Latest AI News and Developments

A curated selection of the most significant AI news and developments from trusted sources. Each article is directly linked to its original publication for full context and details.

Design and testing of an agent chatbot supporting decision making with public transport data

Published by arXiv AI on May 30, 2025

arXiv:2505.22698v1 Announce Type: new Abstract: Assessing the quality of public transportation services requires the analysis of large quantities of data on the scheduled and actual trips and documents listing the quality constraints each service needs to meet. Interrogating such datasets with SQL queries, organizing and visualizing the data can be quite complex for most users. This paper...

Enhancing Lifelong Multi-Agent Path-finding by Using Artificial Potential Fields

Published by arXiv AI on May 30, 2025

arXiv:2505.22753v1 Announce Type: new Abstract: We explore the use of Artificial Potential Fields (APFs) to solve Multi-Agent Path Finding (MAPF) and Lifelong MAPF (LMAPF) problems. In MAPF, a team of agents must move to their goal locations without collisions, whereas in LMAPF, new goals are generated upon arrival. We propose methods for incorporating APFs in a range of MAPF algorithms,...

Decomposing Elements of Problem Solving: What "Math" Does RL Teach?

Published by arXiv AI on May 30, 2025

arXiv:2505.22756v1 Announce Type: new Abstract: Mathematical reasoning tasks have become prominent benchmarks for assessing the reasoning capabilities of LLMs, especially with reinforcement learning (RL) methods such as GRPO showing significant performance gains. However, accuracy metrics alone do not support fine-grained assessment of capabilities and fail to reveal which problem-solving skills...

Predicting Human Depression with Hybrid Data Acquisition utilizing Physical Activity Sensing and Social Media Feeds

Published by arXiv AI on May 30, 2025

arXiv:2505.22779v1 Announce Type: new Abstract: Mental disorders including depression, anxiety, and other neurological disorders pose a significant global challenge, particularly among individuals exhibiting social avoidance tendencies. This study proposes a hybrid approach by leveraging smartphone sensor data measuring daily physical activities and analyzing their social media (Twitter)...

The WHY in Business Processes: Unification of Causal Process Models

Published by arXiv AI on May 30, 2025

arXiv:2505.22871v1 Announce Type: new Abstract: Causal reasoning is essential for business process interventions and improvement, requiring a clear understanding of causal relationships among activity execution times in an event log. Recent work introduced a method for discovering causal process models but lacked the ability to capture alternating causal conditions across multiple variants. This...

Sources

This curated overview brings together articles from the following trusted sources:

• arXiv AI

Note: All content is directly sourced from the original publications. Each article is properly cited with links to the original sources. For the most up-to-date information, please visit the original articles through the provided links.