Daily AI Recap: May 18, 2026

Welcome to today's curated briefing of the most important AI developments.

• At aged care provider Regis, AI takes on paperwork so staff can focus on residents: The post At aged care provider Regis, AI takes on paperwork so staff can focus on residents appeared first on Source....
• Inside Anduril and Meta’s quest to make smart glasses for warfare: The defense-tech company Anduril has shared new details about the augmented-reality headset for the military it’s prototyping with Meta, including a vision for ordering drone strikes via eye-tracking ...
• PaddleOCR 3.5: Running OCR and Document Parsing Tasks with a Transformers Backend: ...
• The Hidden Skill Gap: Why Knowing SQL + Python Isn’t Enough Anymore: This article is about the gap between what candidates prepare for and what companies actually need right now....
• Why Your AI Demo Will Die in Production: 95% of enterprise AI pilots fail to launch. Why? The post Why Your AI Demo Will Die in Production appeared first on Towards Data Science....
• Top 10 AI Research Papers of 2025: AI research in 2025 was defined by major shifts. The industry moved beyond chatbots and into reasoning systems, autonomous agent and multimodal systems. Last year, companies like Google DeepMind, Open...
• How to Maximize OpenAI’s Codex: Learn how to get the most out of OpenAI's coding agent The post How to Maximize OpenAI’s Codex appeared first on Towards Data Science....
• SkillSmith: Compiling Agent Skills into Boundary-Guided Runtime Interfaces: arXiv:2605.15215v1 Announce Type: new Abstract: Recently, skills have been widely adopted in large language model (LLM)-based agent systems across various domains. In existing frameworks, skills are ...

• AgentStop: Terminating Local AI Agents Early to Save Energy in Consumer Devices: arXiv:2605.15206v1 Announce Type: new Abstract: Autonomous agents powered by large language models (LLMs) are increasingly used to automate complex, ...
• TeamTR: Trust-Region Fine-Tuning for Multi-Agent LLM Coordination: arXiv:2605.15207v1 Announce Type: new Abstract: Multi-agent LLM systems have shown promise for complex reasoning, yet recent evaluations reveal they ...
• Quantization Undoes Alignment: Bias Emergence in Compressed LLMs Across Models and Precision Levels: arXiv:2605.15208v1 Announce Type: new Abstract: Large Language Models are routinely compressed via post-training quantization to reduce inference cos...
• Mask-Morph Graph U-Net: A Generalisable Mesh-Based Surrogate for Crashworthiness Field Prediction under Large Geometric Variation: arXiv:2605.15231v1 Announce Type: new Abstract: Nonlinear finite element crash simulations are accurate but computationally expensive, limiting their...
• MuteBench: Modality Unavailability Tolerance Evaluation for Incomplete Multimodal Fusion: arXiv:2605.15235v1 Announce Type: new Abstract: Multimodal physiological data powers clinical AI systems from intensive care units to wearable device...
• DeepSlide: From Artifacts to Presentation Delivery: arXiv:2605.15202v1 Announce Type: new Abstract: Presentations are a primary medium for scholarly communication, yet most AI slide generators optimize...
• SDOF: Taming the Alignment Tax in Multi-Agent Orchestration with State-Constrained Dispatch: arXiv:2605.15204v1 Announce Type: new Abstract: Multi-agent orchestration frameworks such as LangChain, LangGraph, and CrewAI route tasks through gra...

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