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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5345 stories
BranchIP: Learning Adaptive Equivariant Computation for Interatomic Potentials. 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.
Bellman Meets Lyapunov: Unsupervised Reinforcement Learning via Mastering Chaos. Reported by arXiv. Bharat Hunt files it under Robotics — the section covering embodied AI, humanoids, autonomous vehicles and drones. Open the original report for the full detail.
Implementing Multi-Environment Access for Claude Platform on AWS. It centres on Claude, and also names Amazon. Reported by AWS. Bharat Hunt files it under AI Models and AI Coding — the section covering a new or updated model, its capabilities, benchmarks or availability.
Near-Linear Accuracy Bounds for Moreau--Yosida Unadjusted Langevin Sampling. 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. Open the original report for the full detail.
MANET-GNN: Learned Decentralized Optimization of Power Allocation in Multi-Channel MANETs. The story centres on Inference. Reported by arXiv. Bharat Hunt files it under AI Models — the section covering a new or updated model, its capabilities, benchmarks or availability.
Reinforcement Learning-Guided Graph Transformations for SpTRSV Optimization. The story centres on Fine-tuning. 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.
Role-Adaptive Policy Optimization for Offline Reinforcement Learning. The story centres on Reliance Jio. Reported by arXiv. Bharat Hunt files it under AI Regulation, and tracks it as India coverage — the section covering law, policy, courts, standards and government positions on AI.
From Spectra to Joint Schedules in LLM Pre-training: 3+3(+2) Scaling-Law Regimes. 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.
From DNA Design to DNA Slimming: Auditable Agentic Discovery of a Deletion-Only Designer. The story centres on Benchmarks. Reported by arXiv. Bharat Hunt files it under AI Research and AI Agents — the section covering papers, benchmarks, evaluations, interpretability and safety results.
Prototype-Rule Neurosymbolic Regularization for Rank-Constrained Tensor Neural Networks under Label Scarcity. It centres on Inference, and also names Benchmarks. Reported by arXiv. Bharat Hunt files it under AI Research and AI in India, and tracks it as India coverage — the section covering papers, benchmarks, evaluations, interpretability and safety results.
Beyond Model Ranking: Regime Diagnosis for Distributional-Statistical Misspecification in Industrial Time-Series Forecasting. The story centres on 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.
Peak XV selects 18 startups for 12th Surge cohort, doubles down on AI and deep tech. Reported by YourStory. Bharat Hunt files it under AI Startups and Robotics, and tracks it as India coverage — the section covering company launches, pivots, hires and shutdowns at AI companies.
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.