↑↑↑ Follow “Star Mark” Datawhale Daily Insights & Monthly Study Groups, Don’t Miss Out Datawhale Insights Focus: Neural Networks, Source: Artificial Intelligence and Algorithm Learning Neural networks are the carriers of deep learning, and among neural network models, the most classic non-RNN model belongs here. Although it is not perfect, it possesses the ability to … Read more
Editorial Department WeChat Official Account KeywordsSearch across the webLatest Ranking 『Quantitative Investment』: Ranked First 『Quantitative』: Ranked First 『Machine Learning』: Ranked Third We will continue to work hard To become a qualityfinancial and technical public account across the web Today we will read an article from Guosen Securities Research Introduction to RNN The biggest feature that … Read more
Renormalization group is a fundamental concept in physics research. It is not only a powerful tool for studying phase transitions and critical phenomena, as well as strong coupling problems, but it also shapes physicists’ worldview: physics is an effective theory about the emergence of phenomena at different scales and energy levels. In the practical applications … Read more
Neuromorphic computing is a brain-like computing paradigm, generally referring to running Spiking Neural Networks (SNN) on neuromorphic chips. Essentially, neuromorphic computing is a design paradigm driven by algorithms. With its low-power advantages, neuromorphic computing is also considered a “potential substitute” for traditional AI. Understanding neuromorphic computing should be approached from a system level, rather than … Read more
5.4 The Intellectual The Intellectual Image Source: Freepik ● ● ● Written by｜Zhang Tianrong As physicist and Manhattan Project leader Oppenheimer said, “We are not just scientists; we are also human.” Where there are humans, there is a community, and the scientific world is no exception. People often say that “science knows no borders, but … Read more
Machine Heart reported Machine Heart Editorial Department Can neural networks complete various tasks without learning weights? Are the image features learned by CNN just what we think they are? Are neural networks merely combinations of functions with no other meaning? From this paper, the answers to these questions seem to be affirmative. Yesterday, a paper … Read more
Baidu NLP Column Author: Baidu NLP 1. Introduction Text matching is an important foundational problem in natural language processing. Many tasks in natural language processing can be abstracted as text matching tasks. For example, web search can be abstracted as a relevance matching problem between web pages and user search queries, automatic question answering can … Read more
This is a work by Big Data Digest, please refer to the end of the article for reproduction requirements. Original Author | Adam Geitgey Translation | Wu Shuang, Da Li, Da Jieqiong, Aileen To know oneself and one’s enemy, whether you want to become a hacker (which is not recommended!) or prevent future hacking intrusions, … Read more
Translated by AI Source: news.mit.edu Translator: Wen Qiang [Introduction by AI]MIT’s new research takes a significant step toward unraveling the black box of deep neural networks: at this year’s CVPR, researchers submitted a new study that fully automates the analysis of ResNet, VGG-16, GoogLeNet, and AlexNet performing over 20 tasks. Their proposed Network Dissection can … Read more
Recommended by New Intelligence Source: Authorized Reprint from InfoQ Translator: He Wuyu [New Intelligence Overview] Jürgen Schmidhuber, the scientific affairs director at the Swiss AI lab IDSIA, led a team in 1997 to propose the Long Short-Term Memory Recurrent Neural Network (LSTM RNN), which simplifies time-dependent recurrent neural networks, thus earning him the title of … Read more