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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3337 stories
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.
JarvisGUI: Towards Cross-Device GUI Agents with Dynamic Task Composition. The story centres on Benchmarks. Reported by arXiv. Bharat Hunt files it under Open Source AI — the section covering open-weight models, permissive licences and community releases. Open the original report for the full detail.
Multilingual Artificial Datasets for AI-Driven Cardiology: the CliTe and ParaCliTe corpora. The story centres on AI Safety. Reported by arXiv. Bharat Hunt files it under AI Research and AI Regulation — the section covering papers, benchmarks, evaluations, interpretability and safety results.
PathXAI: Evidence-guided structured pathology reporting by transferable tissue segmentation. It centres on Benchmarks, and also names Qwen. Reported by arXiv. Bharat Hunt files it under Computer Vision and AI Models — the section covering image and video understanding, detection, recognition, multimodal perception.
Should We Combine Our Data? Algorithms and Limits for Privately Assessing Data Sharing. Reported by arXiv. Bharat Hunt files it under AI Research and AI Regulation — the section covering papers, benchmarks, evaluations, interpretability and safety results. Open the original report for the full detail.
ACTOR: Action-Centered Temporal Organization for Literary Role-Playing Agents. It centres on Benchmarks, and also names GitHub. Reported by arXiv. Bharat Hunt files it under AI Research — the section covering papers, benchmarks, evaluations, interpretability and safety results. Open the original report for the full detail.
When Steering Shifts Discourse: Identifying and Intervening on Discourse-Level Changes due to Activation Steering in LLMs. It centres on Inference, and also names Perplexity. Reported by arXiv. Bharat Hunt files it under AI Models — the section covering a new or updated model, its capabilities, benchmarks or availability.
Catching Bugs Before They Land: JiTTesting’s Human-on-the-Loop Approach at Full Scale. The story centres on Meta. Reported by Meta. Bharat Hunt files it under AI Research — the section covering papers, benchmarks, evaluations, interpretability and safety results. Open the original report for the full detail.
When uncertainty quantification fails: structural vulnerabilities and corrections for selective prediction under clinical class imbalance. The story centres on Benchmarks. Reported by arXiv. Bharat Hunt files it under AI Models — the section covering a new or updated model, its capabilities, benchmarks or availability.
Multi-Objective Reinforcement Learning Using Routed Ensembles and Trajectory Attribution. It centres on Reasoning Models, and also names AI Safety and Benchmarks. Reported by arXiv. Bharat Hunt files it under AI Research and Robotics — the section covering papers, benchmarks, evaluations, interpretability and safety results.
SemGeo-Gen: Unsupervised Generation of Approximate Cross-Instance Semantic-Geometric Correspondences. It centres on AI Safety, and also names Fine-tuning and GitHub. Reported by arXiv. Bharat Hunt files it under AI Research — the section covering papers, benchmarks, evaluations, interpretability and safety results.
Low-Bit N-Gram Embeddings for Language Models. It centres on DeepSeek, and also names Llama and GPT. Reported by arXiv. Bharat Hunt files it under AI Models and Open Source AI — the section covering a new or updated model, its capabilities, benchmarks or availability.
Bharat Hunt links to original reporting and does not republish it. Headlines and links belong to their publishers; summaries and the trend ranking are ours. All AI stories
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.