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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208 stories
Bi-FORK: Generative Modeling of High-Dimensional Bifurcating Systems. The story centres on Multimodal. Reported by arXiv. Bharat Hunt files it under Open Source AI — the section covering open-weight models, permissive licences and community releases. Open the original report for the full detail.
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.
PBLH Estimation from Satellite Radiances via a Dual-Encoder Transformer. It centres on Multimodal, and also names Benchmarks. Reported by arXiv. Bharat Hunt files it under AI Research and AI Models — the section covering papers, benchmarks, evaluations, interpretability and safety results.
MIST: Multimodal Survival Prediction with Genomic-Guided Histology Attention. It centres on Multimodal, and also names AI Safety and GitHub. Reported by arXiv. Bharat Hunt files it under AI Models and AI Coding — the section covering a new or updated model, its capabilities, benchmarks or availability.
Evolution of Multimodal Question Answering: From Modality-Adaptive Extraction to Unified Language Representation. It centres on Multimodal, and also names 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.
What Does the Model See? Representation Validity in Multimodal LLM-Based Video Analysis. It centres on Multimodal, and also names 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.
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.
EAServe: Encode-Aware Disaggregated Serving for Multimodal Large Language Models. It centres on Multimodal, and also names NVIDIA and vLLM. Reported by arXiv. Bharat Hunt files it under AI Models and AI Hardware — the section covering a new or updated model, its capabilities, benchmarks or availability.
Prompt, Probe, Train, or Annotate? Single-camera sports video understanding in amateur settings. The story centres on Benchmarks. Reported by arXiv. Bharat Hunt files it under Computer Vision and AI Models — the section covering image and video understanding, detection, recognition, multimodal perception.
JHiMA-WebRL: A Joint Hierarchical Multi-Agent Reinforcement Learning Framework for Long-Horizon Web Tasks. The story centres on Multimodal. 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.
Agentic engineering intelligence with Amazon Nova Multimodal Embeddings and Amazon Bedrock AgentCore. The story centres on Amazon. Reported by AWS. Bharat Hunt files it under AI Agents and AI Models — the section covering autonomous and tool-using systems, agent frameworks, MCP and orchestration.
ImgMT: Wikipedia-based Dataset For Evaluating Text-in-Image Translation. It centres on Benchmarks, and also names Multimodal. Reported by arXiv. Bharat Hunt files it under AI Models and Computer Vision — the section covering a new or updated model, its capabilities, benchmarks or availability.
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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.