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 ago114 stories in the last 24 hours
515 stories
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.
How V7 gives AI agents institutional memory. The story centres on GPT. Reported by OpenAI. Bharat Hunt files it under AI Agents and AI Models — the section covering autonomous and tool-using systems, agent frameworks, MCP and orchestration.
Building an AI-powered contract intelligence platform with Amazon Quick and Amazon Bedrock AgentCore. It centres on Amazon, and also names RAG. Reported by AWS. Bharat Hunt files it under AI Agents and AI Tools — the section covering autonomous and tool-using systems, agent frameworks, MCP and orchestration.
How Trane gets building insights 60x faster with Amazon Bedrock AgentCore. The story centres on Amazon. Reported by AWS. Bharat Hunt files it under AI Agents — the section covering autonomous and tool-using systems, agent frameworks, MCP and orchestration.
Build efficient agents with knowledge distillation on Amazon SageMaker AI. The story centres on Amazon. Reported by AWS. Bharat Hunt files it under AI Agents and AI Tools — the section covering autonomous and tool-using systems, agent frameworks, MCP and orchestration.
How Circle K accelerated DevOps incident triage to under 15 minutes with Amazon Bedrock. The story centres on Amazon. Reported by AWS. Bharat Hunt files it under AI Agents — the section covering autonomous and tool-using systems, agent frameworks, MCP and orchestration.
Amazon blocks Meta’s Muse AI agent. It centres on Amazon, and also names Meta. Reported by The Verge. Bharat Hunt files it under AI Agents — the section covering autonomous and tool-using systems, agent frameworks, MCP and orchestration.
Raising the quality of insights in agentic analytics. Reported by MIT Technology Review. Bharat Hunt files it under AI Agents and Generative AI — the section covering autonomous and tool-using systems, agent frameworks, MCP and orchestration. Open the original report for the full detail.
Extending public sector intelligence with Agentforce and AWS. It centres on Amazon, and also names Model Context Protocol and Salesforce. Reported by AWS. Bharat Hunt files it under AI Agents — the section covering autonomous and tool-using systems, agent frameworks, MCP and orchestration.
Agentic retrieval with LangChain and Amazon Bedrock Knowledge Bases. It centres on LangChain, and also names Amazon and RAG. Reported by AWS. Bharat Hunt files it under AI Agents — the section covering autonomous and tool-using systems, agent frameworks, MCP and orchestration.
Connecting AI agents to enterprise knowledge. Reported by MIT Technology Review. Bharat Hunt files it under AI Agents and Enterprise AI — the section covering autonomous and tool-using systems, agent frameworks, MCP and orchestration. Open the original report for the full detail.
Ringg’s AI agents resolve up to 65% of customer calls with OpenAI. It centres on OpenAI, and also names GPT. Reported by OpenAI. Bharat Hunt files it under AI Agents and AI Models — the section covering autonomous and tool-using systems, agent frameworks, MCP and orchestration.
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
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.