Multimodal AI Sensor Fusion Targets 3D Print Faults
• Researchers have proposed a multimodal sensor fusion approach to AI-based fault detection in 3D printing, aiming to push AM monitoring closer to reliable, Industry 4.0 operation.
Multimodal
Cardiac health assessment across scenarios and devices using a multimodal foundation model pretrained on data from 1.7 million individuals
• Abstract Cardiovascular diseases remain a major contributor to the global burden of healthcare, highlighting the importance of accurate and scalable methods for cardiac monitorin
Physics-based phenomenological characterization of cross-modal bias in multimodal models
• Computer Science > Artificial Intelligence [Submitted on 24 Feb 2026] Title:Physics-based phenomenological characterization of cross-modal bias in multimodal models View PDF HTML
Beyond Description: A Multimodal Agent Framework for Insightful Chart Summarization
• Chart summarization remains key for data accessibility but current methods lack deep insight extraction. • Existing MLLMs focus on low-level descriptions, missing the core analyt
Health+: Empowering Individuals via Unifying Health Data
• Health+ addresses fragmented personal health data across incompatible systems, enabling unified access. • Empowers users to upload, query, and share multimodal records-text, imag
TPRU: Advancing Temporal and Procedural Understanding in Large Multimodal Models
• TPRU dataset addresses temporal and procedural gaps in multimodal LLMs, enabling richer embodied AI. • Comprised of robotic manipulation and GUI navigation scenes with 3 tasks: T
Imaging Data Liquidity: The Foundation of Multimodal Medical Intelligence
• Imaging has become a core input into how health systems understand disease, evaluate outcomes, plan capacity, and increasingly, how they learn. • The post Imaging Data Liquidity:
Build AI-Ready Knowledge Systems Using 5 Essential Multimodal RAG Capabilities
• Enterprise data is inherently complex: real-world documents are multimodal, spanning text, tables, charts and graphs, images, diagrams, scanned pages, forms, and embedded metadat
PlotChain: Deterministic Checkpointed Evaluation of Multimodal LLMs on Engineering Plot Reading
• Computer Science > Artificial Intelligence [Submitted on 29 Jan 2026] Title:PlotChain: Deterministic Checkpointed Evaluation of Multimodal LLMs on Engineering Plot Reading View P
PlotChain: Deterministic Checkpointed Evaluation of Multimodal LLMs on Engineering Plot Reading
• Computer Science > Artificial Intelligence [Submitted on 29 Jan 2026] Title:PlotChain: Deterministic Checkpointed Evaluation of Multimodal LLMs on Engineering Plot Reading View P
R²D²: Scaling Multimodal Robot Learning with NVIDIA Isaac Lab
• Building robust, intelligent robots requires testing them in complex environments. • However, gathering data in the physical world is expensive, slow, and often dangerous. • It i
Ship Production Ready AI and Survive the Multimodal Frontier This February
• Ship Production Ready AI and Survive the Multimodal Frontier This February Developer Relations Engineering Manager The AI landscape is moving at breakneck speed. • One day you’re
Nemotron ColEmbed V2: Raising the Bar for Multimodal Retrieval with ViDoRe V3's Top Model
• Nemotron ColEmbed V2 introduces late‑interaction embeddings for unified text‑image retrieval. • Three model sizes-3B, 4B, 8B-deliver state‑of‑the‑art accuracy on ViDoRe V1‑V3. •
Multimodal reinforcement learning with agentic verifier for AI agents
• Argos trains multimodal RL agents to reward answers grounded in visual and temporal evidence, not just plausibility. • Automated verification selects specialized tools per answer
With Mobius Labs' Aana models, we're bringing deeper multimodal understanding to Dropbox Dash
• With Mobius Labs’ Aana models, we’re bringing deeper multimodal understanding to Dropbox Dash Teams today create and share more types of content than ever before. • Their work mi
With Mobius Labs' Aana models, we're bringing deeper multimodal understanding to Dropbox Dash
• With Mobius Labs’ Aana models, we’re bringing deeper multimodal understanding to Dropbox Dash Teams today create and share more types of content than ever before. • Their work mi