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
71 stories
GhostPrefix: Synchronization-Free Universal Prefix Attacks for ASR Manipulation. It centres on AI Safety, and also names GitHub. Reported by arXiv. Bharat Hunt files it under Open Source AI and AI Research — the section covering open-weight models, permissive licences and community releases.
Does Financial Speech Need Continual Learning Regularization? A Study of EWC and mini-KFAC on Earnings Call ASR. It centres on Whisper, and also names Benchmarks. Reported by arXiv. Bharat Hunt files it under AI Research — the section covering papers, benchmarks, evaluations, interpretability and safety results.
Cross-Model Agreement as a Deployment-Time Reliability Signal for Automatic Polyp Segmentation. It centres on Inference, and also names 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.
Diffusion Drafts, AR Verifies: Accelerating Document OCR with Self-Speculative Decoding. The story centres on Inference. Reported by arXiv. Bharat Hunt files it under Computer Vision and Generative AI — the section covering image and video understanding, detection, recognition, multimodal perception.
Benchmarking the Explanatory Quality of Open-Weight Vision-Language Models in Face Recognition. It centres on Benchmarks, and also names Reliance Jio and AI Safety. Reported by arXiv. Bharat Hunt files it under Open Source AI and AI Research, and tracks it as India coverage — the section covering open-weight models, permissive licences and community releases.
Self-Emergence Agent Architecture:Behavior-Inertia HMM, Reflexive Metacognition,and Social-Contrastive Self-Modeling. 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. Open the original report for the full detail.
Performance at What Cost? A Sustainability-Aware Performance Index for Cell and Nucleus Instance Segmentation. It centres on Inference, and also names Benchmarks and Fine-tuning. Reported by arXiv. Bharat Hunt files it under Computer Vision and AI Models — the section covering image and video understanding, detection, recognition, multimodal perception.
Automatic Lyric Transcription for Greek Songs: Scaling and Task Composition Effects in Whisper Adaptation. It centres on Whisper, and also names Benchmarks and AI Safety. Reported by arXiv. Bharat Hunt files it under AI Research and AI Models — the section covering papers, benchmarks, evaluations, interpretability and safety results.
Aligning MLLMs with the Latent Structure of Human Cognition via Behavior-Derived Semantic Dimensions. It centres on Multimodal, and also names Benchmarks and AI Safety. 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.
Evaluating In-Context Learning and Retrieval Strategies for Devanagari Post-OCR Correction. It centres on Benchmarks, and also names Gemma and Fine-tuning. Reported by arXiv. Bharat Hunt files it under Computer Vision and AI Research — the section covering image and video understanding, detection, recognition, multimodal perception.
Benchmarking and Domain Adaptation of Automatic Speech Recognition (ASR) for Adolescent Health Communication in Ghanaian Languages. It centres on Benchmarks, and also names Multimodal and Gemma. Reported by arXiv. Bharat Hunt files it under AI Research and AI Models — the section covering papers, benchmarks, evaluations, interpretability and safety results.
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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.