Have you ever encountered a situation where you ask an AI a question, and it provides you with a particularly detailed and logical-sounding answer? However, when we fact-check it, we find that the information is completely fabricated? This is the famous ‘AI Hallucination’ phenomenon. Scroll up and down to see more, image source: 河森堡 新浪微博 … Read more
Click the “blue text” above to follow us! Abstract Abstract: Architectural renderings can realistically simulate buildings and their effects after design completion, making them a necessary part of design expression in architectural education and a key component of architectural space visualization. However, traditional rendering methods are not only complex in software settings but also require … Read more
Source: CloudB Computational Thinking and Beauty This article is about 2200 words long and is recommended for a 7-minute read. How can "humans" do what they excel at and leave the rest to machines. [ Introduction ]Machine learning has been leading the development of artificial intelligence since the 1980s. Its significant contribution to AI is … Read more
Source: AI Technology Review, DataPi THU This article is about 7100 words long and is recommended for a 13-minute read. It summarizes the historical origins of several foundational algorithms in the field of machine learning. Recently, Andrew Ng updated a blog post on his founded AI Weekly, “The Batch”, summarizing the historical origins of several … Read more
Introduction to Lesson 7: “Layers, Toposes, and Machine Learning” In addition to defining specific categories to study concrete machine learning methodologies, one can also generalize the ideas contained in machine learning and connect them with cutting-edge algebraic geometry, higher-order topology, and logic in modern mathematics. This direction explores from a mathematical perspective the foundational architectures … Read more
█ What Exactly Is AI?AI is an abbreviation for artificial intelligence. Artificial, many students may misinterpret as some adjective related to art. In fact, artificial means “man-made,” which is the opposite of natural. Intelligence is not easily misinterpreted; it means “intelligence.” The name of Intel Corporation is based on the first five letters of this … Read more
Introduction Tesla’s FSD has popularized self-supervised learning, and large models like GPT also utilize the concept of self-supervised learning. As we know, the cost of supervised learning is prohibitively high, especially for complex tasks, such as FSD systems. Tesla has collected training data exceeding 400 million kilometers, and without the help of an “automated labeling … Read more
Originally published on the frontier of deep learning technology Author: I want to encourage Nazha @ ZhihuSource: https://zhuanlan.zhihu.com/p/89587997Editor: Jishi Platform Introduction As the autumn recruitment season is underway, this article collects relevant interview questions in the field of deep learning & computer vision, covering various aspects such as deconvolution, neural networks, object detection, etc., making … Read more
Click the above“Beginner’s Guide to Vision”, select “Add to Favorites” or “Pin” Important content delivered promptly In this article, researchers from the Department of Mechanical Engineering at the University of California, Riverside, demonstrate the feasibility of a hybrid computer vision system through the application of optical vortices. This research provides new insights into the role … Read more
Abstract This article establishes a data-driven model for predicting f-CaO in clinker using a fully connected neural network based on the TensorFlow+Keras deep learning framework. The model is trained with the Nadam optimizer, showing better robustness compared to SGD (Stochastic Gradient Descent). Furthermore, this article introduces the implementation method for real-time prediction of f-CaO content … Read more