artificial intelligence

The Persistence Imperative

Abstract The Persistence Imperative proposes that the preservation of organized information constitutes a fundamental problem encountered by physical systems, biological organisms, intelligent agents, and technological civilizations. Across these domains, increasing organizational complexity produces both improved adap...

PELATIHAN PROMPT ENGINEERING DAN PENGEMBANGAN WEBSITE UNTUK PENGUATAN KAPASITAS DIGITAL SISWA SMK SEMEN GRESIK

Akselerasi perkembangan teknologi Artificial Intelligence (AI) yang masif menuntut peningkatan kapasitas digital siswa kejuruan agar adaptif. Kegiatan pengabdian kepada masyarakat ini bertujuan untuk meningkatkan literasi digital dan keterampilan praktis siswa SMK Semen Gresik dalam mengembangkan website menggunakan AI...

The Role of Clinical Pharmacists in Translating Regulatory Acceptance of Biosimilars into Routine Clinical Practice

Advances in analytical characterisation, functional assays, pharmacokinetic evaluation and manufacturing science have enabled regulatory agencies to increasingly rely on the totality of evidence, reducing the need for comparative clinical efficacy trials in scientifically justified circumstances. Consequently, the prin...

Intraoperative artificial intelligence for brain tumor surgery: from tissue diagnosis to real-time surgical guidance

The 2021 WHO CNS tumor classification marked a fundamental shift in neuro-oncology: molecular markers rather than histological appearance now define glioma diagnosis and guide treatment. Yet, in clinical practice the molecular information that matters most to a surgeon—IDH status, 1p/19q codeletion, and methylation cla...

The Use of Generative AI in Second Language Writing: Opportunities, Challenges, and Future Directions

The development of generative artificial intelligence (GenAI) is reshaping second language (L2) writing by introducing new forms of interaction between learners and intelligent technologies. This conceptual paper examines the potential opportunities and critical challenges of GenAI in L2 writing, drawing on a purposive...

Trends in Artificial Intelligence Development in Latin American Countries: Defense Sector and Military Education

Artificial intelligence in comprehensive management of colorectal cancer liver metastases: Advances and challenges

Peer Review Report For: Teacher-Mediated, Not Learner-Facing: A Bayesian Quasi-Experimental Study of Agentic AI Support in Grade 10 Functions and Graphs [version 1; peer review: 2 approved with reservations]

Background Artificial intelligence (AI) is increasingly being integrated into school mathematics, yet most research has focused on learner-facing systems rather than AI that supports teachers during instruction. This study examined whether teacher-mediated agentic AI could improve Grade 10 learners’ achievement in func...

PENGARUH PENERAPAN TEKNOLOGI ARTIFICIAL INTELLIGENCE DALAM PROSES REKRUTMEN TERHADAP EFEKTIVITAS SELEKSI DAN KEPUASAN PELAMAR

Penerapan kecerdasan buatan (artificial intelligence/AI) dalam rekrutmen diharapkan meningkatkan efisiensi dan konsistensi seleksi, tetapi reaksi pelamar terhadapnya beragam. Penelitian ini bertujuan menguji pengaruh penerapan AI dalam proses rekrutmen terhadap efektivitas seleksi dan kepuasan pelamar. Penelitian mengg...

Artificial intelligence–based tumor detection using stimulated Raman histology in patients undergoing neurosurgical biopsies

OBJECTIVE Intraoperative confirmation of diagnostic tumor tissue is critical in neurosurgical biopsies, particularly in stereotactic procedures, in which sampling error remains a major limitation. Stimulated Raman histology (SRH) enables rapid, label-free tissue imaging directly in the operating room. This study aimed...

The QSOL Symbiotic Loop: A Formal Conceptual Model of Reciprocal Human–AI Adaptation Through Versioned External Context

**Abstract** This conceptual preprint formalises the QSOL Symbiotic Loop, a proposed mechanism of reciprocal human–AI adaptation in sustained interactions between a human researcher and a context-conditioned generative artificial intelligence system. The framework distinguishes two fundamentally different forms of adap...

Artificial intelligence in offshore wind geotechnical engineering: A lifecycle-oriented review

Abstract As offshore wind develops toward deeper waters and larger turbine capacities, geotechnical challenges are becoming increasingly complex, involving more variable seabed conditions, larger foundation dimensions, and stricter lifecycle reliability and cost-control requirements. Accordingly, artificial intelligenc...