arXiv:2609.11752v1 Announce Type: new Abstract: For industrial content risk control, the real deployment constraint is not average accuracy but how much…
Enabling Knowledge Graph Understanding at Scale with the EXplore Your Graphs ENgine (EXYGEN)
arXiv:2609.11569v1 Announce Type: new Abstract: We present EXYGEN (EXplore Your Graphs ENgine), a framework for knowledge graph (KG) understanding that…
Characterizing Job Power Elasticity for Power-Flexible AI Training
arXiv:2609.11542v1 Announce Type: new Abstract: Large language model (LLM) training is among the fastest-growing sources of electricity demand in modern…
Distributed Optimization of Modular Production Systems using Model-based Reinforcement Learning with Inverse Models
arXiv:2609.11615v1 Announce Type: new Abstract: This paper presents a novel approach for data-driven self-learning control of highly flexible, modular…
MAPLE: Memory-Augmented Planning with Language and Evolution
arXiv:2609.11636v1 Announce Type: new Abstract: Domain practitioners understand their business constraints but may lack operations-research expertise or…
Making Alternative Data Work: Context-Augmented LLMs for Financial Forecasting
arXiv:2609.11607v1 Announce Type: new Abstract: When forecasting a firm’s future financial performance, alternative data – data collected from…
AI News Brief Hourly Summary 2026-09-12 12h : 16 posts
16 posts published in the last hour 09:32Extending SMT Solving with Non-Ground Clause Learning 09:32From Document Silos to Process Intelligence: A Multi-Layer Knowledge Graph for CMC Process Development 09:32ActMap: Single-Pass Uncertainty Quantification from Generation-Time Activation Maps 09:32Meet Redis LangCache: A…
Extending SMT Solving with Non-Ground Clause Learning
arXiv:2609.11509v1 Announce Type: new Abstract: Quantifier instantiation is currently the main approach to non-ground SMT solving: solvers generate ground…
From Document Silos to Process Intelligence: A Multi-Layer Knowledge Graph for CMC Process Development
arXiv:2609.11493v1 Announce Type: new Abstract: Chemistry, Manufacturing and Controls (CMC) process development generates an enormous body of technical…
ActMap: Single-Pass Uncertainty Quantification from Generation-Time Activation Maps
arXiv:2609.11498v1 Announce Type: new Abstract: Practical uncertainty quantification (UQ) for large language models must decide, from a single generation,…
Meet Redis LangCache: A Managed Semantic Cache That Cuts LLM API Costs by Up to 90% and Returns Cache Hits Up to 15x Faster
Production LLM applications rarely receive a question nobody has asked before. Support assistants and RAG pipelines field the same intents thousands of…
Lightweight LiDAR-Based Cone Detection Framework Using Random Forest for Formula Student Driverless
arXiv:2609.11527v1 Announce Type: new Abstract: Reliable, low-latency perception is crucial for Formula Student Driverless vehicles, yet many existing…
Google’s new AI model predicts the future from sales data, weather, and discount schedules
Google Research has released TimesFM-3, a forecasting model that analyzes time series alongside related data and known future events like sales promotions…
Prompt Revision as a Source of Cultural Bias in Text-to-Image Systems
arXiv:2609.11532v1 Announce Type: new Abstract: Commercial text-to-image systems silently revise user prompts before generating images, a step users…
AI News Brief Roundup: 2026-09-12
AI News Brief: today roundup Researchers introduced CAUC, a framework that calibrates confidence scores across diverse AI models to boost accuracy and routing efficiency. Researchers combined articulatory inversion with optimal transport to create interpretable, flexible accent distance measurements across diverse…
AI News Brief Daily Summary 2026-09-12
179 posts published today 09:03Calibration-Aware Uncertainty Cascades for Efficient Heterogeneous Model Collaboration 09:03Flexible and Interpretable Accent Distance Measurements 09:03The Convention Gap: Towards Measuring Implicit Communication in Cooperative AI Evaluation 09:03Mark Wahlberg is coming to TechCrunch Disrupt 2026, and he wants…
Calibration-Aware Uncertainty Cascades for Efficient Heterogeneous Model Collaboration
arXiv:2609.11446v1 Announce Type: new Abstract: Heterogeneous model collaboration seeks to exploit the complementary strengths of different models to…
Flexible and Interpretable Accent Distance Measurements
arXiv:2609.11458v1 Announce Type: new Abstract: Determining the differences between two speakers’ accents is a fundamental task in linguistics and speech…