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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875 stories
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.
Finite-Sample Probabilistic Safety Certification for AI-Based Grid-Edge Coordination. The story centres on Inference. Reported by arXiv. Bharat Hunt files it under AI Agents and AI Research — the section covering autonomous and tool-using systems, agent frameworks, MCP and orchestration.
Reproducible AI Requires Reproducible Randomness. It centres on Reliance Jio, and also names PyTorch and TensorFlow. Reported by arXiv. Bharat Hunt files it under AI Research and AI Tools, and tracks it as India coverage — the section covering papers, benchmarks, evaluations, interpretability and safety results.
CASCADE Against Jailbreaks: Combination Across Stages with Controlled Attack-Defense Evaluation. The story centres on Benchmarks. Reported by arXiv. Bharat Hunt files it under AI Research and AI Models — the section covering papers, benchmarks, evaluations, interpretability and safety results.
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.
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.
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.
PhySGA: A Physics-Space Grounded Agentic Framework for Generalizable and Interactive 3D Composition. The story centres on AI Safety. Reported by arXiv. Bharat Hunt files it under AI Agents and Robotics — the section covering autonomous and tool-using systems, agent frameworks, MCP and orchestration.
Executing Causal Structure Learning with Linear-Attention Transformers. The story centres on Benchmarks. Reported by arXiv. Bharat Hunt files it under AI Research and AI Models — the section covering papers, benchmarks, evaluations, interpretability and safety results. Open the original report for the full detail.
Author Representation Strategies for Zero-Shot Authorship Attribution: A Comparative Study of LLM-Based and Embedding-Based Approaches. 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.
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Stories in the last 24 hours, against the 24 before it. A change is shown only where the earlier window had enough coverage to compare against.
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.