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 1 hour ago8 stories in the last 24 hours
3255 stories
Fractal Q2: Profit Zooms 139% YoY to ₹79 Cr, Revenue At ₹957 Cr. The story centres on Fractal Analytics. Inc42 and Entrackr have both covered it. Bharat Hunt files it under AI Models, and tracks it as India coverage — the section covering a new or updated model, its capabilities, benchmarks or availability.
Learning Behaviorally Relevant Dynamics in Multimodal Neural Recordings. It centres on Multimodal, and also names Inference and AI Safety. Reported by arXiv. Bharat Hunt files it under AI Models — the section covering a new or updated model, its capabilities, benchmarks or availability.
Perturb, Repair, Verify: Self-Play Vision-Language Verifiers for Compositional Understanding. It centres on Benchmarks, and also names Multimodal. Reported by arXiv. Bharat Hunt files it under AI Models — the section covering a new or updated model, its capabilities, benchmarks or availability.
The Right Source Is Not Enough: Understanding History Interference in Speech-LLM Memory. 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.
ST-GFM: Spectral-Temporal Graph Forecasting with Measured Perturbation Bounds and Masked Spectral Reconstruction. The story centres on Benchmarks. Reported by arXiv. Bharat Hunt files it under AI Funding and Generative AI — the section covering rounds, valuations, acquisitions and investor moves in AI.
AutoAnalysis: An automated, self-updating meta-analysis of human-AI collaboration. 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.
MuonGS: Pretraining LLMs with Relaxed Weight-Norm Control. The story centres on Perplexity. 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.
Graph Representation Learning via Adaptive Expectile Aggregation. 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.
Same Verdict, Different Readers: Personalizing Fact-Checking Explanations from Relative Preferences. The story centres on AI Safety. Reported by arXiv. Bharat Hunt files it under AI Models — the section covering a new or updated model, its capabilities, benchmarks or availability.
Mechanistic Failure Modes of Weight Pruning in Transformer Language Models. It centres on Perplexity, and also names GPT and Benchmarks. Reported by arXiv. Bharat Hunt files it under AI Models and AI Research — the section covering a new or updated model, its capabilities, benchmarks or availability.
Work Agents: Systems, Capabilities, and Optimization. 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. Open the original report for the full detail.
Information-Theoretic Secure Aggregation With Heterogeneous Client Quantization. Reported by arXiv. Bharat Hunt files it under AI Models and AI Regulation — 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.