Artificial Intelligence (AI) is rapidly transforming the design industry by introducing data-driven, generative, predictive, and automated approaches to creative and technical processes. Interior design, traditionally dependent on human creativity, spatial understanding, material knowledge, and client preferences, is i...
Trushna S. Kalambe· Zenodo (CERN European Organi...· 0 citations
Artificial intelligence presents deep and important philosophical questions, ranging from whether computers can think, whether large language models truly understand language and whether AI can be creative, to moral and political issues, criminal justice, health, and the future of work. In this much-needed book, Donald...
Donald A. Gillies, Marco Fyfe Pietro Gillies· Goldsmiths (University of Lo...· 0 citations
The rapid advancement of generative AI technologies has introduced new threats such as deepfakes, voice cloning, and synthetic behavioral patterns, thereby undermining the reliability of existing mobile authentication systems.Traditional mobile authentication has primarily focused on identifying registered users; howev...
Dong Kil Tak· Asia-pacific Journal of Conv...· 0 citations
Short Description This paper develops Generative Resonance Theory as a macrodynamic explanation of growth and stagnation. It introduces generative resonance intensity, (G=\Phi R), as a state variable describing a society's capacity to connect unrealized possibilities with relational participation. The framework explain...
Kazunori Ohumi· Zenodo (CERN European Organi...· 0 citations
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Restrictions on the use of AI to create images of people in campaign materials affect not only the use of artificial intelligence technologies but, as this article shows, also some traditional approaches to election campaigning.
G. N. Mitin· STATE POWER AND LOCAL SELF-G...· 0 citations
Generative artificial intelligence (GenAI) can now produce visually convincing design proposals in seconds, undermining a basic assumption of product-based grading: that the quality of a final artifact is a reasonable proxy for the quality of the thinking behind it. This paper addresses the resulting assessment gap in...
Fatma Kaya Orhon, Kamil Çekerol, Serap Uğur· 0 citations
Generative artificial intelligence (GenAI) is increasingly involved in the production, transformation and circulation of cultural content. In the Arts and Humanities, this development raises questions that extend beyond the technical operation of AI systems: how should students, researchers and cultural practitioners e...
Generative artificial intelligence (GenAI) is increasingly involved in the production, transformation and circulation of cultural content. In the Arts and Humanities, this development raises questions that extend beyond the technical operation of AI systems: how should students, researchers and cultural practitioners e...
Supplementary data for the critical review "Artificial Intelligence Methods for Automating Literature Review Workflows," which analyses 191 publications from 2016 to 2025 and maps methods, evaluation practices, and validation maturity across seven literature-review workflow phases. This deposit contains the complete st...
Rooshan Saleem Butt, Misbah Ghalib, Matteo Perillo et al.· Zenodo (CERN European Organi...· 0 citations
Artificial Intelligence (AI) has emerged as a transformative technology in the Information Technology (IT) sector, influencing the way organizations perform business operations, deliver services, and manage human resources. The increasing adoption of AI, automation, machine learning, and generative AI has created oppor...
M Saranya, G Rajeshwari· International Journal of Sci...· 0 citations
This study examines how perceived information quality in a generative artificial intelligence (AI)-driven information environment influences users' media literacy and continuance intention, and tests the mediating role of media literacy in this relationship.An online survey was conducted among 536 adults aged 18 and ab...
Xue Meng Hui· Asia-pacific Journal of Conv...· 0 citations
StudentSim is a research system for evaluating and improving AI tutoring tools before they are tested with learners. It models how individuals may engage with tutors, giving feedback to improve tutor performance across subjects like chess, writing, and mathematics. The post Simulating student learning for better AI tutoring appeared first on Microsoft Research.
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 AI Has Grown Up. Have We? appeared first on GPT-Lab.
MIT News · Artificial Intelligence· news.mit.eduOct 8, 2026
Exploring how generative AI could make machine vision more accessible to businesses. The post GenEye in a Box: Making Machine Vision Something You Can Just Ask For appeared first on GPT-Lab.
MIT News · Artificial Intelligence· news.mit.eduOct 8, 2026
Training AI agents with reinforcement learning can be challenging because their tools, context, and decision-making are managed by complex frameworks. Agent Lightning connects existing agents to RL training, making it easier to improve them without rebuilding them. The post Agent Lightning v1.0: A 3,500-Line Lightweight Agentic RL Framework for Training Agents with Real Harnesses appeared first on Microsoft Research.
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