In the past, web development was a challenging task for ordinary people and even statistic programmers. This is why tools like R Shiny emerged — they encapsulate various functional components, allowing statisticians unfamiliar with web development to create interactive web applications. However, with the rapid development of artificial intelligence technology, the barriers to web development … Read more
Hello everyone, I am Mr. Silicon Valley, a writer who continues to witness the present and future of the era through my eyes and pen. Recently, I received the annual summary from my WeChat public account and found that2024 indeed has fewer articles written; excluding a New Year blessing, there are only4 articles. The most … Read more
Source: AI Algorithms and Image Processing This article is about 4300 words, recommended reading time is 8 minutes. A detailed interpretation of the stable diffusion paper, you will understand it after reading this article! 1. Introduction (Can Be Skipped) Hello, everyone! I am Tian-Feng. Today, I will introduce some principles of stable diffusion in an … Read more
Selected from arxiv Translated by Machine Heart Editor: Rome Rome Stable Diffusion has learned the skill of “changing the sky and replacing the sun”. Every creative process begins with “imitation” and ends with “creation”. For AI, this learning process is the same. Recently, the open-source version of the Stable Diffusion text-to-image diffusion model has led … Read more
Machine Heart reports Machine Heart Editorial Team Can AI completely edit images according to client requests? With the help of GPT-3 and Stable Diffusion, models can instantly become Photoshop experts, editing images at will. After the rise of diffusion models, many people have focused on how to use more effective prompts to generate the desired … Read more
Click the “blue WeChat name” below the title to quickly follow This article was published in:Chinese Journal of Internal Medicine, 2025, 64(1): 4-10. Authors: Yan Minghai, Zhao Yanyan, Liu Xin, Li Wei, Wang Yang Cite this article:：Yan Minghai, Zhao Yanyan, Liu Xin, et al. Interpretation of the Transparent Reporting of a Multivariable Prediction Model for … Read more
“Most people never take a glance beyond this earthly world before they die.” — Liu Cixin, The Three-Body Problem In the process of learning and using new technologies, the yearning for new knowledge generates internal motivation. Internal motivation and interest are the two best teachers. When using large language models for writing, it is necessary … Read more
The development of Knowledge Graphs (KG) is closely linked to the advancements in Artificial Intelligence (AI) agents. Starting from their static origins, knowledge graphs have evolved to include dynamic, temporal, and event-driven paradigms, each unlocking new capabilities for AI systems. This article explores their evolution and how Large Language Models (LLM) integrate into these advancements. … Read more
↑ Click the above “Era Java” to follow us, Focus on New Technologies, Learn New Knowledge! Google’s latest white paper defines an AI Agent as a large model application that can observe the world, utilize tools, and take actions to achieve specific goals. It not only possesses autonomy but can also actively infer the next … Read more
The trend of AI Agents is beginning to spread to the Web3 gaming sector. On January 17, Solana officially promoted the ecological game fundraising platform Indie.fun, quickly attracting market attention. Indie.fun is a platform similar to Pump.fun, focused on providing community-driven fundraising support for game projects within the Solana ecosystem. What is the background of … Read more