Selected from blog.bradfieldcs Author:Tyler Elliot Bettilyon Translated by Machine Heart Hash algorithms have always been one of the most classic methods for indexing, allowing for efficient storage and retrieval of data. However, in December of last year, Jeff Dean and researchers from MIT viewed indexing as a model, exploring conditions under which deep learning models … Read more
Source fromMedium Author: garvitanand2 Compiled by: Machine Heart Contributors: Geek AI, Lu This article introduces the 10 most commonly used machine learning algorithms, including linear regression, Logistic regression, linear discriminant analysis, Naive Bayes, KNN, random forest, etc. 1. Linear Regression In the fields of statistics and machine learning, linear regression may be one of the … Read more
AliMei’s Guide: Machine learning is one of the cores of artificial intelligence, involving complex disciplines such as probability theory and statistics. It is indeed not easy for non-professionals to understand it. Recently, Bai Ning from Ant AI Platform found the key to explaining “machine learning” while taking a walk, explaining it in an engaging and … Read more
Selected from muratbuffalo Author: Murat Demirbas Translated by Machine Heart Contributors: Panda Distributed machine learning is a major research direction in the field of machine learning. Recently, Professor Murat Demirbas from the State University of New York at Buffalo, along with two of his students, published a paper comparing existing distributed machine learning platforms, introducing … Read more
Tsinghua 347 Cognitive Intelligence Machine Learning Tsinghua 347 The Tsinghua 347 Cognitive Intelligence program is organized and coordinated by the Department of Psychology and Cognitive Science at Tsinghua University, supported by a strong foundation in “Psychology + Artificial Intelligence”. The target audience includes professionals from Internet, Computer Science, Clinical Consulting, and Intelligent Manufacturing or Psychology … Read more
Overview This article reviews the applications and opportunities of machine learning in additive manufacturing (3D printing) materials and processes. It first introduces the background of machine learning technology in additive manufacturing, then analyzes in detail the applications of machine learning in areas such as quality control, process optimization, design optimization, microstructure analysis, and material formulation, … Read more
Impact Factor: 7.7 Research Overview: Pulmonary hypertension (PH) is a heterogeneous group of diseases defined as a mean pulmonary artery pressure ≥20 mmHg measured during right heart catheterization at rest. Pulmonary arterial hypertension (PAH) is one of the main subtypes of PH, characterized by pulmonary vascular remodeling mediated by excessive proliferation of pulmonary artery smooth … Read more
1 New Intelligence Compilation1 Source: iamwire.com Author: Wale Akinfaderin Translator: Liu Xiaoqin AI World 2016 World Artificial Intelligence Conference ❶ Industry leaders review 60 years of AI history, global dialogue on future challenges of artificial intelligence, authoritative release of the 2016 World Artificial Intelligence Hall of Fame and China’s artificial intelligence industry development report; ❷ … Read more
Today, I will analyze an article published in April 2024 in Sci Rep (IF:4.0) titled “Unveiling the link between lactate metabolism and rheumatoid arthritis through integration of bioinformatics and machine learning“. Rheumatoid arthritis (RA) is a chronic autoimmune disease characterized by synovitis and joint damage. Recent research findings suggest a potential link with abnormal lactate … Read more
Children’s Day is approaching, but this year’s June 1st is a bit different. As the pandemic eases, many places have made it clear that after June 1st, various stages of basic education need to gradually return to school, and strict personnel control and temperature measurement must be implemented according to safety requirements. Currently, as the … Read more