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
DyMD: Preserving Interaction Dynamics through Distribution Matching Distillation in Few-Step Video World Models. It centres on Inference, and also names Benchmarks. Reported by arXiv. Bharat Hunt files it under Robotics and Generative AI — the section covering embodied AI, humanoids, autonomous vehicles and drones.
SciWalker: Synthesizing Scientific Coding Problems with Operator Graphs and Execution Feedback. It centres on Benchmarks, and also names GitHub. Reported by arXiv. Bharat Hunt files it under AI Coding — the section covering code generation, developer agents, IDEs and software engineering.
Combining Hierarchical Cognitive Process with Process Supervision for Interpretable Scene Safety Understanding. 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.
QuranicMMLU: A Cognitively-Aware Benchmark for Evaluating Generative AI Solutions on Quranic Linguistic Knowledge. It centres on Benchmarks, and also names Perplexity. Reported by arXiv. Bharat Hunt files it under Generative AI and AI Models — the section covering text, image, audio and video generation — products and their output.
Per-Aetiology Contrastive Severity Embeddings with Phonological Pseudo-Labelling for Multilingual Dysarthric Speech. The story centres on Benchmarks. 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.
From Symbolic Perception to Logical Deduction: A Framework for Guiding Language Models in Geometric Reasoning. It centres on Multimodal, and also names Benchmarks and Gemini. 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.
dNaViT: Discrete Codes are General-Purpose Visual Representations. It centres on Benchmarks, and also names Multimodal. Reported by arXiv. Bharat Hunt files it under Computer Vision — the section covering image and video understanding, detection, recognition, multimodal perception. Open the original report for the full detail.
Aligning Language Models with General Preferences: An Empirical Study of Direct Nash Optimization. It centres on Llama, and also names Mistral AI and GPT. 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.
Not All Reasoning Generalizes: A Case Study on Learning Generalizable Reasoning Strategies in RLVR. It centres on Benchmarks, and also names GitHub and Meta. Reported by arXiv. Bharat Hunt files it under AI Research — the section covering papers, benchmarks, evaluations, interpretability and safety results.
Zooming without Zooming v2: From Seeing Details to Connecting Evidence for Generalizable Multimodal Perception. It centres on Multimodal, and also names Benchmarks. Reported by arXiv. Bharat Hunt files it under AI Models and Robotics — the section covering a new or updated model, its capabilities, benchmarks or availability.
Ontology-Guided Knowledge Graph Construction from Structured Metadata and Climate Science Publications. It centres on Gemini, and also names GitHub. Reported by arXiv. Bharat Hunt files it under AI Research and AI Agents — the section covering papers, benchmarks, evaluations, interpretability and safety results.
PYTHIA, a transferable machine learning framework for simultaneous defect and adsorption site optimization. The story centres on AI Safety. Reported by arXiv. Bharat Hunt files it under AI Research and AI Models — the section covering papers, benchmarks, evaluations, interpretability and safety results.
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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.