Version 1.1.1 of From Neuron to Bedside, a free interactive neuroscience textbook for high school students and future doctors. What's in the book: 16 chapters, 16 interactive simulations, 253 concepts in the learning graph, 160 quiz questions, a clinical case in every chapter, a Brain Bee strategy guide with a 50-quest...
Aaryav Sharma· Zenodo (CERN European Organi...· 0 citations
Generative Resonance Macroeconomics (GRM) Ⅰ. Short Description Generative Resonance Macroeconomics (GRM) proposes a theoretical framework that redefines economic sustainability as the continuous regeneration of future economic possibilities rather than the indefinite preservation of existing structures. Integrating gen...
Kazunori Ohumi· Zenodo (CERN European Organi...· 0 citations
Purpose: To systematically review the integration of generative artificial intelligence (GenAI) in MRI-based brain tumor management and evaluate its impact on detection, segmentation, diagnosis, treatment planning, and outcome prediction. The review addresses the research question like How effectively can GenAI enhance...
This chapter addresses essential questions of how to govern and deploy generative artificial intelligence (GenAI) responsibly in connected and autonomous vehicles (CAV) by examining principles guiding responsible system design, regulatory frameworks shaping technology deployment, and methodological practices supporting...
Kyungtae Han· 0 citations
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Generative artificial intelligence (GenAI) is increasingly transforming how tourists search for information, plan itineraries, and make travel decisions. However, limited qualitative research explains how tourists negotiate their agency when AI becomes actively involved in travel decision-making. This study explores ho...
Fatimah Abdulaziz Alshiha Muhammad Awais Bhatti· Journal of Qualitative Resea...· 0 citations
The digital transformation of small and medium-sized enterprises (SMEs) requires tools that can diagnose, explain, and improve communication management without relying on massive datasets or expensive infrastructures. This paper develops an artificial-intelligence (AI)-based technology for diagnosing digital communicat...
Abstract—Modern deep neural networks, particularly autoregressive Large Language Models (LLMs), have achieved state-of-the-art empirical performance across natural language generation, semantic translation, and broad pattern recognition. However, pure statistical connectionist architectures suffer from fundamental epis...
Pratiyush, Mayank Singh, Vishal Shrivastava et al.· Zenodo (CERN European Organi...· 0 citations
This study examines how Artificial Intelligence (AI) use affects students' critical thinking skills in learning. The study uses a quantitative, explanatory research design. The study population consisted of students in the Economics Education Study Program who used AI-based applications for learning. The study collecte...
Miftah Rakhmadian, Haris Amrullah, Adittya Junaidi Pria Pratama et al.· Educational Journal of Learn...· 0 citations
Background: Innovation in artificial intelligence (AI) in sports medicine integrates algorithms, sensors, computer vision, predictive analytics and decision-support systems to improve athlete health, performance, safety and competitive fairness. Objective: To reconstruct the historical development of AI and emerging te...
Antonio Eugenio Rivera Cisneros, Jimena Prado Peláez, Gloria Vargas Sánchez et al.· Ibero Ciencias - Revista Cie...· 0 citations
Polyploidy, or whole genome duplication, reshapes genomes through biased gene loss and regulatory rewiring, yet the drivers of biased fractionation among subgenomes remain unclear. Using maize and Brassica rapa as model allopolyploids, we compiled 60 genomic and epigenomic features in maize and 45 in B. rapa and constr...
Layla A. Schuster, Beibei Liu, José Cleydson F. Silva et al.· Zenodo (CERN European Organi...· 0 citations
This study provides the first large-scale, longitudinal bibliometric mapping of artificial intelligence research in algorithmic trading, covering more than three decades of scientific production, and uniquely integrates publication trends, citation impact, collaboration networks, and thematic clustering within a single...
Aref Mahdavi Ardekani, D. Dupré, María Luisa Medrano-García et al.· European Journal of Manageme...· 0 citations
An AI-powered adaptive learning platform designed to provide personalized and interactive learning support that uses Artificial Intelligence to explain questions in detail, generate short exam-oriented answers and recall keywords, analyze students' performance, identify knowledge gaps, and recommend suitable learning t...
Pranav Kohad, Rahul Tiwari, Swara Paliwal et al.· International Journal for Re...· 0 citations
A new computational approach reveals how cells communicate to assemble into tissues. This could accelerate stem cell engineering, improve disease models, and inform therapies.
MIT News · Artificial Intelligence· news.mit.eduOct 15, 2026
AI is moving beyond impressive demos. After World Summit AI 2026 in Amsterdam, GPT-Lab's Muhammad Waseem reflects on what organizations need to make AI agents reliable, responsible and genuinely useful in everyday work. The post Building trustworthy AI: The role of AI harnesses, intent contracts and evals appeared first on GPT-Lab.
Learn how Google DeepMind and GovTech Singapore uses lightweight on-device Gemma models to intercept conversational scams in private chats with zero cloud data egress.
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