Exploring the Future of AI, Robotics, and Semiconductor Industries

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The main forces in the capital market may use various means to cover up the truth; anything can be deceptive, but data does not lie. By recording and analyzing data, you will grasp the trends and the secrets to wealth.
Market transaction and main fund data:
On October 8, the transaction was 3.5 trillion, a historical high.

On October 9, the transaction was 2.97 trillion, with a net inflow of -184.6 billion from the main forces.

On November 1, the transaction was 2.23 trillion,with a net inflow of -131.8 billion from the main forces.
On November 12, the transaction was 2.59 trillion,with a net inflow of -134.3 billion from the main forces.
On December 12, the transaction was 1.88 trillion,with a net inflow of -21.4 billion.
On December 13, the transaction was 2.09 trillion,with a net inflow of -82.6 billion.
The minutes from the meeting did not contain any new content, and there was significant selling pressure on Friday, resulting in a market downturn.
Regarding selling pressure, most people do not have professional software. There are some simple methods to judge the strength of market sentiment on the day, such as the number of rising and falling stocks, which is very intuitive. Generally, based on the current market conditions, if the number of rising and falling stocks is less than 1000, meaning that the number of rising stocks does not exceed 20%, the market is generally not very good. From the number of rising and falling stocks below, market sentiment is at a freezing point, and the loss effect is obvious.
Exploring the Future of AI, Robotics, and Semiconductor Industries
Additionally, during trading, you can directly rank all stocks by transaction amount. Once you find that the stocks ranked at the top are very strong, for example, if many are in the red and there are limit downs among the top 27 today, then the market sentiment on that day is likely to be poor.
Exploring the Future of AI, Robotics, and Semiconductor Industries
From the major indices below, today’s market is at a freezing point, and the loss effect is obvious.
Exploring the Future of AI, Robotics, and Semiconductor Industries
The sectors expected to perform well and generate profits in the future are artificial intelligence, robotics, and semiconductor chips, for your reference.
Artificial Intelligence:
Exploring the Future of AI, Robotics, and Semiconductor Industries
The ranking of increases is as follows:
Exploring the Future of AI, Robotics, and Semiconductor Industries
Robotics:
Exploring the Future of AI, Robotics, and Semiconductor Industries
Exploring the Future of AI, Robotics, and Semiconductor Industries
Semiconductor Chips:
Exploring the Future of AI, Robotics, and Semiconductor Industries
Exploring the Future of AI, Robotics, and Semiconductor Industries
Market leaders known as the “Four Little Dragons of Edge AI” – Espressif Technology, Zhongke Lanyun, Juchip Technology, and Hengxuan Technology have been continuously strong during this period, successively reaching historical highs or recent highs. Despite significant adjustments in the market on Friday, the four dragons remained strong.
To make money in the stock market, one must put in effort to analyze data, industries, and trends. Many effective conclusions can be drawn from the above analysis.
On December 14, the Ascend AI Framework Summit was held, where 18 organizations released results based on the Ascend native development large model. As the AI framework ecosystem enters a “deep water zone,” the Ascend ecosystem continues to expand, with several listed companies becoming the main forces in the construction of the Ascend ecosystem.
At the conference, companies such as Zhipu, Mianbi Intelligent, Baichuan Intelligent, iFlytek, China Telecom, China Mobile, China Unicom, Pengcheng Laboratory, SenseTime, CloudWalk Technology, the Institute of Automation of the Chinese Academy of Sciences, and the Shanghai AI Laboratory released results of Ascend native models.
The Chinese Academy of Sciences Science and Technology Strategy Consulting Research Institute predicts thatthe market share of the Ascend AI framework in China will reach 30% in 2024, with 18 organizations releasing results based on the Ascend native development large model, marking that Ascend has entered the first tier of global mainstream AI frameworks. Huawei’s President of the ICT Strategy and Business Development Department, Peng Honghua, stated that AI frameworks are the operating systems and software bases of the AI era, providing developers with efficient and convenient development platforms, accelerating technological innovation and application landing in artificial intelligence. Huawei has always adhered to building an open computing industry ecosystem, insisting on core technology innovation, and working with the industry to create a solid and sustainable computing industry ecosystem. Leading AI frameworks need to simultaneously possess “higher efficiency, greater agility, and more openness” in terms of technology and ecosystem capabilities.

In the future, Huawei will continue to invest in Ascend MindSpore, insisting on an open-source approach to share technological innovation results with the industry, collaborating with industry clients, partners, and developers to promote the healthy and rapid development of the Chinese AI framework ecosystem.

Ascend MindSpore: is a new generation of full-scenario AI framework launched by Huawei in August 2019. It aims to create a new AI programming paradigm, lowering the threshold for developers, and providing a developer-friendly, efficient running, and flexible deploying AI framework.

On March 28, 2020, Huawei announced the official open-source of Ascend MindSpore.

Over the past four years, Ascend has developed rapidly. Currently, it has incubated and supported more than 50 mainstream large models at home and abroad;the open-source version has accumulated 11 million downloads, covering more than 2400 cities in over 130 countries and regions worldwide; the Ascend open-source community has gathered over 37,000 developers, with global downloads exceeding 11 million, entering the first tier of global mainstream AI frameworks. Ascend has collaborated with over 360 universities and research institutes for teaching and research cooperation, and united over 1700 ecological partners to create more than 2000+ solutions.

The ecosystem continues to expand. As the AI framework ecosystem enters the “deep water zone,” the Ascend ecosystem also continues to expand.

According to publicly available data,Softcom, iFlytek, CloudWalk Technology, SenseTime, Kunlun Wanwei, China Telecomand other listed companies have become the main forces in the construction of the Ascend ecosystem.

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Exploring the Future of AI, Robotics, and Semiconductor Industries

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