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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200 stories
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.
Simplify and support your TorchServe workloads using Ray Serve Deep Learning Containers. It centres on Inference, and also names Amazon. Reported by AWS. Bharat Hunt files it under AI Hardware — the section covering chips, accelerators, data centres, on-device inference and supply.
Improve TTFT for multi-turn agentic workloads with bi-directional KV transfer in vLLM. It centres on vLLM, and also names Amazon. Reported by AWS. Bharat Hunt files it under AI Agents — the section covering autonomous and tool-using systems, agent frameworks, MCP and orchestration.
Generate images and video with vLLM-Omni on SageMaker AI – Part 2. It centres on vLLM, and also names Amazon and Flux. Reported by AWS. Bharat Hunt files it under AI Models — the section covering a new or updated model, its capabilities, benchmarks or availability.
Introducing Amazon SageMaker HyperPod Inference Gateway. It centres on Amazon, and also names Inference. Reported by AWS. Bharat Hunt files it under AI Hardware — the section covering chips, accelerators, data centres, on-device inference and supply. Open the original report for the full detail.
Automated agent evaluation with Amazon Bedrock AgentCore and GitHub Actions. It centres on Benchmarks, and also names Amazon and GitHub. Reported by AWS. Bharat Hunt files it under AI Agents and AI Coding — the section covering autonomous and tool-using systems, agent frameworks, MCP and orchestration.
Mixture-of-Experts kernel engineering on Amazon SageMaker AI. The story centres on Amazon. Reported by AWS. Bharat Hunt files it under AI Hardware — the section covering chips, accelerators, data centres, on-device inference and supply. Open the original report for the full detail.
How Bayer Crop Science built an agentic decision engine on Amazon Bedrock AgentCore with AWS Unified Operations. The story centres on Amazon. Reported by AWS. Bharat Hunt files it under AI Agents and AI Research — the section covering autonomous and tool-using systems, agent frameworks, MCP and orchestration.
Multi-Region training with Amazon SageMaker HyperPod and Qumulo. The story centres on Amazon. Reported by AWS. Bharat Hunt files it under AI Models — the section covering a new or updated model, its capabilities, benchmarks or availability. Open the original report for the full detail.
Five AI safety sessions every founder should have on their TechCrunch Disrupt 2026 agenda. It centres on AI Safety, and also names Anthropic and NVIDIA. Reported by TechCrunch. Bharat Hunt files it under AI Startups and AI Hardware — the section covering company launches, pivots, hires and shutdowns at AI companies.
Implementing defense-in-depth authorization for MCP tools on Amazon Quick. It centres on Model Context Protocol, and also names Amazon and Microsoft. 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.
Amazon launches Alexa+ in India: What its AI assistant can do and how much it costs. The story centres on Amazon. Reported by MediaNama. Bharat Hunt files it under AI in India and AI Tools, and tracks it as India coverage — the section covering india's AI ecosystem — government programmes, institutions, national models.
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.