AI Agents

Why does Multi-Agent RL fail to act like a real society in Spatial Game Theory? [P] [R]

Hey everyone, I’m building a project for my university Machine Learning course called "Social network analysis using iterated game theory...

AWS turns its S3 storage service into a file system for AI agents

Moody’s Integrates AI Agents With Anthropic’s Claude

WordPress’s new AI assistant will let users edit their sites with prompts | The Verge

WordPress has launched a new AI assistant that allows users to edit their sites using text prompts, enhancing the site editing experience...

Please help in my research

A Reddit user seeks assistance for an academic survey on consumer perceptions of AI Assistants, emphasizing anonymity and the brief time ...

WordPress.com adds an AI Assistant that can edit, adjust styles, create images, and more | TechCrunch

WordPress.com introduces a built-in AI assistant that allows users to edit site content, adjust styles, and create images using natural l...

As AI jitters rattle IT stocks, Infosys partners with Anthropic to build 'enterprise-grade' AI agents | TechCrunch

Infosys partners with Anthropic to develop enterprise-grade AI agents, integrating Claude models into its Topaz AI platform to enhance au...

Distribution of favorite movies among 100 AI models

An analysis of 100 AI models reveals their favorite movies, highlighting a lack of diversity in choices, which raises questions about AI ...

[2602.11858] Zooming without Zooming: Region-to-Image Distillation for Fine-Grained Multimodal Perception

The paper presents Region-to-Image Distillation, a novel approach to enhance fine-grained multimodal perception in MLLMs by internalizing...

[2602.11575] ReaDy-Go: Real-to-Sim Dynamic 3D Gaussian Splatting Simulation for Environment-Specific Visual Navigation with Moving Obstacles

The paper presents ReaDy-Go, a novel simulation pipeline that enhances visual navigation in dynamic environments by integrating 3D Gaussi...

[2602.10556] LAP: Language-Action Pre-Training Enables Zero-shot Cross-Embodiment Transfer

The paper introduces Language-Action Pre-Training (LAP), a method enabling robots to perform tasks across different embodiments without f...

[2602.10551] C^2ROPE: Causal Continuous Rotary Positional Encoding for 3D Large Multimodal-Models Reasoning

The paper presents C^2ROPE, an advanced positional encoding method for 3D Large Multimodal Models, addressing limitations of existing Rot...

[2602.07132] Discrete Adjoint Matching

The paper introduces Discrete Adjoint Matching (DAM), a novel method for fine-tuning discrete generative models, addressing challenges in...

[2602.10139] Anonymization-Enhanced Privacy Protection for Mobile GUI Agents: Available but Invisible

The paper presents a novel framework for enhancing privacy protection in mobile GUI agents by anonymizing sensitive data while maintainin...

[2602.06374] A Multiplicative Neural Network Architecture: Locality and Regularity of Approximation

This paper presents a novel multiplicative neural network architecture that emphasizes multiplicative interactions for function approxima...

[2602.07672] Debugging code world models

The paper explores Code World Models (CWMs), which simulate program execution and identify error sources, focusing on local semantic exec...

[2602.07506] VividFace: Real-Time and Realistic Facial Expression Shadowing for Humanoid Robots

VividFace presents a real-time system for humanoid robots to mimic human facial expressions, enhancing emotional interaction through adva...

[2602.05888] Metric Hedonic Games on the Line

The paper explores Metric Hedonic Games, focusing on coalition formation among agents based on their utility and costs related to coaliti...

[2601.06793] CliffordNet: All You Need is Geometric Algebra

CliffordNet proposes a novel approach to computer vision using Geometric Algebra, challenging traditional architectures by achieving high...

[2602.03837] Accelerating Scientific Research with Gemini: Case Studies and Common Techniques

This article explores how Google's Gemini models enhance scientific research through case studies, showcasing effective human-AI collabor...

[2512.19131] Evidential Trust-Aware Model Personalization in Decentralized Federated Learning for Wearable IoT

The paper presents Murmura, a framework for trust-aware model personalization in decentralized federated learning (DFL) for wearable IoT ...

[2601.23232] ShotFinder: Imagination-Driven Open-Domain Video Shot Retrieval via Web Search

ShotFinder introduces a novel benchmark for open-domain video shot retrieval, utilizing LLMs to enhance video search capabilities through...

[2601.20538] Interpreting Emergent Extreme Events in Multi-Agent Systems

This paper presents a framework for interpreting emergent extreme events in multi-agent systems, focusing on the origins and drivers of t...