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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3337 stories
GeoReform: Reflective Formalization Evolution for Multimodal Geometry Problem Solving. It centres on Multimodal, and also names Benchmarks. 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.
SemanticFold: Latent Sequence Compression SeparatesLanguage Modeling, Decodability, and Reasoning. It centres on Inference, and also names Qwen. 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.
Evidence-Bound Reasoning: Neuro-Semantic Verification of Biomedical AI in Glioblastoma Radiogenomics. It centres on Benchmarks, and also names GPT. Reported by arXiv. Bharat Hunt files it under AI Models — the section covering a new or updated model, its capabilities, benchmarks or availability.
TAPDreamer: Transferable Adversarial Patches for World Action Models. 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.
LESSER: Post-Training Data Selection with Output-Layer Gradients. The story centres on Benchmarks. Reported by arXiv. Bharat Hunt files it under AI Funding — the section covering rounds, valuations, acquisitions and investor moves in AI. Open the original report for the full detail.
Argo-Bench: Evaluating Data Agents on Enterprise-Scale Workflows. The story centres on Benchmarks. Reported by arXiv. Bharat Hunt files it under Enterprise AI and AI Funding — the section covering deployment inside businesses — platforms, adoption, cost, integration. Open the original report for the full detail.
Homomorphic Advantage Operator: Stabilizing Reinforcement Learning Under Fully Homomorphic Encryption Constraints. The story centres on Benchmarks. Reported by arXiv. Bharat Hunt files it under AI Regulation and Enterprise AI — the section covering law, policy, courts, standards and government positions on AI.
PTNO: Training Neural Operators with Noisy Monte Carlo Estimates for Particle Transport Problems. 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.
AdviSD: Learning to Advise Frontier LLMs via Targeted Multi-Turn Self-Distillation. It centres on Gemini, and also names Claude. Reported by arXiv. Bharat Hunt files it under AI Models — the section covering a new or updated model, its capabilities, benchmarks or availability.
A foundation model for energy and radiation systems built on heterogeneous scientific interfaces. It centres on Inference, and also names Fine-tuning. Reported by arXiv. Bharat Hunt files it under AI Models and AI Funding — the section covering a new or updated model, its capabilities, benchmarks or availability.
DR-net-Mamba: Selective State-Space Modeling for Long-Range ECG Time-Series Denoising. The story centres on Inference. 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.
FactorEngram: Factorized N-gram Memory with Basis-Level Gating for Language Models. 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.
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
Stories in the last 24 hours, against the 24 before it. A change is shown only where the earlier window had enough coverage to compare against.
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.