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 ago138 stories in the last 24 hours
3432 stories
Smartphone-Aided VR Exergames for HIIT: Gamifying Fitness with Real-Time Pose Estimation. It centres on Model Context Protocol, and also names Anthropic and GPT. 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.
SkillScaffold: Scaffolding Agentic Reinforcement Learning with Policy-Adaptive Skill Credit Assignment and Selective Injection. It centres on Benchmarks, and also names Inference and GitHub. Reported by arXiv. Bharat Hunt files it under AI Agents and AI Regulation — the section covering autonomous and tool-using systems, agent frameworks, MCP and orchestration.
SkillGym: Internalizing Human Skills into LLMs for Real-World Problem Solving. It centres on Inference, and also names Fine-tuning and Claude Code. 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.
Why Is Video Still So Expensive? A Survey of Inference-Efficiency Mechanisms in Video and Audiovisual LLMs. It centres on Inference, and also names Benchmarks and GitHub. Reported by arXiv. Bharat Hunt files it under AI Research and Enterprise AI — the section covering papers, benchmarks, evaluations, interpretability and safety results.
How Much Can Tool Calls Reveal About You? Privacy Leakage from Tool-Call Traces. It centres on Model Context Protocol, and also names Inference and Benchmarks. Reported by arXiv. Bharat Hunt files it under AI Tools and AI Regulation — the section covering applications people use — assistants, editors, search, productivity.
The Athlete as a Scientist of One: Agentic Bayesian Experimental Design for Individualized Physiology from Consumer Wearables. The story centres on Benchmarks. Reported by arXiv. Bharat Hunt files it under AI Agents and AI Research — the section covering autonomous and tool-using systems, agent frameworks, MCP and orchestration.
EvoRouter: Cost-Efficient Multi-Agent Routing via Insight-Guided On-Policy Distillation. It centres on Benchmarks, and also names Inference and GitHub. Reported by arXiv. Bharat Hunt files it under AI Agents and AI Regulation — the section covering autonomous and tool-using systems, agent frameworks, MCP and orchestration.
Automated Regulatory Compliance Question Answering in Financial Services with Domain-Adapted Retrieval-Augmented Generation. It centres on RAG, and also names Fine-tuning and 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.
AMLworld-Compact: Importance-Weighted Downsampling for Cost-Effective LLM Evaluation and Error Diagnosis. It centres on Benchmarks, and also names Hugging Face and GitHub. Reported by arXiv. Bharat Hunt files it under AI Research and Open Source AI — the section covering papers, benchmarks, evaluations, interpretability and safety results.
On-Board Anomaly Detection for Efficient Marine Environmental Monitoring. The story centres on Microsoft. Reported by arXiv. Bharat Hunt files it under AI Research and Enterprise AI — the section covering papers, benchmarks, evaluations, interpretability and safety results. Open the original report for the full detail.
Are These Programmers Ripe Enough to Eat? Evaluating How LLMs Handle Lexical Knowledge Conflicts in Translation. The story centres on Reliance Jio. Reported by arXiv. Bharat Hunt files it under AI Models and AI Research, and tracks it as India coverage — the section covering a new or updated model, its capabilities, benchmarks or availability.
BYOD: Build Your Own DLM - Efficient Autoregressive-to-Diffusion Language Model Conversion. It centres on Fine-tuning, and also names Gemma and Llama. Reported by arXiv. Bharat Hunt files it under AI Models and Generative AI — 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.