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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76 stories
DyssomniaNN: Multi-Scale Spiking Neural Modeling of Human Sleep Disorders and Perceived Restedness. Reported by arXiv. Bharat Hunt files it under AI Regulation — the section covering law, policy, courts, standards and government positions on AI. Open the original report for the full detail.
Overview of BioASQ 2026: The fourteenth BioASQ Challenge on Large-Scale Biomedical Semantic Indexing and Question Answering. The story centres on Benchmarks. Reported by arXiv. Bharat Hunt files it under AI Research and AI Coding — the section covering papers, benchmarks, evaluations, interpretability and safety results.
Argo-Bench: Evaluating Data Agents on Enterprise-Scale Workflows. The story centres on Benchmarks. Reported by arXiv. Bharat Hunt files it under Enterprise AI and AI Funding — the section covering deployment inside businesses — platforms, adoption, cost, integration. Open the original report for the full detail.
Cepheid: Decoupling Scale from Structure for Cross-Family Motion Completion. The story centres on GitHub. Reported by arXiv. Bharat Hunt files it under Robotics and AI Coding — the section covering embodied AI, humanoids, autonomous vehicles and drones. Open the original report for the full detail.
When Does Scale-Invariant Optimization Become Unstable? An Exact Schedule Law with Weight Decay. The story centres on GitHub. Reported by arXiv. Bharat Hunt files it under AI Models — the section covering a new or updated model, its capabilities, benchmarks or availability.
A Balanced Data Diet: Addressing the Exploration Bottleneck in Mega-Scale RL for Robot Control. The story centres on GitHub. Reported by arXiv. Bharat Hunt files it under Robotics and AI Regulation — the section covering embodied AI, humanoids, autonomous vehicles and drones.
Nvidia weighs playing the cosigner for Nscale’s AI data center in West Virginia. It centres on NVIDIA, and also names Data Centers. Reported by TechCrunch. Bharat Hunt files it under AI Hardware and AI Funding — the section covering chips, accelerators, data centres, on-device inference and supply.
MS-GLA: Multi-Scale Gated Linear Attention for Addressing Representational Bottlenecks via Multi-Temporal Resolution. It centres on Perplexity, and also names Benchmarks. Reported by arXiv. Bharat Hunt files it under AI Models — the section covering a new or updated model, its capabilities, benchmarks or availability.
CompOrca: Corpus-Scale Compliance Labelling of Instruction-Tuning Data. It centres on Fine-tuning, and also names Benchmarks and Hugging Face. Reported by arXiv. Bharat Hunt files it under AI Regulation and Open Source AI — the section covering law, policy, courts, standards and government positions on AI.
recAMPLIFY: Large-Scale Pretraining of Recursive Protein Language Models. 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. Open the original report for the full detail.
Round-Trip KNN Clustering: multiscale hierarchical cluster detection on directed nearest-neighbour graphs. 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.
Pneuma: A Large-Scale Real-World Time Series Benchmark for Commercial Aircraft Predictive Maintenance. It centres on Benchmarks, and also names Inference. 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.
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.