The latest AI news, launches, models, companies and research — collected from official sources, research feeds and reporting, grouped into stories and ranked by the BharatHunt Trend Score.
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208 stories
DeCAL: Towards Physically-Grounded Dexterous Vision-Language-Action Models via Contact-Aware Latent Co-Imagination. It centres on Multimodal, and also names GitHub. Reported by arXiv. Bharat Hunt files it under AI Models and AI Regulation — the section covering a new or updated model, its capabilities, benchmarks or availability.
VIGOR: Visual Gain Ordering for Hallucination Mitigation in Multimodal Discrete Diffusion Language Models. It centres on Multimodal, and also names Inference and Benchmarks. Reported by arXiv. Bharat Hunt files it under AI Models and Generative AI — the section covering a new or updated model, its capabilities, benchmarks or availability.
Latent Reasoning in Continuous Space for Unified Multimodal Models. It centres on Multimodal, and also names Reasoning Models and Fine-tuning. Reported by arXiv. Bharat Hunt files it under AI Models and Generative AI — the section covering a new or updated model, its capabilities, benchmarks or availability.
Agentic LLM reasoning in pediatric diabetes outcome prediction from multimodal medical records. The story centres on Multimodal. Reported by arXiv. Bharat Hunt files it under AI Agents and AI Models — the section covering autonomous and tool-using systems, agent frameworks, MCP and orchestration.
Skill-Decoupled On-Policy Expert Distillation for Unified Vision-Language Models. It centres on Inference, and also names Multimodal and Benchmarks. Reported by arXiv. Bharat Hunt files it under AI Regulation and AI Models — the section covering law, policy, courts, standards and government positions on AI.
SemMSA: Latent Semantic-Aided Robust Multimodal Sentiment Analysis with Incomplete Data. It centres on Multimodal, and also names AI Safety and Benchmarks. Reported by arXiv. Bharat Hunt files it under AI Research and AI Models — the section covering papers, benchmarks, evaluations, interpretability and safety results.
Cross-Model Agreement as a Deployment-Time Reliability Signal for Automatic Polyp Segmentation. It centres on Inference, and also names Benchmarks. Reported by arXiv. Bharat Hunt files it under Computer Vision and AI Models — the section covering image and video understanding, detection, recognition, multimodal perception.
AuK Technical Report: An Open-Source Foundational Model for Speech Generation and Editing. It centres on Multimodal, and also names Inference. Reported by arXiv. Bharat Hunt files it under Open Source AI and AI Models — the section covering open-weight models, permissive licences and community releases.
Semantic Representation for Agentic Self-Play in Automated Laboratories. The story centres on Multimodal. Reported by arXiv. Bharat Hunt files it under AI Agents — the section covering autonomous and tool-using systems, agent frameworks, MCP and orchestration. Open the original report for the full detail.
DVD: Dynamic Vector Decoding for Efficient MLLM-based Perception. It centres on Multimodal, and also names Benchmarks and Inference. Reported by arXiv. Bharat Hunt files it under Robotics and AI Models — the section covering embodied AI, humanoids, autonomous vehicles and drones.
OpenVLHarness: Real World Visual Agentic Tool-Use with Multimodal Memory. It centres on Multimodal, and also names Benchmarks and Inference. Reported by arXiv. Bharat Hunt files it under AI Agents and AI Tools — the section covering autonomous and tool-using systems, agent frameworks, MCP and orchestration.
Diffusion Drafts, AR Verifies: Accelerating Document OCR with Self-Speculative Decoding. The story centres on Inference. Reported by arXiv. Bharat Hunt files it under Computer Vision and Generative AI — the section covering image and video understanding, detection, recognition, multimodal perception.
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Our own 0-100 ranking, not an industry metric and not anyone else’s “trending” number. It combines how recently a story was covered (32%), how many independent publications covered it (28%), how fast that coverage is arriving right now (20%), how reliable those sources are (12%) and how many people opened the story (8%).
A story we cannot date carries no score at all rather than a made-up one, so some cards show no badge. Summaries are written by Bharat Hunt from the headline and the coverage — the original article is always the source of truth, and every link goes to the publisher.