Source: Securities Times Network Author: Han Chengyu On June 17th local time, although the US stock market opened unstable, it soon returned to the state of "technology giants carrying the market". In this atmosphere, all three major indexes closed up, and the Nasdaq and S&P 500 indexes hit a new high again. On the same day, the "Three Giants" of the US stock market, within 15 minutes of opening, staged a "battle for the top market capitalization". Shortly after the market opened, the stock prices of Nvidia and Microsoft rose sharply. During this period, Nvidia's market value even surpassed Apple at one point, and was only $10 billion behind "stock king" Microsoft. As of the close, Microsoft's closing market value is still the first in the US stock market, Apple is second, and Nvidia is third. Nvidia's visual AI has made new breakthroughs. As of the close, Nvidia has given up its gains in early trading, and its latest market value has fallen to $3.22 trillion. On the same day, Nvidia's official website released four blogs in a row, introducing a series of achievements to be displayed at the International Conference on Computer Vision and Pattern Recognition (CVPR) in Seattle from June 17th to 21st, 2024. It is understood that as a top conference in the computer vision field, CVPR attracts top talents and companies in the fields of artificial intelligence, computer vision, and machine learning from around the world every year. On April 5th, the CVPR official wrote that a total of 11,532 valid papers were submitted this year, and 2,719 papers were accepted, with an acceptance rate of 23.6%. Compared with the 9,155 submitted papers and 2,359 accepted papers last year, the acceptance rate decreased by 2.2 percentage points. The themes of the papers cover 36 fields, among which image and video synthesis and production are the most popular research topics at CVPR 2024, covering a total of 329 papers. 3D vision, human behavior recognition and other topics are also popular research areas. According to Nvidia's official website, more than 50 projects will be displayed at CVPR. Two papers (one about the training dynamics of diffusion models, and the other about HD maps for autonomous driving cars) were shortlisted for the best paper award at CVPR. The projects cover many application fields such as creative industries, autonomous driving development, medical care, and robot technology. In particular, in the autonomous driving challenge at CVPR, Nvidia won the championship in the terminal driving category, demonstrating how to use generative AI models to achieve complex autonomous driving simulations. The Hydra-MDP model developed by the team performed well in the end-to-end driving scale category, surpassing more than 400 global entries. In addition, Nvidia also introduced a new image generation technology called JeDi, which can help users generate personalized images in seconds, significantly improving the efficiency and quality of image generation.
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On that day, the three giants of U.S. stocks$Microsoft (MSFT.US)$, $Apple (AAPL.US)$, $NVIDIA (NVDA.US)$After the opening bell, the "Three Giants" of the US stock market staged a "battle for the top market capitalization" within 15 minutes. Shortly after the market opened, the stock prices of Nvidia and Microsoft rose sharply. During this period, Nvidia's market value even surpassed Apple at one point, and was only $10 billion behind "stock king" Microsoft.

As of the close, Microsoft's closing market value is still the first in the US stock market, Apple is second, and Nvidia is third.

Nvidia's visual AI has made new breakthroughs.

As of the close, Nvidia has given up its gains in early trading, and its latest market value has fallen to $3.22 trillion. On the same day, Nvidia's official website released four blogs in a row, introducing a series of achievements to be displayed at the International Conference on Computer Vision and Pattern Recognition (CVPR) in Seattle from June 17th to 21st, 2024.

As a top conference in the computer vision field, CVPR attracts top talents and companies in the fields of artificial intelligence, computer vision, and machine learning from around the world every year. On April 5th, the CVPR official wrote that a total of 11,532 valid papers were submitted this year, and 2,719 papers were accepted, with an acceptance rate of 23.6%. Compared with the 9,155 submitted papers and 2,359 accepted papers last year, the acceptance rate decreased by 2.2 percentage points. The themes of the papers cover 36 fields, among which image and video synthesis and production are the most popular research topics at CVPR 2024, covering a total of 329 papers. 3D vision, human behavior recognition and other topics are also popular research areas.

According to Nvidia's official website, more than 50 projects will be displayed at CVPR. Two papers (one about the training dynamics of diffusion models, and the other about HD maps for autonomous driving cars) were shortlisted for the best paper award at CVPR. The projects cover many application fields such as creative industries, autonomous driving development, medical care, and robot technology. In particular, in the autonomous driving challenge at CVPR, Nvidia won the championship in the terminal driving category, demonstrating how to use generative AI models to achieve complex autonomous driving simulations. The Hydra-MDP model developed by the team performed well in the end-to-end driving scale category, surpassing more than 400 global entries. In addition, Nvidia also introduced a new image generation technology called JeDi, which can help users generate personalized images in seconds, significantly improving the efficiency and quality of image generation.

Nvidia's research team also introduced NVIDIA Omniverse Cloud Sensor RTX, a physically accurate sensor simulation microservice designed to accelerate the development of fully automated machines. These microservices allow developers to test sensor perception and related AI software in lifelike virtual environments, thereby enhancing security, saving time, and reducing costs before deployment in the real world. The technology is built on the OpenUSD framework and uses Nvidia RTX's ray tracing and neural rendering technology to speed up the creation of simulation environments.

Overnight, Microsoft and Apple alternated to take the top spot in the world's stock market, and ultimately, with Apple ($3.32 trillion) weakening in the final stage of trading, Microsoft ($3.33 trillion) regained the first place with a slight advantage.

According to market capitalization, Microsoft's stock value was once again higher than Apple's, and it has become the top company in the world's stock market.

Microsoft seems to be far ahead of Apple in the field of artificial intelligence. Before ChatGPT became a well-known name, Microsoft had invested $1 billion in its developer OpenAI, and enabled early AI enhancement in Bing search, the Windows operating system, and Office productivity applications. However, Apple announced the integration of OpenAI's technology into iPhone and Mac products on June 10th, making Microsoft's leading advantage no longer significant. Analysts believe that while the features demonstrated by Apple may be limited, they are seamless and simple, such as context-based photo search and sharing custom emojis. As Microsoft's role in daily life is limited, the practical use of its AI applications is limited.

Institutions analyze that Apple launched the personalized intelligent system Apple Intelligence on the first day of WWDC 2024 and updated the operating systems including visionOS, iOS, iPadOS, and macOS. Although the AI features released by Apple are similar to existing features on Android, they are difficult to attract Android users to switch. But these features improve Apple's internal ecosystem, especially since they are only available on iPhone 15 Pro/Max and later models, which may promote existing Apple users to upgrade their devices. In addition, these AI features will be provided to users for free, and the continuous decline in model API costs in the future is expected to promote the popularity of AI phones.

Editor/Somer