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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4967 stories
Provably Efficient Q-learning for Robust Reinforcement Learning. 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.
Improving JEV Entailment Reranking with Span Readouts and Selective Adaptation. The story centres on Inference. Reported by arXiv. Bharat Hunt files it under AI Models — the section covering a new or updated model, its capabilities, benchmarks or availability.
How ShipStation Global built an AI IT help desk on Amazon Bedrock AgentCore. It centres on Amazon, and also names RAG. Reported by AWS. Bharat Hunt files it under AI Models — the section covering a new or updated model, its capabilities, benchmarks or availability.
Not All Dimensions Are Equal: Outlier-Aware Attention Linearization with Grouped Quadratic Kernels. It centres on Inference, and also names Benchmarks and Fine-tuning. Reported by arXiv. Bharat Hunt files it under AI Models — the section covering a new or updated model, its capabilities, benchmarks or availability.
AudioTETRIS: Token Elimination via Transitional Importance Signals for Efficient Audio LLMs. It centres on Inference, and also names Phi and Multimodal. Reported by arXiv. Bharat Hunt files it under AI Models — the section covering a new or updated model, its capabilities, benchmarks or availability.
Beyond Average Safety: Chance-Constrained LLM Fine-tuning. The story centres on Fine-tuning. 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.
Error- and Prediction-Driven Motor Learning in the Cortico-Cerebellar Loop. Reported by arXiv. Bharat Hunt files it under Robotics and AI Models — the section covering embodied AI, humanoids, autonomous vehicles and drones. Open the original report for the full detail.
Resource-Adaptive Stochastic Gradient Descent for Online Linear Programming without Re-solving. The story centres on Inference. Reported by arXiv. Bharat Hunt files it under AI Coding — the section covering code generation, developer agents, IDEs and software engineering. Open the original report for the full detail.
RAMP: Robust Adaptive Mixed-Precision Quantization for Edge CPU Vision Models. The story centres on Inference. 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.
Generalizable Robotic Insertion with World Models. The story centres on Fine-tuning. Reported by arXiv. Bharat Hunt files it under AI Models and Robotics — the section covering a new or updated model, its capabilities, benchmarks or availability. Open the original report for the full detail.
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.
TrialAtlas: Multi-Agent Research Organization for Clinical Trial Design and Optimization. It centres on Benchmarks, and also names OpenAI and Gemini. Reported by arXiv. Bharat Hunt files it under AI Agents and AI Research — 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
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.