, accounting for 39-45% of data scientists' workload. This is especially pronounced in heart...

Investigating Artificial Intelligence Digital Sovereignty in Mobile Shopping Apps: A Case Study of Nigeria

- The use of e-commerce mobile applications is expanding in Nigeria, creating both opportunities and risks, including fraud and reduced user control over digital technologies, raising concerns about...

CyberBridge: Bridging the Gap Between Cybersecurity Education and Industry

- This full research paper presents CyberBridge, a framework that automatically maps cybersecurity job descrip- tions to professional role profiles. As the cybersecurity landscape evolves rapidly, it...

A System for Train Condition Monitoring and Structural Health Assessment of Rail Vehicles

- The ongoing digitalization of rail systems and the increasing use of artificial intelligence (AI) are fundamentally transforming the design, operation, and maintenance of rail vehicles. While fully...

Challenges for Musical Education in the Age of AI and Digital Transformation

- Music education has never been a static discipline. Each major technological shift has forced educators and institutions to reconsider what they teach, how they teach it, and why. We now stand at...

Teaching Intro AI When the Tools Can Do the Homework: A Course Redesign and a Student Bill of Rights

- Large language models can complete most of the assignments in an introductory artificial intelligence course. This paper is an experience report on redesigning one such course, CSS~382 at the...

Agentic Nesting: A New Methodology for Existing Enterprise Application Integration and Services

- Enterprise operations extensively rely on multiple heterogeneous business systems and information applications, which also result in severe data silos and process fragmentation. Enterprises have...

RepairFormer: Automated Repair of Structured Inputs Using Transformers

- Structured input files such as JSON, DOT, OBJ, INI, S-expression, and TinyC are widely used in software systems, but small corruptions can cause parsers to reject otherwise useful data. Repairing...

Hardware Design and Security in the Era of Chiplets and LLMs

- The semiconductor industry is undergoing a dual revolution: the shift toward heterogeneous 2.5D chiplet systems and the integration of Large Language Models (LLMs) into Electronic Design Automation...

ORACLE: A Multi-Objective Reinforcement Learning-Based Analog Circuit Design Optimizer with Large Language Models-Guided Exploration

- Analog circuit design automation using reinforcement learning (RL) has emerged as a promising approach for reducing manual effort. However, many existing RL-based methods focus on single-objective...

CheMLFlow: An Open-Source Platform for Cheminformatics and Materials Informatics Applications

- CheMLFlow is an open-source platform for building and executing end-to-end, high-throughput, and agentic workflows for scientific and technological applications. CheMLFlow targets a common bottleneck...

Transforming Remanufacturing Automation with Large Language Models: A Forward-Looking Analysis with Case Studies

- With growing concerns about resource scarcity and environmental degradation, remanufacturing of end-of-life (EoL) products within the circular economy is attracting increasing attention....

A Cost-Aware Probability Monad for Liquid Haskell

- Probabilistic algorithms and data structures are widely used to obtain favourable expected performance guarantees. While their mathematical analysis is often well understood, mechanising...

A GitOps-Driven Annotation Catalog for Fully Automatic Railway Operations

- Automatic train operation (ATO) at grade of automation 3 and above (GoA3-GoA4) requires robust AI-based perception systems capable of reliably detecting obstacles and railway-specific objects under...

Enabling Urgency-aware Robot Swarm Intralogistics using Smart IoT Tags

- Warehouse items differ in how urgently they must be moved: perishable goods, pharmaceutical shipments, and just-in-time production materials must be delivered sooner than the rest of the stock....