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2,039 papers
The increasing complexity of urban transportation has increased the importance of intelligent traffic systems (ITS). Conventional approaches, such as fixed-time control (STS), rule-based adaptive control (RBAC), and centralized optimization (CTO), struggle with traffic demand, and network complexity. These limitations...
This paper reviews machine learning (ML)-enabled smart grids (SGs), with emphasis on practical power-system implementation, current learning paradigms, global practices, challenges, and deployment-oriented solutions. A two-route structured review-and-synthesis methodology identified 167 records, removed 20 duplicates,...
Background: Hand hygiene is a cornerstone of infection prevention and control in Primary Health Care (PHC) settings. Despite established guidelines, compliance among PHC nurses in South Africa remains suboptimal. Practical, context-specific educational strategies are needed to strengthen routine practice. This study ai...
Abstract The continuous development of modern electronic devices has resulted in increasingly complex Integrated Circuits (ICs). As the number of logic gates and circuit components increases, designing efficient electronic systems becomes more challenging. Engineers need to consider several important factors, including...
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Integrating gamification and advanced natural language processing (NLP) offers promising avenues to enhance literary education and student engagement, particularly within India's linguistically diverse context. The proposed study designs and analyses an AI-based gamified literary role-playing experience to encourage le...
Ocean wave energy resources are immense and, if harnessed, can serve as a reliable source to support a significant portion of electricity needs. However, the technology to convert wave power into useful electrical power is still cost-intensive. One significant challenge is inefficient Power Take-Off (PTO) control techn...
The increasing demand for intelligent, low-latency services in edge–cloud continuum systems poses new challenges for dynamic and efficient task offloading. We propose a Multi Agent Reinforcement Learning (MARL) framework for dis tributed task offloading under partial observability, where each device offloads only a por...
This study examines the effectiveness of Digital Interactive Boards (DIB) in fostering critical thinking skills among fifth-grade elementary school students. The central premise of this investigation stems from the persistent gap between the availability of technological infrastructure in educational settings and its s...
Coastal subsea tunnels often traverse shallow heterogeneous strata, creating significant deformation risks. Deformation control is therefore essential for safe urban construction. This study integrates FLAC3D, SSA-LSSVM, and NSGA-II for multi-objective excavation-support optimization. The Qingdao Jiaozhou Bay Second Su...
Abstract Advanced scanning probe microscopy (SPM) measurements have traditionally required highly specialized skills, but the integration of artificial intelligence (AI) and machine learning has begun to transform how SPM is operated. This review surveys AI methods applied to SPM, organized by technique rather than chr...
Health equity crises—surges in maternal mortality, infectious disease outbreaks, chronic disease decompensation, and behavioral health emergencies that disproportionately affect low-income, rural, tribal, and minority communities—continue to outpace the capacity of conventional public health resource allocation systems...
Students in MIT’s Concourse program delve deeply into the human condition, debate challenging questions, and learn to develop judgment about issues that can’t be quantified.
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.
The effort aims to help U.S. learners from kindergarten to community college, with an emphasis on math, making, and the constructive use of AI.
Associate Professor Cathy Wu uses reinforcement learning to help map out improvements to transportation and other multifaceted systems.
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