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⚙️ AI Infrastructure Automation

Resource Orchestration, Auto-scaling, Container Management, Infrastructure as Code

Intensional FOL over Belnap's Billatice for Strong-AI Robotics
arxiv.org·17h
🔍Retrieval-augmented generation
A Scalable Machine Learning Pipeline for Building Footprint Detection in Historical Maps
arxiv.org·17h
🧠Large Language Models (LLMs)
AMD-Mamba: A Phenotype-Aware Multi-Modal Framework for Robust AMD Prognosis
arxiv.org·17h
📊AI Performance Profiling
Explainable AI Methods for Neuroimaging: Systematic Failures of Common Tools, the Need for Domain-Specific Validation, and a Proposal for Safe Application
arxiv.org·1d
📊AI Performance Profiling
Gearshift Fellowship: A Next-Generation Neurocomputational Game Platform to Model and Train Human-AI Adaptability
arxiv.org·1d
⚡Real-time AI Systems
AoI-Aware Resource Allocation with Deep Reinforcement Learning for HAPS-V2X Networks
arxiv.org·2d
🔧Systems-level optimizations for LLM serving
Analyze-Prompt-Reason: A Collaborative Agent-Based Framework for Multi-Image Vision-Language Reasoning
arxiv.org·2d
⚡Real-time AI Systems
Decoding and Engineering the Phytobiome Communication for Smart Agriculture
arxiv.org·17h
🌐Distributed LLM Systems
Hide and Seek with LLMs: An Adversarial Game for Sneaky Error Generation and Self-Improving Diagnosis
arxiv.org·17h
🧠Large Language Models (LLMs)
Self-Navigated Residual Mamba for Universal Industrial Anomaly Detection
arxiv.org·1d
📊AI Performance Profiling
Overcoming the Loss Conditioning Bottleneck in Optimization-Based PDE Solvers: A Novel Well-Conditioned Loss Function
arxiv.org·17h
✨Model optimizations in LLMs
Coherent Multimodal Reasoning with Iterative Self-Evaluation for Vision-Language Models
arxiv.org·17h
🧠Large Language Models (LLMs)
Hydra: Accurate Multi-Modal Leaf Wetness Sensing with mm-Wave and Camera Fusion
arxiv.org·1d
📊AI Performance Profiling
AVPDN: Learning Motion-Robust and Scale-Adaptive Representations for Video-Based Polyp Detection
arxiv.org·17h
📊AI Performance Profiling
An Evolving Scenario Generation Method based on Dual-modal Driver Model Trained by Multi-Agent Reinforcement Learning
arxiv.org·1d
🤖Agents using LLMs
LT-Gaussian: Long-Term Map Update Using 3D Gaussian Splatting for Autonomous Driving
arxiv.org·1d
🔍Retrieval-augmented generation
ROVER: Recursive Reasoning Over Videos with Vision-Language Models for Embodied Tasks
arxiv.org·1d
🧠Large Language Models (LLMs)
MARS: A Meta-Adaptive Reinforcement Learning Framework for Risk-Aware Multi-Agent Portfolio Management
arxiv.org·1d
🤖Agents using LLMs
Confidence-Diversity Calibration of AI Judgement Enables Reliable Qualitative Coding
arxiv.org·1d
🧠Large Language Models (LLMs)
Thinking with Nothinking Calibration: A New In-Context Learning Paradigm in Reasoning Large Language Models
arxiv.org·17h
🧠Large Language Models (LLMs)
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