In the digital age, the application of artificial intelligence technology has become increasingly widespread, especially in the fields of data processing and information management. With the rapid development of deep learning technology, various AI models have emerged like mushrooms after rain. However, for some fields involving sensitive data and strict privacy requirements, how to fully … Read more
Author Introduction Jia Yunfei, Ph.D. in Philosophy, Postdoctoral Researcher at Jilin University’s Marxist Theory Postdoctoral Mobile Station.. Abstract Rapid development of digital technology has completely changed human material life and communication methods. Originally, digital technology could grasp the human living environment globally through big data, realizing humanity’s aspiration for a better life. Unfortunately, under the … Read more
The new issue of high-level papers is here This issue introduces the paper An efficient secure k nearest neighbor classification protocol with high-dimensional features Published in the INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS The authors are Yang Ruidi and her advisor, Professor Sun Maohua Part 01 Author Introduction Sun MaohuaINTERVIEW Born in 1986 in Shandong, China. … Read more
◎ Tech Daily Reporter Zhang Mengran Can machines learn, but can they forget? A friend said, “If you unplug the power without saving, won’t it forget!” The issue is not that simple. Learning to Forget: A Major Challenge for AI The purpose of machine learning is to use computers as tools to simulate human learning … Read more
Source：DeepHub IMBA This article is approximately 1200 words, recommended reading for 7 minutes Federated Learning (FL) is an excellent ML method that enables multiple devices (such as Internet of Things (IoT) devices) or computers to collaborate in model training without sharing their data. The “clients” are the computers and devices used in FL, which can … Read more
Since the launch of ChatGPT, generative artificial intelligence has become a hot topic in the field of AI development. The fundamental form of generative AI technology involves training large AI models using massive amounts of data, allowing them to learn the statistical patterns of human language texts and images/videos, and automatically generate the required digital … Read more
1. ChatGPT Data Privacy Compliance Issues Spark Global Regulatory Attention Since the “sudden emergence” of ChatGPT, AIGC (AI-Generated Content, generative artificial intelligence, hereinafter referred to as AIGC) has attracted significant attention from regulatory agencies worldwide. The chairman of the U.S. Federal Trade Commission (FTC) stated that generative AI will be “highly disruptive,” and the FTC … Read more
With the rapid development of artificial intelligence technology, GPT (Generative Pre-trained Transformer), as a leader in the field of natural language processing, undoubtedly brings unprecedented innovation to our digital society. However, with its widespread application, we should also pay attention to the security issues of GPT to ensure that its innovative power is not misused, … Read more
In today’s society, the potential and opportunities in the artificial intelligence market and application scenarios are undoubtedly enormous. Various industries are actively seizing this development opportunity, applying artificial intelligence in vertical fields and various application scenarios. However, in the early stages of AI development, we must thoughtfully consider and study the numerous issues that generative … Read more
Overview AI, short for artificial intelligence, refers to a technology that simulates human intelligence through computers. It can mimic human thought processes and behaviors, achieving various functions such as autonomous decision-making, learning, understanding, and communication. AI has sparked widespread innovation, benefiting many aspects of society and the economy—from business and healthcare to transportation and cybersecurity. … Read more