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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5193 stories
From Reconstruction to Imputation: Test-Time Optimization for Missing Time-Series Channels. 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.
Time-Division Multiplexing: The Operational Rhythm and Temporal Organization Layer of Digital Life. 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.
AI debt surge pushes Magnificent Seven borrowing to $578 billion, up 45%: SBI Research. Reported by The Economic Times. Bharat Hunt files it under AI Research and AI Funding, and tracks it as India coverage — the section covering papers, benchmarks, evaluations, interpretability and safety results.
RECAST: REconstruction of Chain-of-Thought via Auditable Structured Traces. It centres on Reasoning Models, and also names Claude and GPT. 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.
Backpropagation-free Deep Learning for Time-Series Classification. It centres on AI Safety, and also names Benchmarks. Reported by arXiv. Bharat Hunt files it under AI Research and Generative AI — the section covering papers, benchmarks, evaluations, interpretability and safety results.
Accurate and Auditable ECG Classification via Visibility Graph Neural Networks. 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.
Whose Values, Which Contexts, and What Signals? Grounding Cultural Value Alignment with Re3Culture. The story centres on AI Safety. Reported by arXiv. Bharat Hunt files it under AI Research — the section covering papers, benchmarks, evaluations, interpretability and safety results.
Peeling the Matryoshka: Extracting Ontological Structure from Retrieval Embeddings. It centres on AI Safety, and also names Benchmarks. Reported by arXiv. Bharat Hunt files it under AI Research — the section covering papers, benchmarks, evaluations, interpretability and safety results.
Stepwise-Querying: Distilling Reasoning without Access to Teacher Chain-of-Thought. It centres on Reasoning Models, and also names Fine-tuning and Benchmarks. Reported by arXiv. Bharat Hunt files it under AI Coding — the section covering code generation, developer agents, IDEs and software engineering.
Mobilizing the Archive: Bitext Extraction at Scale from Archival Documents for Extremely Low-resource Languages. Reported by arXiv. Bharat Hunt files it under Computer Vision and AI Models — the section covering image and video understanding, detection, recognition, multimodal perception.
EpiAgent: Epistemic Self-Play for LLM Agents. The story centres on Inference. 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.
Towards Full-Text Scholarly Argument Mining using Entity-Anchored Claim Extraction. Reported by arXiv. Bharat Hunt files it under AI Research and AI Models — the section covering papers, benchmarks, evaluations, interpretability and safety results. Open the original report for the full detail.
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.