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.
Ingestion is behind — last completed run was 4 hours ago.
News ingestion is temporarily unavailable.
The pipeline has not completed a run recently, so what is below may be behind. Nothing here is ever filled in with placeholder news.
3255 stories
FedFiOT: Fisher-Weighted Optimal Transport for Model Merging in One-Shot and Few-Round Federated Learning. The story centres on AI Safety. Reported by arXiv. Bharat Hunt files it under AI Models and AI Research — the section covering a new or updated model, its capabilities, benchmarks or availability.
TailSteer: Trajectory-Tail Steering for Drift-Resistant Multi-turn Image Editing. It centres on Inference, and also names Flux and Qwen. 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.
UK Officials Said AI Would Add £400 Billion to the Economy. That Figure Mainly Came From Google. The story centres on Google. Reported by WIRED. Bharat Hunt files it under AI Research and Enterprise AI — the section covering papers, benchmarks, evaluations, interpretability and safety results.
GUILD: Guided Iterative Data Collection for Imitation Learning. The story centres on Benchmarks. Reported by arXiv. Bharat Hunt files it under Robotics and AI Funding — the section covering embodied AI, humanoids, autonomous vehicles and drones. Open the original report for the full detail.
HARP: Training-Free Dual-Profile Agentic Communication for LLM-Based Recommendation. It centres on Phi, and also names Benchmarks and GitHub. Reported by arXiv. Bharat Hunt files it under AI Agents — the section covering autonomous and tool-using systems, agent frameworks, MCP and orchestration.
MIMIC-Note-Extract: A Large-Scale Structured Dataset Extracted from MIMIC-IV-Note Discharge Summaries. 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.
WebHarbor: Docking Real Websites for Evolving GUI Agent Environments. It centres on Benchmarks, and also names Qwen and GitHub. Reported by arXiv. Bharat Hunt files it under AI Coding and AI Models — the section covering code generation, developer agents, IDEs and software engineering.
Hierarchical World Models with Implicit Dynamics. The story centres on GitHub. Reported by arXiv. Bharat Hunt files it under AI Models and Robotics — the section covering a new or updated model, its capabilities, benchmarks or availability. Open the original report for the full detail.
RoboArchitect: Automating the Design of Robotic Agents with Persistent Memory. It centres on Benchmarks, and also names Fine-tuning. Reported by arXiv. Bharat Hunt files it under AI Coding and AI Models — the section covering code generation, developer agents, IDEs and software engineering.
Hyperbolic Inverse Reinforcement Learning. The story centres on Benchmarks. 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.
TradeWar: A Benchmark for Execution-Grounded Trade Negotiation with Adaptive LLM Agents. It centres on Benchmarks, and also names Reasoning Models. Reported by arXiv. Bharat Hunt files it under AI Models and AI Research — the section covering a new or updated model, its capabilities, benchmarks or availability.
Testimony from Timelines: Evidence-Grounded Significance Testing of Temporal Clinical Hypotheses. 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.
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.