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.
Ingestion is behind — last completed run was 19 hours ago.
News ingestion is temporarily unavailable.
The pipeline has not completed a run recently, so what is below may be behind. Nothing here is ever filled in with placeholder news.
HoloCosm: Beyond Single-Metric Benchmark Compression Across Multiple Metrics. 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.
NeoMME: an efficient Multimodal-native and Multilingual Encoder. The story centres on Multimodal. Reported by Hugging Face. 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.
The Spoken Wikipedia Presentation Corpus. 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.
IvyCap Ventures leads Rs 130 Cr pre-Series B round in Live2.ai. It centres on Multimodal, and also names Titan. Reported by Entrackr. Bharat Hunt files it under AI Funding and AI Agents, and tracks it as India coverage — the section covering rounds, valuations, acquisitions and investor moves in AI.
Beyond Watching and Searching: Benchmarking Agents for Video-centered Deep Research Reports. It centres on Benchmarks, and also names Multimodal and GitHub. Reported by arXiv. Bharat Hunt files it under AI Research — the section covering papers, benchmarks, evaluations, interpretability and safety results.
ZeroMAG: Zero-Shot Multimodal Adapter Generation for Plug-and-Play EEG Foundation 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.
Measure Less, Know More: Self-Supervised Test-Time Feature Acquisition. The story centres on Multimodal. Reported by arXiv. Bharat Hunt files it under AI Funding and AI Models — the section covering rounds, valuations, acquisitions and investor moves in AI.
Multimodal Thinking with Renderable Programs. It centres on Multimodal, and also names Benchmarks. Reported by arXiv. Bharat Hunt files it under AI Models and Open Source AI — the section covering a new or updated model, its capabilities, benchmarks or availability.
Visual Tripwires: Anticipating Failure in Deep Vision Systems. 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.
Offline Multimodal Large Language Models for Decision Support in Air Operations. 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.
FedDermaSeg: Federated Learning for Dermatological Image Segmentation. Reported by arXiv. Bharat Hunt files it under Computer Vision and AI Funding — the section covering image and video understanding, detection, recognition, multimodal perception. Open the original report for the full detail.
HRIL: Learning Multimodal Synergy via Higher-Order Tensor Modeling. It centres on Multimodal, and also names Benchmarks and GitHub. Reported by arXiv. Bharat Hunt files it under AI Models — the section covering a new or updated model, its capabilities, benchmarks or availability.
Bharat Hunt links to original reporting and does not republish it. Headlines and links belong to their publishers; summaries and the trend ranking are ours. All AI stories
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.