AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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2,298 papers
Abstract Artificial Intelligence (AI) has rapidly become part of contemporary visual communication and is changing the way graphic designers generate, develop, refine, and present ideas. Tools based on generative AI can produce images, illustrations, layouts, typography suggestions, visual variations, and creative conc...
Abstract The rapid expansion of artificial intelligence (AI) has created an unprecedented demand for computational infrastructure. Behind applications such as generative AI, image generation, machine translation, and automated decision-making are large data centres containing thousands of high-performance processors. W...
Abstract AI and ML are rapidly changing higher education by redefining teaching, learning, research, evaluation, and institutional governance. India's National Education Policy (NEP) 2020 envisions a transdisciplinary, technology-enabled, learner-centric, and innovation-driven education system that produces globally co...
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Abstract Artificial Intelligence (AI) has rapidly become part of contemporary visual communication and is changing the way graphic designers generate, develop, refine, and present ideas. Tools based on generative AI can produce images, illustrations, layouts, typography suggestions, visual variations, and creative conc...
Background. The rapid adoption of generative artificial intelligence (AI) in education has created challenges in designing responsible and adaptive learning strategies. Meanwhile, competitive elements in gamified learning remain debated due to inconsistent effects on learner engagement. Purpose. This research aimed to...
Abstract Generative artificial intelligence is changing how consumers search for, evaluate and use information in digital marketplaces. One emerging application is the use of AI-generated review summaries, which condense large volumes of online consumer reviews into concise statements about product strengths, weaknesse...
Abstract Generative artificial intelligence is changing how consumers search for, evaluate and use information in digital marketplaces. One emerging application is the use of AI-generated review summaries, which condense large volumes of online consumer reviews into concise statements about product strengths, weaknesse...
Abstract: The present research paper deals with AI generated literature and changing concepts of authorship in the period where AI has replaced every sphere of human life. The emergence of generative artificial intelligence has altered assumptions about literary text as the production of human creativity because AI is...
Abstract: The present research paper deals with AI generated literature and changing concepts of authorship in the period where AI has replaced every sphere of human life. The emergence of generative artificial intelligence has altered assumptions about literary text as the production of human creativity because AI is...
Abstract Autism Spectrum Disorder (ASD) is a neurodevelopmental condition characterized by difficulties in social communication and interaction, together with restricted or repetitive patterns of behavior. Early screening is important for facilitating timely clinical assessment and intervention; however, conventional s...
Abstract Autism Spectrum Disorder (ASD) is a neurodevelopmental condition characterized by difficulties in social communication and interaction, together with restricted or repetitive patterns of behavior. Early screening is important for facilitating timely clinical assessment and intervention; however, conventional s...
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.
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.
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