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 1 hour ago121 stories in the last 24 hours
71 stories
The Failure Is in the Readout: Fine-Grained Emotion Recognition Benchmarks Measure Elicitation, Not Perception. The story centres on 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.
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.
A Training Criterion with Token-Level Tolerance to Transcription Ambiguity for Automatic Speech Recognition. The story centres on AI Safety. Reported by arXiv. Bharat Hunt files it under AI Research — the section covering papers, benchmarks, evaluations, interpretability and safety results.
VietPrism: A large-scale Vietnamese speech and deepfake corpus with diverse dialects and code-switching. It centres on Deepfakes, and also names Benchmarks. Reported by arXiv. Bharat Hunt files it under AI Coding and Generative AI — the section covering code generation, developer agents, IDEs and software engineering.
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.
Equal CER, Unequal Damage: Severity-Weighted Character Error Rate for OCR. It centres on AI Safety, and also names Nothing and GitHub. Reported by arXiv. Bharat Hunt files it under Computer Vision and AI Research — the section covering image and video understanding, detection, recognition, multimodal perception.
UniAR: A Unified Framework for Autism Recognition Enhanced by Multi-View Prompt Learning. It centres on Multimodal, and also names AI Safety 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.
Rethinking Human-Aligned Evaluation: An Analysis of Semantic Metrics Beyond WER. The story centres on Benchmarks. Reported by arXiv. Bharat Hunt files it under AI Research and AI Funding — the section covering papers, benchmarks, evaluations, interpretability and safety results.
Keeping Inference in the Radio: Design and Measurement of a Spiking Accelerator for mmWave ISAC Activity Recognition. The story centres on Inference. Reported by arXiv. Bharat Hunt files it under AI Hardware and Open Source AI — the section covering chips, accelerators, data centres, on-device inference and supply.
TRACE: Topology-Aware Reconnection via Prediction-Adaptive Connectivity Enforcement for Thin-Structure Segmentation. The story centres on Benchmarks. Reported by arXiv. Bharat Hunt files it under Computer Vision and AI Coding — the section covering image and video understanding, detection, recognition, multimodal perception.
Mind the Accent Gap: British Accent Robustness in Speech-Driven Financial Voice Assistants. The story centres on Benchmarks. 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.
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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.