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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216 stories
Shrinkage prior for implicit generative 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.
Emergent Loop Geometry in Gauge-Equivariant Graph Neural Networks. 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.
How Well Do Prior-Data Fitted Networks Amortize Bayesian Inference? 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.
NHAI, GST Network & Mumbai Metro detail their AI use cases at GFF 2026. Reported by MediaNama. Bharat Hunt files it under AI in India and AI Regulation, and tracks it as India coverage — the section covering india's AI ecosystem — government programmes, institutions, national models.
Beyond Trained Models: Compiling GNNs for a Sound Explainer Benchmark. It centres on Benchmarks, and also names Replicate. 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.
AI Models Can Provably Hide Arbitrary Capabilities. It centres on PyTorch, and also names Fine-tuning. 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.
Amortized Counterfactual Prediction with Graph Neural Networks. It centres on Inference, and also names Benchmarks. Reported by arXiv. Bharat Hunt files it under AI Models — the section covering a new or updated model, its capabilities, benchmarks or availability.
A Multi-Agent LLM System for Automated Tuning of Specialized Neural Network Models. 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.
Learning Functional Subspaces for Neural Network Compression. It centres on Llama, and also names Perplexity. Reported by arXiv. Bharat Hunt files it under AI Models — the section covering a new or updated model, its capabilities, benchmarks or availability.
Autonomous fixed-wing interception using reinforcement learning. Reported by arXiv. Bharat Hunt files it under Robotics and AI Regulation — the section covering embodied AI, humanoids, autonomous vehicles and drones. Open the original report for the full detail.
Scaffold: Support Graph Theory Based Sparsification for Graph Neural Networks. It centres on Benchmarks, and also names GitHub. Reported by arXiv. Bharat Hunt files it under AI Models — the section covering a new or updated model, its capabilities, benchmarks or availability.
Reachability-Based Formal Verification of Graph Neural Networks with Node and Edge Features. The story centres on Benchmarks. Reported by arXiv. Bharat Hunt files it under AI Models — the section covering a new or updated model, its capabilities, benchmarks or availability.
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.