artificial intelligence

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

Studying the effectiveness of the integration of artificial intelligence into Occupational Therapy education through intentional use of case studies.

Artificial Intelligence in Construction Health and Safety Management Systems: An Integrated Framework for Context, Coherence, Accountability and Preventive Performance

Artificial Intelligence in Construction Health and Safety Management Systems examines how artificial intelligence can contribute to occupational health and safety (H&S) management in construction beyond the technical performance of individual applications. Drawing on ISO 45001, HSG65 and an evidence-informed analysis o...

AI-Driven Supply Chain Management in Electronics Manufacturing: A Case Study of the BOMate Platform by Foxconn

Artificial intelligence has become an important driver of transformation in supply chain management (SCM). Existing research has focused primarily on consumer-facing contexts and localized applications such as forecasting, inventory, and logistics. Comparatively less attention has been given to how leading manufacturin...

Who Is ZAI? The Development of a Personal Autonomous Intelligence.

I did not begin ZAI because I wanted another chatbot. I wanted a personal intelligence that could carry its history forward: remember earlier questions, undertake research, work with tools, learn from corrections, and take initiative without making every consequential decision on my behalf. ZAI—Zawwar Autonomous Intell...