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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96 stories
BatSLAM 2.0: Sequence-Verified Sonar Place Recognition in a Robust Pose Graph. Reported by arXiv. Bharat Hunt files it under Robotics and AI Research — the section covering embodied AI, humanoids, autonomous vehicles and drones. Open the original report for the full detail.
SurveyGraph: Generating Academic Surveys via Methods-Entity Knowledge Graphs. It centres on Benchmarks, and also names Qwen and GitHub. Reported by arXiv. Bharat Hunt files it under AI Research — the section covering papers, benchmarks, evaluations, interpretability and safety results.
ActiveEvidence: Decision-Focused Evidence Graphs with Verifiable Acquisition Gaps. The story centres on Multimodal. Reported by arXiv. Bharat Hunt files it under AI Funding and AI Models — the section covering rounds, valuations, acquisitions and investor moves in AI.
OntoKG-EQ: A provenance-grounded, competency-question-governed knowledge graph for auditable analyst querying. 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.
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.
Reinforcement Learning-Guided Graph Transformations for SpTRSV Optimization. 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.
4DCodeBench: Benchmarking Agents on Inverse Graphics of Dynamic Scenes. It centres on Benchmarks, and also names GitHub. Reported by arXiv. Bharat Hunt files it under AI Coding and AI Models — the section covering code generation, developer agents, IDEs and software engineering.
A Spectral Theory of Distortion in LLM Graph Reconstruction: Sharp Bounds and Empirical Characterization. The story centres on Nothing. Reported by arXiv. Bharat Hunt files it under Open Source AI and AI Regulation — the section covering open-weight models, permissive licences and community releases.
FeatLens: Feature-Guided Dynamic Code Graph Construction and Retrieval for Repository-Level Code Generation. It centres on DeepSeek, and also names GPT. Reported by arXiv. Bharat Hunt files it under AI Coding and AI Research — the section covering code generation, developer agents, IDEs and software engineering.
GraphFAS: A Distributed System for Automated Graph Feature Generation and Selection in Industrial Transaction Networks. 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.
On the Token Collapse Phenomenon in Textual Graph Soft Prompting. It centres on Benchmarks, and also names AI Safety and GitHub. Reported by arXiv. Bharat Hunt files it under AI Models — the section covering a new or updated model, its capabilities, benchmarks or availability.
ONE CYLinder: A Benchmark for Graph-Based Surrogate Modeling of Unsteady Bluff-Body Flows. The story centres on Benchmarks. Reported by arXiv. Bharat Hunt files it under AI Research and AI Models — 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.