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Analysis

This article from 36Kr provides a concise overview of key events in the Chinese gaming industry during the week. It covers new game releases and tests, controversies surrounding in-game content, industry news such as government support policies, and personnel changes at major companies like NetEase. The article is informative and well-structured, offering a snapshot of the current trends and challenges within the Chinese gaming market. The inclusion of specific game titles and company names adds credibility and relevance to the report. The report also highlights the increasing scrutiny of AI usage in game development and the evolving regulatory landscape for the gaming industry in China.
Reference

The Guangzhou government is providing up to 2 million yuan in pre-event subsidies for key game topics with excellent traditional Chinese cultural content.

Analysis

This paper addresses a significant open problem in the field of nonlinear Schrödinger equations, specifically the long-time behavior of the defocusing Manakov system under nonzero background conditions. The authors provide a detailed proof for the asymptotic formula, employing a Riemann-Hilbert problem and the Deift-Zhou steepest descent analysis. A key contribution is the identification and explicit expression of a dispersive correction term not present in the scalar case.
Reference

The leading order of the solution takes the form of a modulated multisoliton. Apart from the error term, we also discover that the defocusing Manakov system has a dispersive correction term of order $t^{-1/2}$, but this term does not exist in the scalar case...

Robotics#Artificial Intelligence📝 BlogAnalyzed: Dec 27, 2025 01:31

Robots Deployed in Beijing, Shanghai, and Guangzhou for Christmas Day Jobs

Published:Dec 26, 2025 01:50
1 min read
36氪

Analysis

This article from 36Kr reports on the deployment of embodied AI robots in several major Chinese cities during Christmas. These robots, developed by StarDust Intelligence, are being used in retail settings to sell blind boxes, handling tasks from customer interaction to product delivery. The article highlights the company's focus on rope-driven robotics, which allows for more flexible and precise movements, making the robots suitable for tasks requiring dexterity. The piece also discusses the technology's origins in Tencent's Robotics X lab and the potential for expansion into various industries. The article is informative and provides a good overview of the current state and future prospects of embodied AI in China.
Reference

"Rope drive body" is the core research and development direction of StarDust Intelligence, which brings action flexibility and fine force control, allowing robots to quickly and anthropomorphically complete detailed hand operations such as grasping and serving.

Analysis

This news compilation from Titanium Media covers a range of business and technology developments in China. The financial regulation update regarding asset management product information disclosure is significant for the banking and insurance sectors. Guangzhou's support for the gaming and e-sports industry highlights the growing importance of this sector in the Chinese economy. Samsung's plan to develop its own GPUs signals a move towards greater self-reliance in chip technology, potentially impacting the broader semiconductor market. The other brief news items, such as price increases in silicon wafers and internal violations at ByteDance, provide a snapshot of the current business climate in China.
Reference

Samsung Electronics Plans to Launch Application Processors with Self-Developed GPUs as Early as 2027

Analysis

This article from 36Kr provides a concise overview of recent developments in the Chinese tech and business landscape. It covers a range of topics, including corporate compensation strategies (JD.com's bonus plan), advancements in AI applications (Meituan's "Rest Assured Beauty" and Qianwen App's user growth), industrial standardization (Tenfang Ronghai Pear Education's inclusion in the MIIT AI Standards Committee), supply chain infrastructure (SHEIN's industrial park), automotive technology (BYD's collaboration with Volcano Engine), and strategic partnerships in the battery industry (Zhongwei and Sunwoda). The article also touches upon investment activities with the mention of "Fen Yin Ta Technology" securing A round funding. The breadth of coverage makes it a useful snapshot of the current trends and key players in the Chinese tech sector.
Reference

According to Xsignal data, Qianwen App's monthly active users (MAU) exceeded 40 million in just 30 days of public testing.

Research#llm📝 BlogAnalyzed: Dec 25, 2025 10:40

Ro Yu Talks to HarmonyOS Developers: Young People Who Write Their Interests into the System

Published:Dec 25, 2025 10:36
1 min read
36氪

Analysis

This article from 36Kr highlights the growing HarmonyOS ecosystem by focusing on the experiences of developers who are creating applications for the platform. It emphasizes the personalized and user-centric approach of HarmonyOS, showcasing how developers are responding to niche needs and creating innovative solutions. The article uses specific examples, such as the podcast app Xiaoyuzhou and the visual creation platform Canva, to illustrate the benefits of developing for HarmonyOS, including rapid user growth and access to a large Chinese market. The narrative focuses on the positive feedback loop between developers and users, portraying HarmonyOS as a platform that values individual needs and fosters collaboration.
Reference

"In the HarmonyOS ecosystem, the first batch of users is the first batch of product consultants."

Research#LLM📝 BlogAnalyzed: Jan 3, 2026 07:14

Hattie Zhou: Teaching Algorithmic Reasoning via In-context Learning

Published:Dec 20, 2022 17:04
1 min read
ML Street Talk Pod

Analysis

This article highlights Hattie Zhou's research on teaching algorithmic reasoning to large language models (LLMs) using in-context learning and algorithmic prompting. It emphasizes the four key stages of her approach and the significant error reduction achieved. The article also mentions her background and collaborators, providing context and credibility to the research.
Reference

Hattie identifies and examines four key stages for successfully teaching algorithmic reasoning to large language models (LLMs): formulating algorithms as skills, teaching multiple skills simultaneously, teaching how to combine skills, and teaching how to use skills as tools.