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.
Ingestion is behind — last completed run was 9 hours ago.
News ingestion is temporarily unavailable.
The pipeline has not completed a run recently, so what is below may be behind. Nothing here is ever filled in with placeholder news.
From Scores to Evidence: Auditable Decisions Can Improve Speech Deepfake Detection. The story centres on Deepfakes. Reported by arXiv. Bharat Hunt files it under Generative AI — the section covering text, image, audio and video generation — products and their output.
Evolution of Multimodal Question Answering: From Modality-Adaptive Extraction to Unified Language Representation. It centres on Multimodal, and also names 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.
Q2D-Web: A Large-Scale Benchmark for Retrieval in Agentic RAG Systems. It centres on Benchmarks, and also names RAG and Hugging Face. 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.
OntoKG-EQ: A provenance-grounded, competency-question-governed knowledge graph for auditable analyst querying. The story centres on Benchmarks. Reported by arXiv. Bharat Hunt files it under AI Models — the section covering a new or updated model, its capabilities, benchmarks or availability.
API Benchmark Scores Do Not Reliably Transfer to Chatbot Interfaces. It centres on Benchmarks, and also names GPT and Claude. 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.
Earth System World Model for What-If Simulations: A Case Study for Terrestrial Ecosystems. 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.
PAC-Bayesian Bounds for Learning Partially Observed Stochastic Linear Time-Invariant State-Space Systems with Inputs and Sub-Gaussian Noise. 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.
Taxbit Assist: A grounded, role-aware AI agent on Amazon Bedrock AgentCore. The story centres on Amazon. Reported by AWS. Bharat Hunt files it under AI Agents and Enterprise AI — the section covering autonomous and tool-using systems, agent frameworks, MCP and orchestration.
Extend Claude Code to remote sessions on Amazon Bedrock AgentCore with security controls. It centres on Claude Code, and also names Amazon and GitHub. Reported by AWS. Bharat Hunt files it under AI Coding and AI Models — the section covering code generation, developer agents, IDEs and software engineering.
The Multiscale Single-Index Model: An MSE Analysis of Online SGD Dynamics. 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.
Autonomous Particle Image Velocimetry Using Zero-Shot Sim-to-Real Reinforcement Learning. Reported by arXiv. Bharat Hunt files it under Robotics and AI Funding — the section covering embodied AI, humanoids, autonomous vehicles and drones. Open the original report for the full detail.
Interpretable many-body interaction laws for collective motion from few trajectories. Reported by arXiv. Bharat Hunt files it under AI Models — the section covering a new or updated model, its capabilities, benchmarks or availability. Open the original report for the full detail.
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.