


Empowering a new financial ecosystem, several banks' innovative application results were unveiled at the World Artificial Intelligence Conference
Empowering a new financial ecosystem, many banks’ innovative application results were unveiled at the World Artificial Intelligence Conference
As technological breakthroughs continue to be made in the field of artificial intelligence, innovative applications are rapidly promoting the development of all walks of life. The Bank of China, China Construction Bank, etc. presented the latest application breakthroughs in digital intelligence empowerment in the financial field at the 2023 World Artificial Intelligence Conference.
With the theme of "digital intelligence empowering the future", Bank of China has designed and created five distinctive sections to demonstrate Bank of China's ability to empower channel operations, business innovation, business management, marketing services, risk prevention and control and other business areas under the guidance of new technologies. The innovative application results convey the future digital, intelligent, and open transformation and development concepts of banks. At the exhibition site, Bank of China led the audience to carry out a time travel of "Toward the Future 2112", starting from "opening a new chapter for future banking", "enjoying new opportunities for global development", "creating new business incubation models", "building new customer marketing formats" and "expanding "New Space for Financial Services" in five dimensions, imagining new banking formats in 2112. Bank of China Shanghai Branch vividly demonstrated its innovative achievements in the development of inclusive finance and personal finance business empowered by financial technology at this conference.
Participating in the exhibition for six consecutive years, China Construction Bank has become an "old friend" of the World Artificial Intelligence Conference. CCB will showcase its "ecosystem" that brings together cutting-edge technology, financial scenarios and innovative business models at this conference, as well as numerous scientific and technological achievements. A blue Möbius strip symbolizing "ecological integration" and "unbounded future" winds up and down, leading the three main display areas of "Science and Technology Power", "Data Capital Shanghai" and "Beautiful Life", and has a strong impact on CCB's focus on the B-side. The new financial practices of empowering, strengthening C-side breakthroughs, and promoting G-side links are presented in an all-round and multi-angle manner, outlining CCB's high-spirited attitude of "jointly building a bright future for the financial ecological smart chain."
In Shanghai, the China Construction Bank branch launched a comprehensive financial service for the technology industry under the brand of "Jianhu Chain", making an eye-catching appearance. Each chain can be triggered by induction, allowing the audience to understand the detailed information and specific content of this major category of products. At the exhibition site, CCB also built a "Government Affairs Hall around the people", so that initiatives to actively promote smart government empowerment and governance can meet the public in a demonstrable and experiential way. With the help of smart terminals, CCB has opened up the "last mile" of government services. Through the terminal, the public can easily check information such as local police stations and marriage registration files, and enjoy the convenience and considerate services brought by CCB’s smart government affairs.
As the only centrally managed financial institution headquartered in Shanghai, and also the co-chairman unit of the Shanghai Financial Technology Industry Alliance, Bank of Communications relies on its layout in financial technology and digital transformation to empower high-quality development with innovation and Integrate digital transformation results into all aspects of urban development.
This time, we have set up a joint news live broadcast room with Youth Daily·Youth Shanghai. The Shanghai Branch of Bank of Communications will interpret the application prospects of artificial intelligence technology in the financial field for the audience through a professional financial perspective, and introduce the long-term success of Bank of Communications. The mechanism supports the development of key areas such as artificial intelligence, cloud computing and big data, promotes specific measures to tackle key core technology projects, and presents more diversified Bank of Communications financial services to the audience.
Text: Must be both
Editor: Zhu Yikai
* Please indicate when reprinting from Pudong official WeChat
The above is the detailed content of Empowering a new financial ecosystem, several banks' innovative application results were unveiled at the World Artificial Intelligence Conference. For more information, please follow other related articles on the PHP Chinese website!

Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

AI Hentai Generator
Generate AI Hentai for free.

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics



This site reported on June 27 that Jianying is a video editing software developed by FaceMeng Technology, a subsidiary of ByteDance. It relies on the Douyin platform and basically produces short video content for users of the platform. It is compatible with iOS, Android, and Windows. , MacOS and other operating systems. Jianying officially announced the upgrade of its membership system and launched a new SVIP, which includes a variety of AI black technologies, such as intelligent translation, intelligent highlighting, intelligent packaging, digital human synthesis, etc. In terms of price, the monthly fee for clipping SVIP is 79 yuan, the annual fee is 599 yuan (note on this site: equivalent to 49.9 yuan per month), the continuous monthly subscription is 59 yuan per month, and the continuous annual subscription is 499 yuan per year (equivalent to 41.6 yuan per month) . In addition, the cut official also stated that in order to improve the user experience, those who have subscribed to the original VIP

Improve developer productivity, efficiency, and accuracy by incorporating retrieval-enhanced generation and semantic memory into AI coding assistants. Translated from EnhancingAICodingAssistantswithContextUsingRAGandSEM-RAG, author JanakiramMSV. While basic AI programming assistants are naturally helpful, they often fail to provide the most relevant and correct code suggestions because they rely on a general understanding of the software language and the most common patterns of writing software. The code generated by these coding assistants is suitable for solving the problems they are responsible for solving, but often does not conform to the coding standards, conventions and styles of the individual teams. This often results in suggestions that need to be modified or refined in order for the code to be accepted into the application

To learn more about AIGC, please visit: 51CTOAI.x Community https://www.51cto.com/aigc/Translator|Jingyan Reviewer|Chonglou is different from the traditional question bank that can be seen everywhere on the Internet. These questions It requires thinking outside the box. Large Language Models (LLMs) are increasingly important in the fields of data science, generative artificial intelligence (GenAI), and artificial intelligence. These complex algorithms enhance human skills and drive efficiency and innovation in many industries, becoming the key for companies to remain competitive. LLM has a wide range of applications. It can be used in fields such as natural language processing, text generation, speech recognition and recommendation systems. By learning from large amounts of data, LLM is able to generate text

Large Language Models (LLMs) are trained on huge text databases, where they acquire large amounts of real-world knowledge. This knowledge is embedded into their parameters and can then be used when needed. The knowledge of these models is "reified" at the end of training. At the end of pre-training, the model actually stops learning. Align or fine-tune the model to learn how to leverage this knowledge and respond more naturally to user questions. But sometimes model knowledge is not enough, and although the model can access external content through RAG, it is considered beneficial to adapt the model to new domains through fine-tuning. This fine-tuning is performed using input from human annotators or other LLM creations, where the model encounters additional real-world knowledge and integrates it

Editor |ScienceAI Question Answering (QA) data set plays a vital role in promoting natural language processing (NLP) research. High-quality QA data sets can not only be used to fine-tune models, but also effectively evaluate the capabilities of large language models (LLM), especially the ability to understand and reason about scientific knowledge. Although there are currently many scientific QA data sets covering medicine, chemistry, biology and other fields, these data sets still have some shortcomings. First, the data form is relatively simple, most of which are multiple-choice questions. They are easy to evaluate, but limit the model's answer selection range and cannot fully test the model's ability to answer scientific questions. In contrast, open-ended Q&A

Machine learning is an important branch of artificial intelligence that gives computers the ability to learn from data and improve their capabilities without being explicitly programmed. Machine learning has a wide range of applications in various fields, from image recognition and natural language processing to recommendation systems and fraud detection, and it is changing the way we live. There are many different methods and theories in the field of machine learning, among which the five most influential methods are called the "Five Schools of Machine Learning". The five major schools are the symbolic school, the connectionist school, the evolutionary school, the Bayesian school and the analogy school. 1. Symbolism, also known as symbolism, emphasizes the use of symbols for logical reasoning and expression of knowledge. This school of thought believes that learning is a process of reverse deduction, through existing

Editor | KX In the field of drug research and development, accurately and effectively predicting the binding affinity of proteins and ligands is crucial for drug screening and optimization. However, current studies do not take into account the important role of molecular surface information in protein-ligand interactions. Based on this, researchers from Xiamen University proposed a novel multi-modal feature extraction (MFE) framework, which for the first time combines information on protein surface, 3D structure and sequence, and uses a cross-attention mechanism to compare different modalities. feature alignment. Experimental results demonstrate that this method achieves state-of-the-art performance in predicting protein-ligand binding affinities. Furthermore, ablation studies demonstrate the effectiveness and necessity of protein surface information and multimodal feature alignment within this framework. Related research begins with "S

According to news from this website on July 5, GlobalFoundries issued a press release on July 1 this year, announcing the acquisition of Tagore Technology’s power gallium nitride (GaN) technology and intellectual property portfolio, hoping to expand its market share in automobiles and the Internet of Things. and artificial intelligence data center application areas to explore higher efficiency and better performance. As technologies such as generative AI continue to develop in the digital world, gallium nitride (GaN) has become a key solution for sustainable and efficient power management, especially in data centers. This website quoted the official announcement that during this acquisition, Tagore Technology’s engineering team will join GLOBALFOUNDRIES to further develop gallium nitride technology. G
