Semantic Alignment of Multilingual Knowledge Graphs via Contextualized Vector Projections
arXiv:2601.00814v1 Announce Type: new
Abstract: The paper presents our work on cross-lingual ontology alignment system which uses embedding based cosine similarity matching. The ontology entities are made contextually richer by creating descriptions using novel techniques. We use a fine-tuned trans...
MathLedger: A Verifiable Learning Substrate with Ledger-Attested Feedback
arXiv:2601.00816v1 Announce Type: new
Abstract: Contemporary AI systems achieve extraordinary performance yet remain opaque and non-verifiable, creating a crisis of trust for safety-critical deployment. We introduce MathLedger, a substrate for verifiable machine cognition that integrates formal ver...
Evaluating Anomaly Detectors for Simulated Highly Imbalanced Industrial Classification Problems
arXiv:2601.00005v1 Announce Type: new
Abstract: Machine learning offers potential solutions to current issues in industrial systems in areas such as quality control and predictive maintenance, but also faces unique barriers in industrial applications. An ongoing challenge is extreme class imbalance...
Yahtzee: Reinforcement Learning Techniques for Stochastic Combinatorial Games
arXiv:2601.00007v1 Announce Type: new
Abstract: Yahtzee is a classic dice game with a stochastic, combinatorial structure and delayed rewards, making it an interesting mid-scale RL benchmark. While an optimal policy for solitaire Yahtzee can be computed using dynamic programming methods, multiplaye...
IMBWatch -- a Spatio-Temporal Graph Neural Network approach to detect Illicit Massage Business
arXiv:2601.00075v1 Announce Type: new
Abstract: Illicit Massage Businesses (IMBs) are a covert and persistent form of organized exploitation that operate under the facade of legitimate wellness services while facilitating human trafficking, sexual exploitation, and coerced labor. Detecting IMBs is ...
Finetuning Large Language Models for Automated Depression Screening in Nigerian Pidgin English: GENSCORE Pilot Study
arXiv:2601.00004v1 Announce Type: new
Abstract: Depression is a major contributor to the mental-health burden in Nigeria, yet screening coverage remains limited due to low access to clinicians, stigma, and language barriers. Traditional tools like the Patient Health Questionnaire-9 (PHQ-9) were val...
Network Traffic Analysis with Process Mining: The UPSIDE Case Study
arXiv:2512.23718v1 Announce Type: new
Abstract: Online gaming is a popular activity involving the adoption of complex systems and network infrastructures. The relevance of gaming, which generates large amounts of market revenue, drove research in modeling network devices' behavior to evaluate bandw...
A Comprehensive Study of Deep Learning Model Fixing Approaches
arXiv:2512.23745v1 Announce Type: new
Abstract: Deep Learning (DL) has been widely adopted in diverse industrial domains, including autonomous driving, intelligent healthcare, and aided programming. Like traditional software, DL systems are also prone to faults, whose malfunctioning may expose user...
A philosopher at the University of Cambridge says there’s no reliable way to know whether AI is conscious—and that may remain true for the foreseeable future. According to Dr. Tom McClelland, consciousness alone isn’t the ethical tipping point anyway; sentience, the capacity to feel good or bad, is ...
A Survey of Freshness-Aware Wireless Networking with Reinforcement Learning
arXiv:2512.21412v1 Announce Type: new
Abstract: The age of information (AoI) has become a central measure of data freshness in modern wireless systems, yet existing surveys either focus on classical AoI formulations or provide broad discussions of reinforcement learning (RL) in wireless networks wi...
A Study of Solving Life-and-Death Problems in Go Using Relevance-Zone Based Solvers
arXiv:2512.21365v1 Announce Type: new
Abstract: This paper analyzes the behavior of solving Life-and-Death (L&D) problems in the game of Go using current state-of-the-art computer Go solvers with two techniques: the Relevance-Zone Based Search (RZS) and the relevance-zone pattern table. We examined...
Three-way decision with incomplete information based on similarity and satisfiability
arXiv:2512.21421v1 Announce Type: new
Abstract: Three-way decision is widely applied with rough set theory to learn classification or decision rules. The approaches dealing with complete information are well established in the literature, including the two complementary computational and conceptual...
A new superconductor breaks rules physicists thought were fixed
A shiny gray crystal called platinum-bismuth-two hides an electronic world unlike anything scientists have seen before. Researchers discovered that only the crystal’s outer surfaces become superconducting—allowing electrons to flow with zero resistance—while the interior remains ordinary metal. Even...
This tiny chip could change the future of quantum computing
A new microchip-sized device could dramatically accelerate the future of quantum computing. It controls laser frequencies with extreme precision while using far less power than today’s bulky systems. Crucially, it’s made with standard chip manufacturing, meaning it can be mass-produced instead of cu...
Scientists in Japan have confirmed that ultra-thin films of ruthenium dioxide belong to a newly recognized and powerful class of magnetic materials called altermagnets. These materials combine the best of two magnetic worlds: they’re stable against interference yet still allow fast, electrical reado...
A Christmas tree 80 light-years wide appears in space
This Christmas, astronomers are highlighting a spectacular region of space that looks remarkably like a glowing holiday tree. Known as NGC 2264, this distant star-forming region sits about 2,700 light-years away and is filled with newborn stars lighting up clouds of gas and dust. The stars form a tr...
Proceedings of the 20th International Conference on Knowledge, Information and Creativity Support Systems (KICSS 2025)
arXiv:2512.20628v1 Announce Type: new
Abstract: This volume presents the proceedings of the 20th International Conference on Knowledge, Information and Creativity Support Systems (KICSS 2025), held in Nagaoka, Japan, on December 3-5, 2025. The conference, organized in cooperation with the IEICE Pro...
arXiv:2512.16928v1 Announce Type: new
Abstract: The Muon optimizer enjoys strong empirical performance and theoretical grounding. However, the super-linear cost of its orthonormalization step introduces increasing overhead with scale. To alleviate this cost, several works have attempted to reduce t...