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
ARGUS: Role-Aware Event Knowledge Graphs for U.S. Employment-Discrimination Complaints. 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.
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.
Knowledge Graphs as Files: An Agent Harness Where Tool Creation and Tool Use Co-Evolve. It centres on Benchmarks, and also names GitHub. Reported by arXiv. Bharat Hunt files it under AI Tools and AI Coding — the section covering applications people use — assistants, editors, search, productivity.
GraphNIAH: A Benchmark for Long-Context Reasoning over Real-World Graphs. It centres on Benchmarks, and also names Reliance Jio and GPT. Reported by arXiv. Bharat Hunt files it under AI Models and AI Research, and tracks it as India coverage — the section covering a new or updated model, its capabilities, benchmarks or availability.
FutureLift: Lifting Trajectory Proposals into Bidirectional Future Graphs for Motion Forecasting. It centres on Multimodal, and also names Waymo. Reported by arXiv. Bharat Hunt files it under AI Models — the section covering a new or updated model, its capabilities, benchmarks or availability.
Designer-RSI: Evolving Procedural Memory from User Traffic for Agentic Graphic Design. It centres on Claude, and also names Benchmarks. 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.
Batch Before You Lift: Scalable Topological Deep Learning on Large Graphs. Reported by arXiv. Bharat Hunt files it under AI Hardware — the section covering chips, accelerators, data centres, on-device inference and supply. Open the original report for the full detail.
PACT: Plan-Augmented Coordination via Trace-Graphs for Dynamic Multi-Agent Combinatorial Optimization. Reported by arXiv. Bharat Hunt files it under AI Agents — the section covering autonomous and tool-using systems, agent frameworks, MCP and orchestration. Open the original report for the full detail.
Temporal Evidence-Parameter Co-Alignment for LLM Reasoning over Temporal Knowledge Graphs. It centres on AI Safety, and also names RAG and Fine-tuning. Reported by arXiv. Bharat Hunt files it under AI Research — the section covering papers, benchmarks, evaluations, interpretability and safety results.
GTFormer: A Syntax-Free Graph Network Alternative to Transformers for 8192$\times$ Length Extrapolation in Linear Time. The story centres on Benchmarks. 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.
MAGIC: Mixed-Granularity Agent Graphs via Incremental Construction with Dense-Reward Reinforcement Learning. It centres on Benchmarks, and also names Inference. Reported by arXiv. Bharat Hunt files it under AI Agents and AI Regulation — the section covering autonomous and tool-using systems, agent frameworks, MCP and orchestration.
Remembering Through Change: Provenance-Preserving Hypergraph Memory for Multimodal Agents. It centres on Multimodal, and also names Benchmarks. Reported by arXiv. Bharat Hunt files it under AI Models and AI Agents — 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.