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.
Updated 2 hours ago117 stories in the last 24 hours
201 stories
SEAR: Self-Evolving Agentic Robotics. It centres on Benchmarks, and also names Multimodal. Reported by arXiv. Bharat Hunt files it under Robotics and AI Agents — the section covering embodied AI, humanoids, autonomous vehicles and drones. Open the original report for the full detail.
Wasserstein Gradient Flows and Forward-Only Diffusion Are Not Enough for Multimodal Sampling. The story centres on Multimodal. 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.
SlackDrive: Reclaiming Runtime Slack for Adaptive Driving Inference. It centres on Inference, and also names Multimodal. 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.
Omni Demand Understanding: A Benchmark for Contextual User-Intent Inference in Multimodal Interaction. It centres on Benchmarks, and also names Inference and Multimodal. Reported by arXiv. Bharat Hunt files it under AI Models and AI Agents — the section covering a new or updated model, its capabilities, benchmarks or availability.
Multimodal Embodied Agents: A Unified Capability-centric Perspective from Computer-Use to Robot-Use. It centres on Multimodal, and also names Benchmarks. Reported by arXiv. Bharat Hunt files it under Robotics and AI Agents — the section covering embodied AI, humanoids, autonomous vehicles and drones.
Cortex: Consolidating Context into Parametric Memory. 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. Open the original report for the full detail.
RoboQuest: Generalist Physical Agents that Search, Inspect and Test. 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.
BrainTRACE: Tracing Longitudinal, Multimodal, and Volumetric Evidence in Brain MRI Clinical Reasoning. It centres on Multimodal, and also names Benchmarks. 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.
LLM2Jev: LLMs Are Already Jev-Style Decision Models -- When and How to Fine-Tune Them. It centres on Fine-tuning, and also names Inference 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.
LAYERSCOPE: A Layerwise Characterization of Video and Multimodal Learned Representations. It centres on Multimodal, and also names Benchmarks. 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.
Cascaded Retrieval with Cross-Modal Query Refinement for Efficient Visual Document Search. The story centres on Benchmarks. Reported by arXiv. Bharat Hunt files it under Computer Vision — the section covering image and video understanding, detection, recognition, multimodal perception.
OmniCompass: A Holistic Benchmark for Omni-Modal Video Grounding and Understanding. It centres on Benchmarks, and also names Multimodal. 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.
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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.