By 2026, generative artificial intelligence (AI) infrastructure expansion has collided with hard physical and grid-regulatory walls. International Energy Agency (IEA) projections indicate global data center electricity consumption surging from 460 TWh (2024) to > 1,000 TWh by 2030 (~320 Mt CO2/yr) and 1,300 TWh by 2035...
Yoko Hasebe· Zenodo (CERN European Organi...· 0 citations
Generative artificial intelligence (GenAI), synthetic media, social bots, and agentic AI are turning information disorder from a content-verification problem into a governance problem for multimedia information ecosystems. Research on fake news, deepfakes, GenAI misuse, and cyber-enabled influence has developed in larg...
Elyson De La Cruz, Ruthvik Yedla, Dexter Francis et al.· Preprints.org· 0 citations
Code, logs and result tables for the manuscript "Inflammatory activity poorly predicts tissue-forming transcription in stromal cells of human apical periodontitis". The archive (apscrna_public_v1.0.zip) contains the complete analysis pipeline used to reprocess public single-cell RNA-sequencing data from eight human chr...
Shigeki Suzuki· 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
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This article proposes a pedagogical model, and a web tool built on it, for constructing prompts by educational material category so that teachers and researchers can work effectively with artificial intelligence (large language models). The relevance of the study stems from the fact that the quality of a generative mod...
Qosimova Umida· Zenodo (CERN European Organi...· 0 citations
This paper argues that the denial of copyright and moral rights to works substantially shaped by human expressive judgment in generative AI systems produces two interrelated harms: the incentive to conceal AI involvement (“trace forgery”) and the proliferation of low-quality content (“flooding”). Drawing on R. G. Colli...
Carter· Zenodo (CERN European Organi...· 0 citations
This chapter introduces the fundamental distinction between generative and discriminative AI, establishing the conceptual foundation for understanding how generative models enable transformative capabilities in connected and autonomous vehicles (CAVs). Unlike traditional discriminative systems that classify inputs into...
The increasing integration of Generative Artificial Intelligence (GenAI) in English language teaching calls for an immediate and thorough response from language teachers. Employing an exploratory qualitative approach, the study explores how 10 English language instructors at a Chinese university integrate GenAI tools i...
Yuwei Wan, Benjamin Luke Moorhouse· Language Teaching Research· 0 citations
Faculty feedback is vital for the professional growth of learners. Barriers such as faculty’s confidence in their feedback skills and time limitations may inhibit the provision of quality feedback. Generative large language models (LLMs), such as ChatGPT, have the potential to support faculty in providing high-quality...
Bonnie Desselle, Emma Simon, Amy Prudhomme et al.· BMC Medical Education· 0 citations
Generative AI has entered software work with remarkable speed, yet trust in its output remains unsettled. This study examines how developers and learners navigate AI-assisted software work through mental models and trust. Analyzing 40,052 responses from the 2025 Stack Overflow Developer Survey, the findings reveal a du...
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...
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.
MIT News · Artificial Intelligence· news.mit.eduOct 13, 2026
