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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PROSE: Preservation-Constrained Selective Editing for Guilty Bias in Legal Judgment Prediction. The story centres on Inference. 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.
BAIT: Can LLMs Find What Biases a Reader? A Benchmark for Cognitive Bias Triggers in News. The story centres on 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.
Multi-Label Perceptual Bug Detection in Video Games using Deep Learning on Gameplay Footage. The story centres on Benchmarks. Reported by arXiv. Bharat Hunt files it under AI Models and AI Tools — the section covering a new or updated model, its capabilities, benchmarks or availability.
Making Amazon Quick enterprise-ready: Automated, auditable cross-account resource promotion. It centres on Amazon, and also names Model Context Protocol. Reported by AWS. Bharat Hunt files it under Enterprise AI and AI Agents — the section covering deployment inside businesses — platforms, adoption, cost, integration.
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.
Implementing synthetic monitoring using Amazon Nova Act. It centres on Amazon, and also names Nova. Reported by AWS. Bharat Hunt files it under AI Models — the section covering a new or updated model, its capabilities, benchmarks or availability.
Basis completes a tax workbook 2x faster with GPT-6 Astra. The story centres on GPT. Reported by OpenAI. Bharat Hunt files it under AI Models — the section covering a new or updated model, its capabilities, benchmarks or availability.
Heads That Write, Not Just Point: Image Retrieval Heads in Vision-Language Models. It centres on Benchmarks, and also names Inference and GitHub. 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.
DepthGraft: Structural Regularization through Hierarchical Cross-Layer KV Reconstruction. The story centres on GitHub. Reported by arXiv. 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.
CNet: A Complex-Valued Deep Learning Framework with Wirtinger Autodifferentiation and FFT--Hadamard Convolution. It centres on Inference, and also names GitHub. Reported by arXiv. Bharat Hunt files it under AI Hardware — the section covering chips, accelerators, data centres, on-device inference and supply.
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.
CHiME-9 ECHI: A Machine Learning Challenge for Enhancing Conversations to Address Hearing Impairment. The story centres on Meta. Reported by arXiv. Bharat Hunt files it under AI Research — 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.