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.
Updated 5 minutes ago·28 stories in the last 24 hours
[Update] Graph AI Nets $13.3 Mn To Accelerate International Expansion. Reported by Inc42. Bharat Hunt files it under AI Funding and AI Startups, and tracks it as India coverage — the section covering rounds, valuations, acquisitions and investor moves in AI.
Graph AI raises $13.3 Mn in Series A round led by Insight Partners. The story centres on Graph AI. Reported by Entrackr. Bharat Hunt files it under AI Funding and AI Startups, and tracks it as India coverage — the section covering rounds, valuations, acquisitions and investor moves in AI.
GPU-CFR: 80x Faster Counterfactual Regret Minimization by Compiling the Game to Static Dataflow and CUDA Graph Replay. Reported by arXiv. Bharat Hunt files it under AI Hardware and AI Coding — the section covering chips, accelerators, data centres, on-device inference and supply.
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.
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.
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.
Chimaera: A Mixture-of-Graph-Experts Architecture for Cross-Task and Cross-Dataset Graph Learning. 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.
LiteRAG: Cost-Efficient Graph-Based Retrieval-Augmented Generation. It centres on RAG, and also names Benchmarks. 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.
Procedural Graphs: Self-Evolving Execution Structures for LLM Agents. 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. Open the original report for the full detail.
Learning with Covariance Matrices: Principal Component Analysis Meets Learning with Graphs. Reported by arXiv. Bharat Hunt files it under Enterprise AI — the section covering deployment inside businesses — platforms, adoption, cost, integration. Open the original report for the full detail.
The Audit Decides the Verdict: Instrument Effects Rival Demographic Bias in LLM Decision Audits. 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.
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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.