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 2 hours ago·8 stories in the last 24 hours
Coupled Scene Graph Anticipation: When With-Constraint Recall Hides Structural Inconsistency. It centres on Nothing, and also names Benchmarks. Reported by arXiv. Bharat Hunt files it under AI Models — the section covering a new or updated model, its capabilities, benchmarks or availability.
LegalEvolver: Agentic Legal Judgment Prediction via Rubric-Guided Self-Evolution. The story centres on 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.
Interview: CERT-In chief on AI agent incidents, prompt injection and who must report them. The story centres on Benchmarks. Reported by MediaNama. Bharat Hunt files it under AI Agents and AI Research, and tracks it as India coverage — the section covering autonomous and tool-using systems, agent frameworks, MCP and orchestration.
Learning curves in natural and artificial systems. 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.
One Assistant, Many Memories: Benchmarking Real-World Group Assistance When Recall Is Not Enough. The story centres on Benchmarks. Reported by arXiv. Bharat Hunt files it under AI Tools and AI Research — the section covering applications people use — assistants, editors, search, productivity.
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.
Rural Readiness: Domain Generalization with Adversarially Chosen Domains. The story centres on Meta. 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.
SCARL: Sequence Confidence-Aligned Reinforcement Learning. It centres on Nothing, and also names AI Safety and GitHub. Reported by arXiv. Bharat Hunt files it under AI Research and AI Regulation — the section covering papers, benchmarks, evaluations, interpretability and safety results.
CRISP: Co-designing Pruning and Scheduling for Efficient MoE Inference on Edge Servers. It centres on Inference, and also names Mistral and DeepSeek. Reported by arXiv. Bharat Hunt files it under AI Models — the section covering a new or updated model, its capabilities, benchmarks or availability.
Towards a Unified Framework of Optimal Input-Side Dimensional Configuration for Deep CTR Prediction. 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.
Beyond Discrete Tokens: Preserving Numerical Continuity in Medical Vision-Language Models. Reported by arXiv. Bharat Hunt files it under AI Models and Generative AI — the section covering a new or updated model, its capabilities, benchmarks or availability. 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.