EurekAlert!

AI model offers accurate and explainable insights to support autism assessment

Researchers from the University of Plymouth (UK) have developed and tested a deep learning model which, in a newly-published research study, has been shown to achieve up to 98% accuracy in ...

Academician Zhang Tongyi's Chinese Version of 'Introduction to Materials Informatics: Basics of Machine Learning' Published

As a scholar in materials and mechanics, Academician Zhang Tongyi has made significant contributions to the development of ...
The Malaysian Reserve

Expert.ai Launches Enhanced Solutions for Digital Information Services

New solutions to debut at the Online News Association annual conference to showcase the latest digital trends and connect with journalists, leaders and ...
Frontiers

Artificial liver classifier: a new alternative to conventional machine learning models

1 Department of Computer Science, University of Technology, Baghdad, Iraq 2 Department of Computer Science and Engineering, Artificial Intelligence and Innovation Centre (AIIC), University of ...
WHNT

New Study Establishes Supremacy of Complexity Science and Randomness in Machine Learning for Neurosymbolic Computation

Unsupervised, model-free method preserves key data better than traditional statistical techniques for next generation cognitive ML for multi-modal data. These methods prove the utility of algorithmic ...
IEEE

How to steal a machine learning classifier with deep learning

Abstract: This paper presents an exploratory machine learning attack based on deep learning to infer the functionality of an arbitrary classifier by polling it as a black box, and using returned ...
Scientific Research Publishing

Zhu, W., Song, Y. and Xiao, Y. (2020) Support Vector Machine Classifier with HUberized Pinball Loss. Engineering Applications of Artificial Intelligence, 91, Article ID: 103635.

ABSTRACT: In the field of machine learning, support vector machine (SVM) is popular for its powerful performance in classification tasks. However, this method could be adversely affected by data ...
Morningstar

MicroAlgo Inc. Develops Classifier Auto-Optimization Technology Based on Variational Quantum Algorithms, Accelerating the Advancement of Quantum Machine Learning

SHENZHEN, China, May 2, 2025 /PRNewswire/ -- MicroAlgo Inc. (the "Company" or "MicroAlgo") (NASDAQ: MLGO) announced today the launch of their latest classifier auto-optimization technology based on ...
thetechedvocate.org

The 100 Most Influential People in AI and Machine Learning

Artificial Intelligence (AI) and Machine Learning (ML) have become integral parts of our daily lives, revolutionizing industries and shaping the future of technology. As we look ahead to 2025, it’s ...
dcnewsnow

Generating Asset Pricing Model via Symbolic Modeling—a Machine Learning-based Approach

In a breakthrough for artificial intelligence (AI) and finance, computer scientists from Texas A&M University have developed a machine learning based method called Symbolic Modeling to handle ...
EurekAlert!

Generating asset pricing model via symbolic modeling—a machine learning-based approach

In a breakthrough for artificial intelligence (AI) and finance, computer scientists from Texas A&M University have developed a machine learning based method called Symbolic Modeling to handle ...
C&EN

Unsupervised Machine Learning-Based Image Recognition of Raw Infrared Spectra: Toward Chemist-like Chemical Structural Classification and Beyond Numerical Data

Recent advances in artificial intelligence have significantly improved spectral data analysis. In this study, we used unsupervised machine learning to classify chemical compounds based on infrared (IR ...