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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13 stories
Profiling in PyTorch (Part 3): Attention is all you profile. The story centres on PyTorch. Reported by Hugging Face. Bharat Hunt files it under AI Models — the section covering a new or updated model, its capabilities, benchmarks or availability.
MPS in PyTorch 2.15. The story centres on PyTorch. Reported by Hugging Face. 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.
AI Models Can Provably Hide Arbitrary Capabilities. It centres on PyTorch, and also names Fine-tuning. Reported by arXiv. Bharat Hunt files it under AI Models and Enterprise AI — the section covering a new or updated model, its capabilities, benchmarks or availability.
Distributed training with Ray Train DLCs and EFA on EKS. It centres on PyTorch, and also names Amazon. Reported by AWS. Bharat Hunt files it under AI Hardware — the section covering chips, accelerators, data centres, on-device inference and supply.
Fault tolerant distributed training on Amazon EKS using NVRx. It centres on Amazon, and also names NVIDIA and PyTorch. Reported by AWS. Bharat Hunt files it under AI Hardware — the section covering chips, accelerators, data centres, on-device inference and supply.
Amazon is taking its biggest shot at Nvidia yet with new TorchNeuron dev tool. It centres on Amazon, and also names NVIDIA and PyTorch. Reported by TechCrunch. Bharat Hunt files it under AI Hardware and AI Tools — the section covering chips, accelerators, data centres, on-device inference and supply.
Beyond the KV cache: Training and serving i14’s Laplace 3B linear attention model on AWS Trainium2 with native PyTorch. It centres on Amazon, and also names PyTorch. Reported by AWS. Bharat Hunt files it under AI Models — the section covering a new or updated model, its capabilities, benchmarks or availability.
Google has joined Amazon in attacking Nvidia’s stronghold with AI app developers. It centres on Google, and also names Amazon and NVIDIA. Reported by TechCrunch. Bharat Hunt files it under AI Hardware and AI Coding — the section covering chips, accelerators, data centres, on-device inference and supply.
Architecting for Hardware Diversity: Meta's End-to-End Co-Design for High-Performance AI Training on AMD GPUs. It centres on Meta, and also names AMD and NVIDIA. Reported by arXiv. Bharat Hunt files it under AI Hardware and AI Research — the section covering chips, accelerators, data centres, on-device inference and supply.
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.
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.
Reproducible AI Requires Reproducible Randomness. It centres on Reliance Jio, and also names PyTorch and TensorFlow. Reported by arXiv. Bharat Hunt files it under AI Research and AI Tools, and tracks it as India coverage — the section covering papers, benchmarks, evaluations, interpretability and safety results.
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.