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
From Language to Drives: A Multimodal Framework for Aligning Autonomous Robots with Human Purposes. It centres on Multimodal, and also names AI Safety. Reported by arXiv. Bharat Hunt files it under Robotics and AI Models — the section covering embodied AI, humanoids, autonomous vehicles and drones.
Predicting Music Valence and Arousal via Textual and Multimodal In-Context Learning in Large Language Models. It centres on Multimodal, and also names Inference. Reported by arXiv. Bharat Hunt files it under AI Models — the section covering a new or updated model, its capabilities, benchmarks or availability.
Reinforcement Learning with Visually Attributable On-Policy Self-Distillation. It centres on Multimodal, and also names Benchmarks. Reported by arXiv. Bharat Hunt files it under AI Regulation — the section covering law, policy, courts, standards and government positions on AI.
Expressivity of IQP Feature-Map Quantum Kernels via Reproducing Kernel Hilbert Spaces. The story centres on Multimodal. Reported by arXiv. Bharat Hunt files it under AI Tools — the section covering applications people use — assistants, editors, search, productivity.
VideoTapestry: Query-Adaptive Memory Refinement for Multi-Agent Long-Video Understanding. It centres on Multimodal, and also names GPT and Inference. Reported by arXiv. Bharat Hunt files it under AI Agents — the section covering autonomous and tool-using systems, agent frameworks, MCP and orchestration.
MoLE: Mixture of Latent Experts for Complementary Visual Reasoning. It centres on Benchmarks, and also names Fine-tuning. Reported by arXiv. Bharat Hunt files it under Computer Vision — the section covering image and video understanding, detection, recognition, multimodal perception.
EviRover: Reinforcing Agentic Perception Beyond a Glance. It centres on Benchmarks, and also names Fine-tuning and 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.
Learning Native Reflection in Unified Models with Interleaved Reinforcement Learning. It centres on Multimodal, and also names Fine-tuning and 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.
Samsone: A Family of Open Small Audio Language Models for On-Device Inference. It centres on Inference, and also names Multimodal 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.
CrowdForge: Effects of Audio and Visual Audience Participation Modalities on Agency, Collaboration, and Engagement in AI-Mediated MR Performances. Reported by arXiv. Bharat Hunt files it under Computer Vision and AI Research — the section covering image and video understanding, detection, recognition, multimodal perception.
Deep Learning-Based Prediction of HER2 Status from Whole-Brain MRI in Breast Cancer Brain Metastases. 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.
Beyond Post-Hoc Rewards: Privileged Reasoning Exploration for Multimodal Embeddings. It centres on Multimodal, and also names Inference and Benchmarks. Reported by arXiv. Bharat Hunt files it under AI Models — 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.