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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35 stories
Training-Free Task Vectors for LLM Behavioral Control. It centres on Reliance Jio, and also names Fine-tuning and GitHub. Reported by arXiv. Bharat Hunt files it under AI Models, and tracks it as India coverage — the section covering a new or updated model, its capabilities, benchmarks or availability.
Simulation Priors for Rapid Adaptation in Model-Based RL for Autonomous Racing. The story centres on Reliance Jio. Reported by arXiv. Bharat Hunt files it under AI Models and AI Regulation, and tracks it as India coverage — the section covering a new or updated model, its capabilities, benchmarks or availability.
Skill-Space Shooting for Autonomous Robot Policy Improvement. It centres on Reliance Jio, and also names GitHub. Reported by arXiv. Bharat Hunt files it under Robotics and AI Regulation, and tracks it as India coverage — the section covering embodied AI, humanoids, autonomous vehicles and drones.
Understanding Operator Attitudes Toward AI-Supported Decision Making in Maritime Operations. The story centres on Reliance Jio. 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.
Selective Tie Learning: Mitigating Spurious Correlations in Preference Optimization. The story centres on Reliance Jio. Reported by arXiv. Bharat Hunt files it under AI Models, and tracks it as India coverage — the section covering a new or updated model, its capabilities, benchmarks or availability.
Task-Oriented Rank Adaptation for Continual Learning in Text Classification. It centres on Fine-tuning, and also names Benchmarks and Reliance Jio. Reported by arXiv. Bharat Hunt files it under AI Models, and tracks it as India coverage — the section covering a new or updated model, its capabilities, benchmarks or availability.
Data, not chips, will decide India’s AI and biotech future, say deeptech founders. It centres on Scale AI, and also names Reliance Jio. Reported by YourStory. Bharat Hunt files it under AI in India and AI Startups, and tracks it as India coverage — the section covering india's AI ecosystem — government programmes, institutions, national models.
Momentum, Commentary Tone, and Earnings Surprise in LLM Financial Forecasts. It centres on Reliance Jio, and also names Benchmarks. Reported by arXiv. Bharat Hunt files it under AI Models, and tracks it as India coverage — the section covering a new or updated model, its capabilities, benchmarks or availability.
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.
The Knowledge Layer Model (KLM): Evidence-Visible AI Output, Routing Diagnostics, and Negative Results. It centres on Inference, and also names Benchmarks and Reliance Jio. Reported by arXiv. Bharat Hunt files it under AI Models and AI Coding, and tracks it as India coverage — the section covering a new or updated model, its capabilities, benchmarks or availability.
BiasFlow: Geometric Monitoring and Backbone Regularization for Spurious Feature Reliance. It centres on Reliance Jio, and also names AI Safety and Benchmarks. 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.
Benchmarking the Explanatory Quality of Open-Weight Vision-Language Models in Face Recognition. It centres on Benchmarks, and also names Reliance Jio and AI Safety. Reported by arXiv. Bharat Hunt files it under Open Source AI and AI Research, and tracks it as India coverage — the section covering open-weight models, permissive licences and community releases.
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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.