AI Popular Science 18 Essential Algorithms in Machine Learning Neural Networks The 21st century is an information age, as well as a big data age. For traditional methods and tools, processing and analyzing massive amounts of data is a huge challenge. At this time, neural networks emerged as a powerful machine learning tool, demonstrating great … Read more
Large models are showing an explosive growth trend (more parameters / greater computational power requirements). With the continuous advancement of algorithm and computational technologies, large models will further evolve into more advanced and powerful versions, being applied in an increasing number of fields to generate more beautiful dialogues and content for humanity. Source: Xinhua News … Read more
This article is reprinted from the public account Brother Biao has something to say Source: Internet Below is a comprehensive glossary of 725 machine learning terms compiled by several authoritative experts in machine learning, which is very comprehensive and worth collecting! English Term Chinese Translation 0-1 Loss Function 0-1 Loss Function Accept-Reject Sampling Method Accept-Reject … Read more
With the increasing popularity of Artificial Intelligence (AI) technology, various algorithms play a key role in driving the development of this field. From linear regression for predicting housing prices to neural networks for self-driving cars, these algorithms silently support the operation of countless applications. Today, we will take you through these popular artificial intelligence algorithms … Read more
The three fundamental elements of artificial intelligence are data, computing power, and algorithms, which are interdependent and mutually supportive, driving the rapid development of artificial intelligence. This article will outline the current development status of cutting-edge artificial intelligence from the perspective of algorithms and models. ｜Status of Algorithm and Model Development As one of the … Read more
Original works only, first published, no reprints. Generally speaking, the theoretical basis for license plate recognition is image segmentation and image recognition theory: First, analyze and process the image containing the vehicle license plate to determine the position of the license plate in the image and extract the license plate area, and then further recognize … Read more
Vector distance is crucial in various fields such as mathematics, physics, engineering, and computer science. They are used to measure physical quantities, analyze data, identify similarities, and determine the relationships between vectors. This article provides an overview of vector distance and its applications in data science. What Is Vector Distance? Vector distance, also known as … Read more
Source: Machine Heart This article is about 4500 words long and is recommended to be read in 5 minutes. What can a 13-layer Transformer do? It can simulate a basic calculator, a basic linear algebra library, and execute an in-context learning algorithm using backpropagation. Transformers have become a popular choice for various machine learning tasks, … Read more
Depending on the goals we wish to achieve and the criteria by which we measure success, there are various methods to create artificial intelligence. The scope is extremely broad, ranging from highly complex systems like autonomous driving and robotics to common components of our daily lives, such as facial recognition, machine translation, and email classification, … Read more
Author: Chen Zhiyan This article is about 3000 words long and is recommended to be read in 7 minutes. The future of intelligent agents is full of infinite possibilities. Introduction In this age of information explosion, have you ever imagined having smooth conversations with machines, or letting AI help you create stunning articles? All of … Read more