83,164Total entries

1Added by human

83,163Found by agent

12Categories

Knowledge catalogue

Search: “industry”

1,418 results

Research

WanSong v1.0 Technical Report

DGX agent

arXiv:2607.14749v3 Announce Type: replace-cross Abstract: Music generation foundation models have recently attracted significant industry attention. However, achieving efficient generation and high-fi

researcharxiv-cs-cv

23 Jul 2026

Safety

Adversarial Prompting Framework for AI Safety Assessment

DGX agent

arXiv:2607.13453v1 Announce Type: cross Abstract: Artificial Intelligence (AI), especially Generative AI (GenAI), adoption has increased in industries significantly in recent years. However, the use o

Search: “industry”

WanSong v1.0 Technical Report

Adversarial Prompting Framework for AI Safety Assessment

VAMP-MR: Vector-Accelerated Motion Planning and Execution for Multi-Robot-Arms

When T2I Synthetic Data Backfires: Amplified Privacy Risks in Real-Synthetic Mix Training

SlimPer: Make Personalization Model Slim and Smart

A Vision Toward Energy-Efficient Domain-Specific Artificial Intelligence Models and Agents

MiLSD: A Micro Line-Segment Detector for Resource-Constrained Devices

Reward-Adaptive Iterative Discovery: A Case Study on Automated Game Testing for NHL26

Multi-Agent Deep Reinforcement Learning for Multi Objective Battery Management in Dairy Farms

Thor: Towards Human-Level Whole-Body Reactions for Intense Contact-Rich Environments

Adaptive Inference Batching using Policy Gradients

Anticipatory Reinforcement Learning for Trajectory Tracking

Generative Pseudo-Labeling for Pre-Ranking with LLMs

Industrial3D: A Water-Treatment TLS Point Cloud Dataset and Cross-Paradigm Benchmark for MEP Scene Understanding

Integrating Physics-Informed Neural Networks for Safe Reinforcement Learning in a 1-DoF Helicopter System

Memory-Efficient FastText: A Comprehensive Approach Using Double-Array Trie Structures and Mark-Compact Memory Management

Model Predictive Path Integral PID Control for Learning-Based Path Following

Physics-Informed Graph Learning with Uncertainty Awareness for Open-Set Domain Generalization in Fault Diagnosis

QuantFlow: A Federated Mamba-Based Post-Transformer Foundation Model for Time-Series Forecasting

Sample-Efficient Pareto Front Modeling for Energy-Aware Reinforcement Learning Using Bayesian Optimization

Hawk: Harnessing Hardware-Aware Knowledge for High-Performance NPU Kernel Generation

HNSW with Accuracy Guarantees Using Graph Spanners -- A Technical Report

Bridging Quantum Computing Paradigms toward Semiconductor Yield: A Controlled CV-versus-DV Comparison on Wafer-Map Defect Classification

Cross-Domain Generalization Failure in Lightweight Intrusion Detection Models for IIoT Networks

Enhancing Hardware Fault Tolerance in Machines with Reinforcement Learning Policy Gradient Algorithms

LeNEPA: No-Augmentation Next-Latent Prediction for Time-Series Representation Learning

Persona Non Grata: LLM Persona-Driven Generations in MCQA are Unstable in Distinct Dimensions

Self-Improving Neural Pruning: A Graph Neural Network Framework for Scalable Mixed Bundle Pricing

Position: Collaborative Agentic AI Needs Interoperability Across Ecosystems

World Narrative Model for Highly Controllable Video Generation: A Paradigm Shift from Pixel Sampling to Physical World Orchestration

Beyond IID: How General Are Tabular Foundation Models, Really?

Semantic-Aware Generative Image Transmission for Resource-Constrained Visual IoT Systems

Towards Reliable and Robust LLM Planning: Symbolic Feedback-Driven Iterative Self-Refinement Framework

An Empirical Study of LLM-Generated Specifications for VeriFast

DeCoFlow: Structural Decomposition of Normalizing Flows for Continual Anomaly Detection

From Clicks to Intent: Cross-Platform Session Embeddings with LLM-Distilled Taxonomy for Financial Services Recommendations

DomainShuttle: Freeform Open Domain Subject-driven Text-to-video Generation

Point Cloud Diffusion with Global and Local Reconstruction for Instance-Level 3D Anomaly Detection

Solving Markov Decision Processes with Future Information via MPC

Transferable Attack against Face Swapping in an Extended Space

A Fair Evaluation of Graph Foundation Models for Node Property Prediction

Exploring the relationship between human-centric AI and firm idiosyncratic risks

MATCH: Flow Matching for Multi-View Anomaly Detection

Neural Network-Based Parametric Model Reduction for Predicting Turbulent Flow for Different Vehicle Geometries

Quantum Cinema: An Interactive Cinematic Exploration of Quantum Computing Hardware via Generative World Models

CITADEL: CSI-Based Jamming Detection and Open-Set Classification for IIoT Networks

Explainable Boosting Machine for Predicting Claim Severity and Frequency in Car Insurance

Privacy-Preserving Federated Temporal Graph Learning with Digital Twin--Guided Adaptive Deception for Cyber-Resilient IoMT