Stay updated with the latest research and technology news
arXiv:2601.17534v1 Announce Type: new Abstract: The AI-native vision of 6G requires Radio Access Networks to train, deploy, and continuously refine thousands of machine learning (ML)...
arXiv:2601.17535v2 Announce Type: new Abstract: Vision-Language Models like CLIP create aligned embedding spaces for text and images, making it possible for anyone to build a...
arXiv:2601.17536v1 Announce Type: new Abstract: Despite the tremendous success of neural networks, benign images can be corrupted by adversarial perturbations to deceive these models. Intriguingly,...
arXiv:2601.17537v1 Announce Type: new Abstract: The theory of higher-dimensional automata (HDAs) has seen rapid progress in recent years, and first applications, notably to Petri net...
arXiv:2601.17538v2 Announce Type: new Abstract: Participatory Budgeting (PB) is commonly studied from an axiomatic perspective, where the aim is to design procedurally fair and economically...
arXiv:2601.17540v1 Announce Type: new Abstract: The rapid advancements in large language models (LLMs) have revolutionized natural language processing, unlocking unprecedented capabilities in communication, automation, and...
arXiv:2601.17542v1 Announce Type: new Abstract: Modern DevOps practices have accelerated software delivery through automation, CI/CD pipelines, and observability tooling,but these approaches struggle to keep pace...
arXiv:2601.17543v1 Announce Type: new Abstract: In this paper, we take a close look at how CTF can be used in cybersecurity education. We divide the...
arXiv:2601.17546v1 Announce Type: new Abstract: Enterprises increasingly adopt multi cloud architectures to take advantage of diverse database engines, regional availability, and cost models. In these...
arXiv:2601.17548v1 Announce Type: new Abstract: The proliferation of agentic AI coding assistants, including Claude Code, GitHub Copilot, Cursor, and emerging skill-based architectures, has fundamentally transformed...
arXiv:2601.17549v1 Announce Type: new Abstract: The Model Context Protocol (MCP) has emerged as a de facto standard for integrating Large Language Models with external tools,...
arXiv:2601.17550v1 Announce Type: new Abstract: Autonomous aerial navigation in absolute darkness is crucial for post-disaster search and rescue operations, which often occur from disaster-zone power...
arXiv:2601.17551v1 Announce Type: new Abstract: Large language models (LLMs) demonstrate remarkable capabilities, but their broad deployment is limited by significant computational resource demands, particularly energy...
arXiv:2601.17553v1 Announce Type: new Abstract: Low back pain (LBP) is a pervasive global health challenge, affecting approximately 80% of adults and frequently progressing into chronic...
arXiv:2601.17555v1 Announce Type: new Abstract: The compression of satellite imagery remains an important research area as hundreds of terabytes of images are collected every day,...
arXiv:2601.17556v1 Announce Type: new Abstract: We consider the problem of vision-based pose estimation for autonomous systems. While deep neural networks have been successfully used for...
arXiv:2601.17558v1 Announce Type: new Abstract: This paper presents an open-source software application for analyzing traffic camera footage, focusing on vehicle behavior and braking events at...
arXiv:2601.17561v1 Announce Type: new Abstract: Among biometric verification systems, irises stand out because they offer high accuracy even in large-scale databases. For example, the World...
arXiv:2601.17562v1 Announce Type: new Abstract: This work presents a systematic analysis and extension of the sparse radial basis function network (SparseRBFnet) previously introduced for solving...
arXiv:2601.17563v1 Announce Type: new Abstract: State-of-the-art imitation learning from observation methods (ILfO) have recently made significant progress, but they still have some limitations: they need...
arXiv:2601.17564v1 Announce Type: new Abstract: The Abstraction and Reasoning Corpus (ARC) tests AI systems' ability to perform human-like inductive reasoning from a few demonstration pairs....
arXiv:2601.17566v1 Announce Type: new Abstract: Enabling large language models (LLMs) to solve complex reasoning tasks is a key step toward artificial general intelligence. Recent work...
arXiv:2601.17567v1 Announce Type: new Abstract: Trending news detection in low-traffic search environments faces a fundamental cold-start problem, where a lack of query volume prevents systems...
arXiv:2601.17569v1 Announce Type: new Abstract: Personalization is crucial for aligning Large Language Model (LLM) outputs with individual user preferences and background knowledge. State-of-the-art solutions are...