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New Framework Reduces Visual Hallucinations in Multimodal AI Systems Without Retraining MAF Framework Dynamically Optimizes Prompting for Multimodal Sentiment Analysis Study on Pedestrian Attribute Recognition Identifies Sparsity Wall and Optimizes Edge Deployment AI Framework Targets 50% Water Loss in Jordan with LLM and Digital Twin Integration AnonShield: Scalable On-Premise Pseudonymization Cuts Vulnerability Data Processing from 92 Hours to Under 10 Minutes MoFore: A New Self-Supervised Framework Learns Video Representations by Forecasting Future Latent Embeddings Do LLMs Reliably Identify Correct Information Units in Aphasic Discourse? A New Study Evaluates Four Models AI Video Generation Method for Cardiac MRI Addresses Data Scarcity with Latent Motion Modeling SCAN Framework Helps CTOs Decide When to Use Generative AI for Task Allocation LLM-Encoded Knowledge Guides Federated Graph Recommendation to Improve Accuracy New Framework Reduces Visual Hallucinations in Multimodal AI Systems Without Retraining MAF Framework Dynamically Optimizes Prompting for Multimodal Sentiment Analysis Study on Pedestrian Attribute Recognition Identifies Sparsity Wall and Optimizes Edge Deployment AI Framework Targets 50% Water Loss in Jordan with LLM and Digital Twin Integration AnonShield: Scalable On-Premise Pseudonymization Cuts Vulnerability Data Processing from 92 Hours to Under 10 Minutes MoFore: A New Self-Supervised Framework Learns Video Representations by Forecasting Future Latent Embeddings Do LLMs Reliably Identify Correct Information Units in Aphasic Discourse? A New Study Evaluates Four Models AI Video Generation Method for Cardiac MRI Addresses Data Scarcity with Latent Motion Modeling SCAN Framework Helps CTOs Decide When to Use Generative AI for Task Allocation LLM-Encoded Knowledge Guides Federated Graph Recommendation to Improve Accuracy

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perception

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Survey on Medical Embodied AI Highlights Integration of Perception, Decision-Making, and Action

Artificial Intelligence #medical ai#embodied ai

Survey on Medical Embodied AI Highlights Integration of Perception, Decision-Making, and Action

A systematic survey of medical embodied AI examines its core components — perception, decision-making, and action — and their coordinated integration for real-world clinical workflows. The paper reviews representative applications, datasets, and challenges, highlighting the need for unified system-level organization beyond individual functional aspects.

Jun 16, 2026 1 source

DH-V2: Geometry-Based Sampler Achieves 1,433x Compression for Edge Perception

Artificial Intelligence #computer vision#visual sampler

DH-V2: Geometry-Based Sampler Achieves 1,433x Compression for Edge Perception

Researchers present Double-Helix Vision (DH-V2), a geometry-based visual sampler that compresses 2D images into compact 1D signals using golden-ratio-inspired spiral trajectories. At 4K resolution, it achieves a 1,433x compression ratio while running in 0.52ms on CPU-only hardware, and includes a JSON-serializable Robotics API for bandwidth-constrained perception.

Jun 16, 2026 1 source