artificial intelligence

Landauer as a Bounding Assumption: Information-Processing Energy Limits, the REC Accounting Gap, and What Cannot Be Concluded

Abstract. Claims that artificial intelligence approaches a planetary thermodynamic boundary routinely conflate four quantities: the Landauer lower bound per irreversible bit erasure (Q1), measured hardware efficiency η (Q2), physically available electricity (Q3), and renewable-energy-certificate accounting (Q4). This p...

Anatomical Review: Optimizing and Harnessing Workflows — A Section-by-Section Reading of Noguer i Alonso (2026), Task-Specific Combinations of Humans, Software, and AI Agents

This anatomical review systematically dissects Noguer i Alonso's (2026) framework for hybrid workflows integrating human decision makers (H), specified computational procedures (D), and adaptive artificial delegates (A). The paper advances a principled account of agentification, deagentification, automation, and harnes...

qcGEM: A Graph‐Based Molecular Representation With Quantum Chemistry Awareness

The advancement of artificial intelligence (AI) has reshaped drug discovery. AI-based models typically rely on molecular representations for prediction. However, the absence of physically grounded information in mainstream molecular representations not only limits the model performance in practical applications but als...

Explainable Decision Graphs for Trustworthy Autonomous Multi-Agent Systems

Addressing climate change in the age of artificial intelligence: three registers of human rights struggles

Consumer Responses to AI-Generated Marketing Content: Evidence from an Experimental Survey

The rapid development of generative artificial intelligence (AI) has created new opportunities for digital marketing, particularly in short video advertising. However, consumer acceptance of AI-generated advertisements remains uncertain because of the concerns over authenticity, trust and emotional connection. This stu...

THE CYBER-PHYSICAL INTELLIGENCE SECURITY FRAMEWORK FROM QUANTUM CRYPTOGRAPHY TO CRITICAL INFRASTRUCTURE PROTECTION A Unified Theory of Artificial Intelligence, Cybersecurity, Critical Infrastructure, Physics, Mathematics, and Cyber Law

The Cyber-Physical Intelligence Security Framework: From Quantum Cryptography to Critical Infrastructure Protection by Dr. Mohamed Kamal Arafa El-Rakhawi (DOI: 10.5281/zenodo.23460734) establishes Cyber-Physical Intelligence Security as a groundbreaking academic field integrating artificial intelligence, cybersecurity,...

Using AI to Build Student Feedback Literacy and Leverage Assessment as a Learning Tool

This conceptual article explores practical ways in which college and university instructors can leverage artificial intelligence (AI) to support assessment as learning and develop students’ feedback literacy. Traditional assessment practices often focus on assessment for learning (informing instruction) or of learning...

Leading Continuous Improvement: Generative Artificial Intelligence and Assessment in Higher Education

Assessment is most powerful when understood as a leadership-driven process of continuous improvement—iterative, evidence-informed, and oriented toward genuine learning rather than compliance. However, the coordination costs of meaningful assessment have historically exceeded most programs’ capacity to sustain it. This...

Transformasi Manajemen SDM di Era Digitalisasi : Analisis Pengaruh Teknologi AI dan Fleksibilitas Kerja terhadap Produktivitas Karyawan

Transformasi digital mendorong organisasi mengubah cara mengelola sumber daya manusia (SDM), termasuk melalui penggunaan artificial intelligence (AI), sistem informasi SDM, dan pengaturan kerja yang lebih fleksibel. Artikel ini bertujuan menelaah bagaimana pemanfaatan AI dan fleksibilitas kerja berkaitan dengan produkt...

Cholangiocarcinoma in clinical practice: advances and unmet needs

Abstract Cholangiocarcinomas (CCAs) are a broad category of lethal cancers that arise in the biliary tree. After hepatocellular carcinoma (HCC), CCA is the second most common primary hepatic malignancy, making up 15% of all primary liver tumors. Their prognosis is poor because they are frequently diagnosed in advanced...

THE CHEMICAL ALGORITHMIC INTELLIGENCE FRAMEWORK FROM QUANTUM MOLECULES TO REGULATORY COMPLIANCE A Unified Theory of Artificial Intelligence, Computational Chemistry, Algorithmic Design, and Chemical Law

The Chemical Algorithmic Intelligence Framework: From Quantum Molecules to Regulatory Compliance by Dr. Mohamed Kamal Arafa El-Rakhawi (DOI: 10.5281/zenodo.23460404) establishes Chemical Algorithmic Intelligence as a groundbreaking academic field integrating artificial intelligence, computational chemistry, algorithmic...