📑 Table of Contents

📊 Token usage: estimated from retrieval and writing scale.

Covers the latest AI research, open source and industry moves, updated daily.


Editor’s Note

OpenAI released its first self-developed inference chip, Jalapeño, fabbed by Broadcom with far better efficiency than existing solutions; Qualcomm acquired Modular for $3.92B, challenging Nvidia’s CUDA monopoly. On the paper side: TransPrune’s 60% inference speedup, DeepSeek V4’s 92% linear scaling on Ascend, and CXMT’s 3D-stacked HBM.

1. Latest arXiv Papers

  1. Emergent Topic Detection LLM for Service Feedback, Improving Public Service Fairnesshttps://arxiv.org/abs/2606.26595

  2. TransPrune: Tracking Visual Token Evolution for Lossless Compression with 60% Inference Speedup (CVPR 2026)https://arxiv.org/abs/2507.20630

  3. ICML 2026 Position Paper: Universal Aesthetic Alignment Is Narrowing the Expressive Diversity of AI-Generated Arthttps://arxiv.org/abs/2512.11883

  4. DeepSeek V4 Completes Thousand-Card Training on Ascend — 92% Linear Speedup

  5. CXMT SPHBM4 Technical Paper: 3D-Stacked HBM with 80% Higher Bandwidth, 50% Better Efficiency

  6. A Safety Framework for Multi-Agent Collaboration — 99.7% Attack Interception

  7. Edge Federated Learning Optimization: Data Stays Local with <2% Accuracy Loss

  8. Zero-Shot Sim-to-Real Transfer for Embodied AI — 35% Higher Transfer Success

Join the discussion

Comments powered by GitHub Discussions, stored in the hackcv/blog repo; sign in with a GitHub account to join. Markdown and emoji supported.

Comments powered by GitHub Discussions, stored in the hackcv/blog repo; sign in with a GitHub account to join. Markdown and emoji supported.