generative ai

Artificial Intelligence-Assisted Herbal Formulation Development: From Phytochemical Intelligence to Predictive Nanodelivery and Precision Phytotherapy

Herbal medicines constitute a chemically diverse source of bioactive molecules and remain important components of traditional and complementary healthcare systems. However, the development of reproducible pharmaceutical formulations from herbal materials is complicated by variability in botanical identity, geographical...

Towards AI-Augmented Software Engineering Automated Code Generation, Formal Verification, and Sustainable Maintenance

Toward a framework of “Synthetic Credentialism”: AI-Generated competence signals and the crisis of academic certification

Artificial intelligence and Latin: technological innovation in the service of classical tradition

Abstract This work focuses on an educational project for third-year students in Italian classical high schools, integrating generative artificial intelligence (AI) into the study of Latin. Using tools like ChatGPT, the project explores innovative methods to enhance linguistic and cultural understanding while promoting...

Protecting the Learner in the Age of Artificial Intelligence: An Educational Psychology Policy Agenda for Student Well-Being, Agency and Resilience in Sub-Saharan Africa

Background Artificial intelligence (AI) is rapidly changing education through generative AI, adaptive learning systems, automated assessment, intelligent teaching, and data-driven learning support. More and more AI-powered systems are mediating learning, communication, information searching, and, in some cases, emotion...

AI-EMPOWERED TEACHING REFORM OF OPERATIONS RESEARCH ORIENTED TOWARD DIGITAL TALENT DEVELOPMENT

Against the backdrop of the deepening digital economy and the pervasive penetration of artificial intelligence (AI) into all sectors, social demand for versatile digital talent continues to rise. Operations research (OR), a core foundational course for majors such as management science and engineering and business admi...

The Free-Energy Architecture of Discovery-Capable Intelligence

Large language models optimise fluently inside a fixed representational space but do not reliably produce genuine discovery; the field has treated this as a tuning problem. We argue it is an architectural one, and we derive the required architecture from first principles rather than inferring it from current systems. T...

The Evolution of NVIDIA AI Accelerators and Their Impact on Artificial Intelligence Model Performance: A Comparative Analysis of NVIDIA A100, H100, H200, and Blackwell Architectures

The fast development of artificial intelligence (AI), especially in deep learning, generative AI, and large language models (LLMs), has increased the need for powerful computing hardware. GPUs and special AI accelerators have become an important part of modern AI systems. NVIDIA has been one of the main companies contr...

AΙ-Driven Interventions for Neurocognitive, Self-Regulation, and Adaptive Skill Development in Neurodevelopmental and Cognitive Disorders: A Systematic Review of Randomized Controlled Trials

Background: Artificial intelligence (AI) is increasingly being used in interventions among individuals with neurodevelopmental and cognitive disorders, offering personalized and adaptive approaches that advance traditional therapeutic practices. Although previous reviews have focused on symptom detection or alleviation...

Cognitive Firewall Collapse: Speed Bypass, Rational Delegation and Selection Pressure in Assisted-learning

Background. Generative AI can raise task performance while leaving metacognitive calibration, unaided performance, or skill formation unchanged or impaired. Existing work names the accompanying drop in reflection "metacognitive laziness", a label that locates the problem in learner effort and directs intervention towar...

Agentic AI, medical morality and the transformation of the patient–physician relationship

Agentic artificial intelligence (AI) is an emerging development in the digital transformation of healthcare. Unlike conventional generative AI, agentic AI systems can perform autonomous, goal-directed actions and coordinate complex tasks. They promise to support or even collaborate with clinicians and patients in incre...

Decision Support in Publicly Available Patient Information Policies at U.S. Osteopathic Medical Schools: A Vignette-Based Document Analysis

Research Objectives: To evaluate whether publicly available institutional guidance supports patient-information decisions across scenarios and schools, and characterize document synthesis and evaluation consistency. Methods: We conducted an exploratory, vignette-based document analysis of a geographically diverse nonpr...