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2,298 papers
artificial intelligence (AI) and machine learning (ML) have become general-purpose technologies that are reshaping how organisations make decisions, serve customers, design products and run operations. This chapter provides a management-oriented treatment of the principal AI and ML techniques and of the organisational...
Large language model (LLM) personas are proposed as survey respondents, yet validation outside English-speaking contexts is scarce. We evaluate how well a Korean synthetic persona panel used to condition Gemini 3.5 Flash and EXAONE reproduces digital and artificial intelligence (AI) service-use distributions of the Kor...
Introduction. Generative AI has intensified tensions between news organisations and technology platforms over intellectual property, audience traffic and journalism’s economic sustainability. The report examines how leading Spanish digital media have framed AI since ChatGPT’s emergence, while considering the subsequent...
Introduction. Generative AI has intensified tensions between news organisations and technology platforms over intellectual property, audience traffic and journalism’s economic sustainability. The report examines how leading Spanish digital media have framed AI since ChatGPT’s emergence, while considering the subsequent...
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This project contains the code and analyzed figures for the manuscript titled "Selective de-constraint in generative AI: longitudinal evidence from intercity AI co-patent networks in China." The code scripts are provided for replicating the network analysis, and the figures are the visualized results presented in the p...
artficial intelligence (AI) and big data analytics have moved from specialised technical functions to the core of how organizations compete, create value and organise work. This concluding chapter looks ahead. It examines the technological, organizational, regulatory and societal trends that are likely to shape the nex...
Purpose This study investigates the entanglement of researcher’s agency and authorship in curriculum development mediated by generative artificial intelligence (GenAI). Despite growing enthusiasm for GenAI’s transformative potential, little is known about the process of becoming-with AI in the epistemic and ethical lab...
2026.09.30 Wednesday Around am02:30 First acquisitionThe Sovereign AI Token Apocalypse: Resolving Freeride Risks via MiCA-Compliant SPC Infrastructure NetworksAbstract: The contemporary generative artificial intelligence and agentic computing ecosystems face a severe financial crisis driven by intensive physical comput...
Objective: To establish a standardized methodological protocol for systematically mapping and characterizing the available scientific evidence on changes in cognitive abilities, pedagogical barriers, and guidelines for the use of artificial intelligence (AI) in formal education. Introduction: The emergence of generativ...
This paper explores consciousness as a causal puzzle. Where an investigation of water molecules examines their properties, this inquiry follows the relations that sustain a whirlpool. It shifts from asking where consciousness is located in the brain to examining the underlying organization that supports higher-order br...
An internally consistent report can conceal a dangerous state, while an integrity alarm can occur without task failure. This paper links distortion monitoring in the Affective Gain Module (AGM) to recoverable information and useful action. The six-channel quadratic score and capacity correction remain conditional model...
GPT-Lab
· gpt-lab.eu
Oct 12, 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 AI Has Grown Up. Have We? appeared first on GPT-Lab.
MIT Statistics and Data Science Center Director Alexander (Sasha) Rakhlin shares important considerations for departments and institutions.
GPT-Lab
· gpt-lab.eu
Oct 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.
By rethinking how large cloud computing systems operate, Associate Professor Christina Delimitrou seeks to make data centers more energy efficient.
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.
An ongoing survey tracks the latest AI accelerator systems to keep hardware relevant for Lincoln Laboratory staff and sponsors.
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