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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4940 stories
DeepFEAv2: Deep Learning for Transient Finite Element Analysis Beyond Structured Meshes. The story centres on Inference. Reported by arXiv. Bharat Hunt files it under AI Research — the section covering papers, benchmarks, evaluations, interpretability and safety results. Open the original report for the full detail.
Enriching Speech Emotion Representations with Conversational Context. The story centres on Benchmarks. Reported by arXiv. Bharat Hunt files it under AI Research — the section covering papers, benchmarks, evaluations, interpretability and safety results. Open the original report for the full detail.
Do Agentic Policies Need to Look at Every Step? Geometric Abstraction for Reasoning and Action. The story centres on Multimodal. Reported by arXiv. Bharat Hunt files it under AI Agents and Robotics — the section covering autonomous and tool-using systems, agent frameworks, MCP and orchestration.
Ask, Don't Equip: Question-Driven Coding Agents for Deep Kernel Optimization. Reported by arXiv. Bharat Hunt files it under AI Coding and AI Hardware — the section covering code generation, developer agents, IDEs and software engineering. Open the original report for the full detail.
RASP: Read-All, Sparse-Plasticity Continual Learning in a Stationary-Size LoRA. The story centres on Inference. Reported by arXiv. Bharat Hunt files it under AI Models — the section covering a new or updated model, its capabilities, benchmarks or availability.
ST-GFM: Spectral-Temporal Graph Forecasting with Measured Perturbation Bounds and Masked Spectral Reconstruction. The story centres on Benchmarks. Reported by arXiv. Bharat Hunt files it under AI Funding and Generative AI — the section covering rounds, valuations, acquisitions and investor moves in AI.
DISTRACT: Degradation-Indexed Study of Textual Reference Across Competing Targets. The story centres on Benchmarks. Reported by arXiv. Bharat Hunt files it under AI Research and AI Models — the section covering papers, benchmarks, evaluations, interpretability and safety results.
Brain2Vec: A Self-Supervised 3D Foundation Model for Structural Brain MRI. It centres on Fine-tuning, and also names GitHub. 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.
Rewards for Budget-Aware Multi-Turn Agents That Adapt to Arbitrary Test-Time Constraints. It centres on Inference, and also names Benchmarks. Reported by arXiv. Bharat Hunt files it under AI Regulation and AI Models — the section covering law, policy, courts, standards and government positions on AI.
Uncovering Audio-Text Alignment in Large Audio-Language Models through Cross-Modal Concept Neurons. The story centres on 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.
TabFM-Auto: Self-Evolving Pipelines for Tabular Foundation Models. The story centres on 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.
Label-Efficient Learning for Ground-Based Sky-Image Classification: A Benchmark of Transfer Learning, Active Learning, and Pseudo-Labeling on GCD. The story centres on Benchmarks. Reported by arXiv. Bharat Hunt files it under AI Research and AI Models — the section covering papers, benchmarks, evaluations, interpretability and safety results.
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
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.