산업ENWired AI
AI Has Flooded All the Weather Apps
Weather forecasting has gotten a big boost from machine learning. How that translates into what users see can vary.
AI 업계의 최신 소식을 빠르게 확인하세요.
Weather forecasting has gotten a big boost from machine learning. How that translates into what users see can vary.
For decades, artificial intelligence has been evaluated through the question of whether machines outperform humans. From chess to advanced math, from coding to essay writing, the performance of AI models and applications is tested against that of individual humans completing tasks.
Training mRNA Language Models Across 25 Species for $165
arXiv:2603.26765v1 Announce Type: new Abstract: The efficiency of game engines and policy optimization algorithms is crucial for training reinforcement learning RL agents in complex sequential decisionmaking tasks, such as Tetris.
arXiv:2603.26782v1 Announce Type: new Abstract: Texttolevel generation aims to translate natural language descriptions into structured game levels, enabling intuitive control over procedural content generation.
arXiv:2603.26838v1 Announce Type: new Abstract: This paper surveys uncertaintyaware explainable artificial intelligence UAXAI, examining how uncertainty is incorporated into explanatory pipelines and how such methods are evaluated.
arXiv:2603.26944v1 Announce Type: new Abstract: Predictive modeling on sequential event data is critical for fraud detection and healthcare monitoring.
arXiv:2603.26948v1 Announce Type: new Abstract: Existing approaches for predictive process monitoring are subsymbolic, meaning that they learn correlations between descriptive features and a target feature fully based on data, e.g.
arXiv:2603.26983v1 Announce Type: new Abstract: Art. 50 II of the EU Artificial Intelligence Act mandates dual transparency for AIgenerated content: outputs must be labeled in both humanunderstandable and machinereadable form for automated verification.
arXiv:2603.26996v1 Announce Type: new Abstract: We present FormalProofBench, a private benchmark designed to evaluate whether AI models can produce formally verified mathematical proofs at the graduate level.
arXiv:2603.27076v1 Announce Type: new Abstract: Large language models LLMs are increasingly used for automated tutoring, but their reliability in structured symbolic domains remains unclear.
arXiv:2603.27116v1 Announce Type: new Abstract: Every major AI memory system in production today organises information by meaning. That organisation enables generalisation, analogy, and conceptual retrieval but it comes at a price.