SERVIMON: AI-Driven Predictive Maintenance and Real-Time Monitoring for Astronomical Observatories
arxiv.org·1d
⚡Real-time AI Systems
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Advancing Explainable AI in Radiology Research with NVIDIA Clara Reason
developer.nvidia.com·1d
📊AI Performance Profiling
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From product to system network challenges in system of systems lifecycle management
arxiv.org·1d
🔧Systems-level optimizations for LLM serving
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A Quantitative Framework to Predict Wait-Time Impacts Due to AI-Triage Devices in a Multi-AI, Multi-Disease Workflow
arxiv.org·1d
📊AI Performance Profiling
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Personalized AI Scaffolds Synergistic Multi-Turn Collaboration in Creative Work
arxiv.org·1d
🔍Retrieval-augmented generation
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Relation-Aware Bayesian Optimization of DBMS Configurations Guided by Affinity Scores
arxiv.org·1d
🔧Systems-level optimizations for LLM serving
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Spiking Neural Networks: The Future of Brain-Inspired Computing
arxiv.org·1d
⚡Real-time AI Systems
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Simplifying Preference Elicitation in Local Energy Markets: Combinatorial Clock Exchange
arxiv.org·1d
🌐Distributed LLM Systems
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Agentic AI: A Comprehensive Survey of Architectures, Applications, and Future Directions
arxiv.org·5d
⚡Real-time AI Systems
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AURA: A Reinforcement Learning Framework for AI-Driven Adaptive Conversational Surveys
arxiv.org·1d
🧠Large Language Models (LLMs)
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Make Sense of Video Analytics by Integrating NVIDIA AI Blueprints
developer.nvidia.com·1d
📊AI Performance Profiling
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Active transfer learning for structural health monitoring
arxiv.org·1d
✨Model optimizations in LLMs
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PF-DAformer: Proximal Femur Segmentation via Domain Adaptive Transformer for Dual-Center QCT
arxiv.org·1d
🔢Quantization of LLMs
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Deep Neural Watermarking for Robust Copyright Protection in 3D Point Clouds
arxiv.org·1d
🔢Quantization of LLMs
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How Code Execution Drives Key Risks in Agentic AI Systems
developer.nvidia.com·5d
🔧Systems-level optimizations for LLM serving
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Adaptive Control for a Physics-Informed Model of a Thermal Energy Distribution System: Qualitative Analysis
arxiv.org·1d
📊AI Performance Profiling
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Non-myopic Matching and Rebalancing in Large-Scale On-Demand Ride-Pooling Systems Using Simulation-Informed Reinforcement Learning
arxiv.org·4d
🤖Agents using LLMs
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Dialogue as Discovery: Navigating Human Intent Through Principled Inquiry
arxiv.org·1d
💬Prompt optimizations for LLM serving
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Machine Learning and CPU (Central Processing Unit) Scheduling Co-Optimization over a Network of Computing Centers
arxiv.org·5d
📊AI Performance Profiling
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Expressive Range Characterization of Open Text-to-Audio Models
arxiv.org·1d
🧠Large Language Models (LLMs)
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