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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1352 stories
A Spectral Theory of Grokking: Weight Decay induces Feature Learning. Reported by arXiv. Bharat Hunt files it under AI Tools — the section covering applications people use — assistants, editors, search, productivity. Open the original report for the full detail.
Kinks vs. Smoothness: Identifiability of Real Analytic nICA for Laplace-like Sources. 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.
RegKT: Interpretable and Robust Deep Knowledge Tracing With IRT-Regularizer. 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.
The Rater Ising-Potts Model with LLM-Derived Weights: An Application to Multi-Category Scoring Reliability. 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.
Nowcasting of Tropical Cyclone Wind Fields and Intensity from Geostationary Imagery. 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.
Series-wise Cross-validation for Global Time Series Forecasting. 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. Open the original report for the full detail.
Large Language Model-Assisted Adaptive Heuristic Search for Agile Earth Observation Satellite Scheduling. 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.
Rethinking Neural Thickets Without Weight Perturbations. 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. Open the original report for the full detail.
Reason-guided Human Reward Modeling for Preference-based Reinforcement Learning. Reported by arXiv. Bharat Hunt files it under AI Research and AI Regulation — the section covering papers, benchmarks, evaluations, interpretability and safety results. Open the original report for the full detail.
Monitor-Validity Failures: LLM Safety Evidence Paths at Evolving Framework Boundaries. Reported by arXiv. Bharat Hunt files it under AI Research and AI Regulation — the section covering papers, benchmarks, evaluations, interpretability and safety results. Open the original report for the full detail.
MLExpert: Towards a Generalist Agentic Model for Autonomous Machine Learning Engineering. 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. Open the original report for the full detail.
Disagreement-Guided Weak-to-Strong Routing. The story centres on Inference. 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. 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.