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발행 2026년 7월 17일
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2026-07-16 ~ 2026-07-17 · AI 주요 소식 78건. 제목을 누르면 원문으로 이동합니다.
날짜출처키워드제목
- 2026-07-17🇺🇸 VentureBeat AIAIThe AI compute gap: Enterprises are buying infrastructure faster than they can measure what it costs
- 2026-07-17🇺🇸 NVIDIA Developer BlogAIIntegrating Context-Aware Video AI Agents Into Enterprise Workflows
- 2026-07-17🇺🇸 NVIDIA Developer BlogAIScaling Agentic AI Factories Through Extreme Co-Design with NVIDIA BlueField
- 2026-07-16🇺🇸 MIT Technology ReviewGPTThe Download: OpenAI unveils GPT-Red and heat pumps rise in the US
- 2026-07-16🌐 arXiv cs.AIAIOriginBlame: Record- and Token-Level Data Provenance for AI Training Datasets
- 2026-07-16🌐 arXiv cs.AIAIOracle Agent Memory as an Enterprise Memory Substrate for Long-Horizon AI Agents
- 2026-07-16🌐 arXiv cs.AIAINetworked Intelligence: Active Shared Context Graphs for Human-AI Team Science
- 2026-07-16🌐 arXiv cs.AIAIAI-Native Insurance for Agentic AI: Pricing, Underwriting, and End-to-End Automation
- 2026-07-16🌐 arXiv cs.AILLMSTOCKTAKE: Measuring the Gap Between Perception and Action in LLM Agents with a Fair Oracle
- 2026-07-16🌐 arXiv cs.AIAICAVA: Canonical Action Verification and Attestation for Runtime Governance of Agentic AI Systems
- 2026-07-16🌐 arXiv cs.AIAIDeep Interaction: An Efficient Human-AI Interaction Method for Large Reasoning Models
- 2026-07-16🌐 arXiv cs.AILLMDesigning Safety-Constrained LLM Systems for Public Health Information Access
- 2026-07-16🌐 arXiv cs.AIAILessonBench-V1: A Benchmark Dataset for Evaluating AI Lesson Generation Agents
- 2026-07-16🌐 arXiv cs.AILLMUncertainty-Aware Sequential Decision Rules for Event-Triggered LLM Invocation in Streaming Systems
- 2026-07-16🌐 arXiv cs.AILLMCompaction as Epistemic Failure: How Agentic LLM Tools Fabricate Confirmed Results from Killed Processes
- 2026-07-16🌐 arXiv cs.AIinferenceInference Economics of Enterprise Coding Agents: A Case Study of Cloud vs. On-Premise LLMs
- 2026-07-16🌐 arXiv cs.AIAISelf-Improving AI Coding Agents Through Accumulated Behavioral Rules: A Closed-Loop Framework
- 2026-07-16🌐 arXiv cs.AIinferenceEfficient and Privacy Aware Edge Cloud Collaborative Inference for Large Language Models
- 2026-07-16🌐 arXiv cs.AIAIAnalyzing Curricular Pattern Complexity Using AI to Improve On-Time Graduation Rates
- 2026-07-16🌐 arXiv cs.AIinferenceFull-Pipeline Inference Optimization for MiMo-V2.5 Series: Pushing Hybrid SWA Efficiency to the Limit
- 2026-07-16🌐 arXiv cs.AIinferenceCoDiffGRN: Rethinking Gene Regulatory Network Inference via the BEELINE-KGC Benchmark and Co-evolutionary Discrete Diffusion
- 2026-07-16🌐 arXiv cs.AILLMAdaptive Filtering of the KV Cache: Diagnosing and Correcting Structural-Role Bias in LLM Inference
- 2026-07-16🌐 arXiv cs.AILLMAccuracy Without Grounding: Diagnosing Visual Dependency Dissociation in Video LLM Benchmarks
- 2026-07-16🌐 arXiv cs.AIneuralSpectral-Informed Neural Networks Outperform Spectral Methods in High-dimensional PDEs
- 2026-07-16🌐 arXiv cs.AILLMMemory as a Controlled Process: Learned Adaptive Memory Management for LLM Agents
- 2026-07-16🌐 arXiv cs.AIinferenceThe SIGReg Objective as Variational Free Energy: A Theoretical Active-Inference Account of JEPA World Models
- 2026-07-16🌐 arXiv cs.AIAIHow Agents Ask for Permission: User Permissions for AI Agents, from Interfaces to Enforcement
- 2026-07-16🌐 arXiv cs.AILLMTraffic-Aware Randomized Smoothing for LLM-Based Network Intrusion Detection
- 2026-07-16🌐 arXiv cs.AIdeep learningMultimodal Assessment of Pancreatic Cancer Resectability Using Deep Learning
- 2026-07-16🌐 arXiv cs.AILLMPolicy of Thoughts: Scaling Test-Time Training for LLM Reasoning via Online Policy Evolution
- 2026-07-16🌐 arXiv cs.AILLMWhen Agents Disagree With Themselves: Behavioral Consistency as an Uncertainty Signal for LLM Agents
- 2026-07-16🌐 arXiv cs.AILLMDiscovering Ordinary Differential Equations with LLM-Based Qualitative and Quantitative Evaluation
- 2026-07-16🌐 arXiv cs.AItransformerPost-Disaster Affected Area Segmentation with a Vision Transformer (ViT)-based EVAP Model using Sentinel-2 and Formosat-5 Imagery
- 2026-07-16🌐 arXiv cs.AILLMThe Joint Effect of Quantization and Sampling Temperature on LLM Safety Alignment: A Factorial Analysis
- 2026-07-16🌐 arXiv cs.AILLMAgentCheck: A Reproduce-Intervene-Mitigate Workbench for LLM Agents over MCP
- 2026-07-16🇰🇷 CIO KoreaAIDid AI decide who lost their jobs? Meta is heading to court over that question
- 2026-07-16🇺🇸 NVIDIA BlogAINVIDIA Introduces New Jetson Thor Computers to Advance Mainstream Robotics and Edge AI