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.
Updated 2 hours ago117 stories in the last 24 hours
502 stories
From Knowledge Access to Source Learning: Developing Source-Specific Competence. It centres on Benchmarks, and also names RAG. 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.
Hunar.AI raises Rs 40 Cr in Series A funding round led by Blume Ventures. The story centres on Hunar.AI. Reported by YourStory. Bharat Hunt files it under AI Funding, and tracks it as India coverage — the section covering rounds, valuations, acquisitions and investor moves in AI.
Intent2Tc: Automated Intent-to-Traffic Control Translation with Language Models. It centres on RAG, and also names Claude and Inference. Reported by arXiv. Bharat Hunt files it under AI Models and Enterprise AI — the section covering a new or updated model, its capabilities, benchmarks or availability.
DeclineCraft: A RAG Abstention Benchmark for Jointly Measuring Combined Retrieval and Parametric Knowledge. It centres on RAG, and also names Benchmarks. 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.
Agentic AutoRAG: RAG Pipeline Optimization through Reasoning-Driven Agents. It centres on RAG, and also names Benchmarks. 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.
Verifiable Retrieval for Legal Reasoning through Structure-driven Knowledge Graph. The story centres on RAG. Reported by arXiv. Bharat Hunt files it under AI Research and AI Coding — the section covering papers, benchmarks, evaluations, interpretability and safety results.
Private Retrieval Augmented Generation via Random Projection. The story centres on RAG. Reported by arXiv. Bharat Hunt files it under AI Regulation — the section covering law, policy, courts, standards and government positions on AI. Open the original report for the full detail.
Fundamentum Frontier Advisors (F2A) raises Rs 3,000 Cr for growth-stage AI and deeptech fund. It centres on Frontier Advisors F2A, and also names Nandan Nilekani. Reported by Entrackr. Bharat Hunt files it under AI Funding and AI in India, and tracks it as India coverage.
VikingRAG: Accurate and Token-efficient Retrieval-augmented Generation over Structured Documents. The story centres on RAG. 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.
ArchiveLens: A Generative Spatial Knowledge Framework for Semantic Reconstruction of Historical Maps. The story centres on RAG. Reported by arXiv. Bharat Hunt files it under Computer Vision and AI Research — the section covering image and video understanding, detection, recognition, multimodal perception.
ThetreStageAI: Multi-View Retrieval-Augmented Generation for Structured Bengali Theatre Production Planning. It centres on RAG, and also names Gemini and Benchmarks. Reported by arXiv. Bharat Hunt files it under AI Models — the section covering a new or updated model, its capabilities, benchmarks or availability.
Investigating the Role of Reasoning-Language Alignment in Monolingual Retrieval-Augmented Generation. It centres on AI Safety, and also names RAG and Benchmarks. Reported by arXiv. Bharat Hunt files it under AI Research and AI Agents — the section covering papers, benchmarks, evaluations, interpretability and safety results.
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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.