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The article introduces MindMemOS, a portable and self-evolving memory operating layer for AI agents that uses a unified entity-property-time structure, with algorithms for memory refinement and skill evolution. It achieves notable accuracy on LOCOMO and PersonaMem benchmarks and improves SpreadsheetBench performance by 9.2 percentage points.
Cao Zheng joked that Huawei seems to have introduced a high-tech coating that lets off-road vehicles go off-road without leaving tracks and stay free of mud, suggesting Huawei switch to selling paint.
A complaint about Huawei's PR strategy, claiming it attempts to respond to public criticism by denying someone's nationality.
Recommends the nearly 5-hour interview with Liao Heng, Chief Scientist of Huawei Semiconductor. The content is detailed, showcasing the confidence of China's AI hardware development, and compares with Liang Wenfeng representing the software side of China's AI.
A look at how foldable phones have matured from fragile, experimental devices into a more boring but stable market segment, and what that means for Apple's eventual entry.
At WAIC 2026 in Shanghai, Huawei showcased AI-driven research tools across neuroscience, life sciences, and intelligent instrumentation, highlighting shorter R&D cycles with platforms like Brainμ, ScienceOne Omni, and Owl·AuraID.
Introduces AgenticCANN, a knowledge-augmented agentic evolution framework for automated Ascend C operator generation on Huawei NPUs, achieving significant speedups and improved feasibility across multiple operator patterns.
CANN Bench is an open benchmark for evaluating AI-generated operator kernels on Huawei's Ascend NPU, covering 53 operators and 1060 test cases across multiple precision formats and difficulty tiers.
Recommend Li Bojie (Huawei's genius boy) AI Agent practice book, content based on actual teaching and code practice, focusing on hands-on practicality.
A Micron engineer questions whether Huawei's proposed "Tau (τ) Law" is a revolutionary breakthrough, arguing it merely repackages existing technologies like advanced packaging, and criticizes the frequent "little essays" and "fanfare" narratives in China's semiconductor sector as lacking substance.
Chinese companies are increasingly allocating AI accelerator budgets to domestic suppliers like Huawei and Hygon, reducing reliance on Nvidia amid US-China tensions. A Bloomberg survey shows 46% of spending will go to domestic products in the next year, up from 30%.
Goldman Sachs released a report stating that China's AI data center investment will reach 2 trillion RMB in the next five years, but domestic chips are actually more expensive in terms of computing power cost than imported ones, with a significant gap between Huawei and Nvidia, and the China-US AI computing power battle is just beginning.
An analysis of how Meituan's LongCat Lab trained the LongCat 2.0 model on Huawei's 910C AI chips and CloudMatrix superpods, showcasing China's AI ecosystem overcoming US export controls. The article highlights Meituan's strategic pivot to an AI-driven lifestyle super app and Huawei's innovations in AI factory infrastructure.
Huawei open-sources OpenPangu-2.0-Flash, a 92B-parameter MoE model with 6B active parameters and 512K context, along with inference code and training operations.
A discussion about the risk of Chinese open-source AI models gaining market share and being optimized on Huawei chips, while the US lags in data center construction, as highlighted by Aravind Srinivas and Xiaoyin Qu.
Huawei press conference announced that the Pangu large model will make a comeback, planning to open-source weights on June 20, claiming it may surpass Claude and GPT to become the world's best.
A user asks about buying Chinese AI accelerators/GPUs for inference, specifically looking for Huawei alternatives to Nvidia, with support for vLLM or Llama.cpp.
A user questions why Huawei's Atlas cards are not widely adopted and speculates on China's potential to produce consumer GPUs to challenge Nvidia's monopoly.
Huawei announced openPangu 2.0, an open-source large model with 505B total parameters and a 28:1 sparsity ratio, optimized for Ascend computing and HarmonyOS, with key components to be open-sourced starting June 30.
China is reportedly planning a $295 billion investment in AI data centers over five years, prioritizing domestic suppliers like Huawei to reduce reliance on US chipmakers such as Nvidia.