AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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2,544 papers
Public participation is essential to human-centered urban planning, yet existing approaches often struggle to translate dispersed public opinions into clear and discussable preference expressions. This limits substantive deliberation between public preferences and expert knowledge, making it difficult to effectively in...
Code, trained models, and evaluation data accompanying the manuscript Building demolition sequence optimization using structural-analysis-coupled deep reinforcement learning and a CAD-to-graph representation (submitted to the Journal of Computational Design and Engineering; an earlier version was submitted under the ti...
Science learning in elementary schools requires concrete learning experiences to help students relate scientific concepts to observable phenomena. This study aimed to describe the implementation of a volcanic eruption simulation practicum and analyze students’ engagement and conceptual understanding of volcanic eruptio...
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This educational module presents a comprehensive academic introduction to Swarm and Multi-Agent Robotics within the Prep4Uni Robotics and AI curriculum. Core Theoretical and Engineering Foundations: Network Representation & Algebraic Graph Theory: Modeling multi-agent systems via time-varying graphs G = (V, E), topolog...
HRA-TS provides an effective and practical solution for personalized career recommendation in dynamic and privacy-sensitive environments and employs a hybrid long short-term memory–graph attention network encoder to jointly capture users’ evolving behavioral evolution and stable personal attributes.
Abstract Sleep is strongly implicated in biological memory consolidation, replay, systems-level redistribution of memory, and synaptic renormalization. The present paper does not claim that the RS4 architecture reproduces those biological mechanisms. Instead, it asks a narrower computational question: if sleep is repre...
Abstract Epistemicide with a Compute Budget: How Artificial Intelligence Industrializes the Colonial Erasure of Global Majority Knowledge Systems Christian ZacaTechO Ortiz Decolonial Social Scientist | Developer, Justice AI GPT | Architect, DIA Framework™ DOI: 10.5281/zenodo.22742021 This paper argues that artificial i...
This educational module presents a comprehensive academic introduction to Swarm and Multi-Agent Robotics within the Prep4Uni Robotics and AI curriculum. Core Theoretical and Engineering Foundations: Network Representation & Algebraic Graph Theory: Modeling multi-agent systems via time-varying graphs G = (V, E), topolog...
Artificial intelligence (AI) and Machine learning (ML) are transforming the pharmaceutical lifecycle—from target identification and lead optimization to clinical development, manufacturing, supply chain orchestration, and real-world pharmacovigilance. This review synthesizes recent advances (2018–2025) across core meth...
Honesty is a fundamental character value for elementary school students, yet its cultivation through Islamic Religious Education and Character Building (PAI-BP) has not been fully optimal in practice. This study aims to describe the implementation of the illustrated storytelling method in instilling the value of honest...
Active participation is essential in Indonesian language learning because it provides elementary school students with opportunities to develop communication skills and engage meaningfully in classroom learning. This study aimed to explore and describe the role of self-confidence in shaping students’ active participatio...
Prabha Jha used her experience with MIT Open Learning’s program for senior executives to develop AI solutions for her employer, Verizon, and to write a book.
Education Innovation
Assistant Professor Benjamin Lindquist studies how engineers deliberately injected randomness into early AI, giving rise to deep-learning models that sometimes hallucinate.
A Blog post by NVIDIA on Hugging Face
A Blog post by IBM Research on Hugging Face
A new machine-learning approach broke records for weather forecasting for an important time frame in emergency planning.
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