artificial intelligence

SpireBench: Evaluating Long-Horizon Strategic Play of Agentic Models with Slay the Spire

Agentic large language models now tackle complex tasks, yet strategic reasoning over long horizons is under-studied: most agentic benchmarks are short and episodic, and performance on long tasks is hard to dissect into stored knowledge, reasoning and luck. We introduce SpireBench, in which models play the complete comm...

Know What You Don't Know: Agentic Data Synthesis by Evolving Generation Space for Closed-Loop Learning

EvoSyn is proposed, a learning-feedback-driven multi-agent framework that organizes synthesis around a revisable state specifying what interaction factors can be deliberately generated and where synthesis effort should be allocated.

Equal-Budget Monte Carlo Tree Search versus Randomized-Restart List Scheduling for DAG Workflows: A Controlled Equal-Budget Computational Study

Monte Carlo Tree Search (MCTS) is often proposed for scheduling directed-acyclic-graph (DAG) workflows, yet most studies never run the comparison that could refute it - giving a much simpler method the same search effort. We run that comparison under a controlled protocol. All arms receive an identical budget - the sam...

EliteTable: Self-Improving Program Search for Executable Control Policies

EliteTable is a self-improving program-search algorithm guided by large language models (LLMs) that uses a fixed-capacity table of high-scoring solutions to guide new proposals, edits of existing solutions, and remixes of several solutions. Performance was evaluated across six Gymnasium control tasks, each with ten gen...

Faithfulness Without Anchors: A Position Paper on the Structural Misalignments of Explainable AI Faithfulness Metrics for Feature Importance

Explainable Artificial Intelligence (XAI) tools have often been presented as methods to increase trust in machine learning models by making aspects of their algorithms more human-understandable. However, evidence accumulated over the last decade points to an overall failure of this objective, instead promoting overreli...

Transformasi Matriks Kompetensi-Strategi di Era Digital: Systematic Literature Review tentang Integrasi Kebutuhan Bisnis dan Pengembangan SDM

Digital transformation changes the competencies organizations need, so competency matrices must be rethought as tools linking business needs with human resource (HR) development. This study synthesizes how the competency-strategy matrix is transformed in the digital era. A systematic literature review (SLR) following P...

[Precision fluid management and artificial intelligence-assisted decision-making in severe pneumonia induced septic shock].

Severe pneumonia-induced septic shock is one of the most representative complex syndromes in pulmonary critical care medicine. Its pathophysiology results from the combined effects of alveolar-capillary barrier injury, infection-associated vasodilation, microcirculatory perfusion abnormalities, cardiopulmonary interact...

[Artificial intelligence-driven early warning for severe pneumonia: pathways and challenges from data integration to clinical decision-making].

Severe pneumonia, characterized by rapid progression and high heterogeneity, is a leading cause of patient mortality. Early identification of high-risk patients is crucial for improving outcomes. Traditional risk stratification tools, such as CURB-65 score and pneumonia severity index (PSI), primarily rely on static va...

[Acute respiratory distress syndrome secondary to severe pneumonia: how to perform precise and individualized assessment].

Severe pneumonia is the most common cause of acute respiratory distress syndrome (ARDS), and precise and individualized assessment is a prerequisite for improving therapeutic outcomes. Of all bedside assessment tools, respiratory physiological indicators are the most readily available and widely adopted, covering key m...

First AI for Drinking Water Chlorination Challenge

Water distribution systems (WDS) are vital for urban societies by providing clean and safe drinking water. Water utilities have to carefully control the injection of disinfectants such as chlorine to effectively deal with natural contaminants and accidental pollution affecting the drinking water quality. This, howeve...

5G and Beyond: IoT Support in Next-Generation Networks

The key characteristics of 5G that make it a perfect platform for the IoT are highlighted, including Ultra Low Latency (ULT), enhanced Mobile Broadband (eMBB), as well as Massive Machine-to-Machine (mMTC) Communication.

Machine learning and artificial intelligence models and techniques in modern power grid communication architecture: A survey of technology, research gaps, applications, and sustainable solution