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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3337 stories
Continuous wavelet-based feature extraction for laser-induced breakdown spectroscopy classification of human plasma samples. The story centres on Benchmarks. Reported by arXiv. Bharat Hunt files it under AI Research and AI Hardware — the section covering papers, benchmarks, evaluations, interpretability and safety results.
AgentAM: An AI Agent for Spatter- and Defect-Aware Process Optimization in Laser Powder Bed Fusion. It centres on Model Context Protocol, and also names Benchmarks. Reported by arXiv. Bharat Hunt files it under AI Agents and AI Funding — the section covering autonomous and tool-using systems, agent frameworks, MCP and orchestration.
Enhancing Sentiment Classification on Small Datasets through Data Augmentation and Transfer Learning. Reported by arXiv. Bharat Hunt files it under AI Research and AI Models — the section covering papers, benchmarks, evaluations, interpretability and safety results. Open the original report for the full detail.
Follow the Gradient: Tracing Safety Degradation Back to Training Data. It centres on Fine-tuning, and also names Qwen and Llama. Reported by arXiv. Bharat Hunt files it under AI Models and AI Coding — the section covering a new or updated model, its capabilities, benchmarks or availability.
PerceptRL: Making Visual Perception Rewardable in MLLMs from Answers to Interactions. It centres on Multimodal, and also names Benchmarks. 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.
Uncovering Shortcut Amplification in Video RLVR through the Lens of Perceptual Uncertainty Collapse. The story centres on Multimodal. Reported by arXiv. Bharat Hunt files it under AI Models and AI Regulation — the section covering a new or updated model, its capabilities, benchmarks or availability.
SEMA-Auto: Sighted and Efficient Multi-Turn Attack with Autonomy. It centres on Fine-tuning, and also names DeepSeek and GPT. Reported by arXiv. Bharat Hunt files it under AI Models — the section covering a new or updated model, its capabilities, benchmarks or availability.
GPDPO: Learning from Reward Conflicts via Group Pareto-Dominance Policy Optimization. It centres on Benchmarks, and also names AI Safety. 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.
ALIAS: Evaluating Performance and Memorization in LLM-Written TLA+ Specifications. It centres on Benchmarks, and also names Claude and GPT. 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.
Task-aligned spectral inductive biases in parameterized quantum circuits. 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. Open the original report for the full detail.
Unlocking Token Rewards via Training-Free Reward Attribution. It centres on Benchmarks, and also names GitHub. 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.
Cited but Not Consulted: A Counterfactual Audit of Legal Chain-of-Thought Faithfulness. It centres on Reasoning Models, and also names Benchmarks and Replicate. 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.
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.