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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710 stories
AdaStep: Adaptive Step Credit Weighting for Agentic Reinforcement Learning. The story centres on Inference. Reported by arXiv. Bharat Hunt files it under AI Agents — the section covering autonomous and tool-using systems, agent frameworks, MCP and orchestration. Open the original report for the full detail.
Accelerate multimodal RL training with SkyRL on Amazon SageMaker HyperPod. It centres on Multimodal, and also names Amazon and Inference. Reported by AWS. Bharat Hunt files it under AI Models and Open Source AI — the section covering a new or updated model, its capabilities, benchmarks or availability.
KernelOPT: Dispatch-Aware Agentic Search for GPU Kernel Optimization. It centres on Inference, and also names PyTorch. Reported by arXiv. Bharat Hunt files it under AI Agents and AI Hardware — the section covering autonomous and tool-using systems, agent frameworks, MCP and orchestration.
Generative Marketing Mix Modeling: A Causal Inference Framework Linking GEO and GEM to Business Impact. The story centres on Inference. Reported by arXiv. Bharat Hunt files it under Enterprise AI — the section covering deployment inside businesses — platforms, adoption, cost, integration.
U-NeXt: General-purpose event detection for neonatal EEG. It centres on Benchmarks, and also names Inference. 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.
Broadband Mid-Wave Infrared Imaging Enabled by All-Silicon Hyperboloid Metalens. The story centres on Meta. Reported by arXiv. Bharat Hunt files it under AI Hardware — the section covering chips, accelerators, data centres, on-device inference and supply. Open the original report for the full detail.
Efficient Edge-aware Attention Network for Graph Generation. The story centres on PyTorch. Reported by arXiv. Bharat Hunt files it under AI Hardware — the section covering chips, accelerators, data centres, on-device inference and supply. Open the original report for the full detail.
PaPi: Parallel Picard-Duhamel Integration for Fast Neuro-Spectral Architectures. The story centres on Inference. Reported by arXiv. Bharat Hunt files it under Enterprise AI — the section covering deployment inside businesses — platforms, adoption, cost, integration. Open the original report for the full detail.
Taking the PULSE of Medical Reasoning: Step-Level Retrieval Timing for Knowledge-Grounded Inference. It centres on Inference, and also names Benchmarks. Reported by arXiv. Bharat Hunt files it under AI Research — the section covering papers, benchmarks, evaluations, interpretability and safety results.
Run multi-node inference workloads using Ray LLM Deep Learning Containers. It centres on Inference, and also names Amazon and OpenAI. Reported by AWS. Bharat Hunt files it under AI Hardware and Enterprise AI — the section covering chips, accelerators, data centres, on-device inference and supply.
AudioTETRIS: Token Elimination via Transitional Importance Signals for Efficient Audio LLMs. It centres on Inference, and also names Phi and Multimodal. Reported by arXiv. Bharat Hunt files it under AI Models — the section covering a new or updated model, its capabilities, benchmarks or availability.
Open-MMUnlearning: Unifying Methods and Evaluation for MLLM Unlearning. It centres on Benchmarks, and also names Multimodal and Inference. Reported by arXiv. Bharat Hunt files it under AI Regulation and AI Research — the section covering law, policy, courts, standards and government positions on AI.
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.