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
RefCraft: Benchmarking Visual-Reference-Conditioned Agentic Generation through Web Development. It centres on Benchmarks, and also names Multimodal. Reported by arXiv. Bharat Hunt files it under AI Agents and AI Tools — the section covering autonomous and tool-using systems, agent frameworks, MCP and orchestration.
Multi-Agent Flow Matching with Decoupled Generative Guidance. The story centres on Multimodal. Reported by arXiv. Bharat Hunt files it under AI Agents and Robotics — the section covering autonomous and tool-using systems, agent frameworks, MCP and orchestration. Open the original report for the full detail.
Intern-Decision: Efficient Multimodal Decision Making with Autoregressive Masked Language Modeling. 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.
Accelerate multimodal RL training with SkyRL on Amazon SageMaker HyperPod. It centres on Multimodal, and also names Amazon and Inference. Reported by AWS. Bharat Hunt files it under AI Models and Open Source AI — the section covering a new or updated model, its capabilities, benchmarks or availability.
NOAH: Learning the Full Patient Journey. A Longitudinal Multimodal Time-Aware Model for Representation and Forecasting. The story centres on Multimodal. Reported by arXiv. Bharat Hunt files it under AI Models — the section covering a new or updated model, its capabilities, benchmarks or availability.
U-NeXt: General-purpose event detection for neonatal EEG. It centres on Benchmarks, and also names Inference. 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.
AudioTETRIS: Token Elimination via Transitional Importance Signals for Efficient Audio LLMs. It centres on Inference, and also names Phi and Multimodal. Reported by arXiv. Bharat Hunt files it under AI Models — the section covering a new or updated model, its capabilities, benchmarks or availability.
Open-MMUnlearning: Unifying Methods and Evaluation for MLLM Unlearning. It centres on Benchmarks, and also names Multimodal and Inference. Reported by arXiv. Bharat Hunt files it under AI Regulation and AI Research — the section covering law, policy, courts, standards and government positions on AI.
From Reward Signal to Visual Utility: A Controlled Audit of Medical VLM Post-Training. It centres on Fine-tuning, 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.
Training-Free Pronunciation Transcription via Text-Constrained Acoustic Rescoring. It centres on Inference, and also names Multimodal. Reported by arXiv. Bharat Hunt files it under AI Models and AI Tools — the section covering a new or updated model, its capabilities, benchmarks or availability.
Accelerate agentic AI with NVIDIA Nemotron models on Amazon EKS and SageMaker HyperPod EKS. It centres on NVIDIA, and also names Amazon and Multimodal. Reported by AWS. Bharat Hunt files it under AI Agents and AI Hardware — the section covering autonomous and tool-using systems, agent frameworks, MCP and orchestration.
Drift Says When, Budget Says How Much: Rate-Controlled KV Re-selection for Long-Form Multimodal Generation. It centres on Multimodal, and also names Benchmarks. 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.
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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.