Technology Networks

AI and Machine Learning in High-Throughput Screening

Explore how AI in high-throughput screening improves drug discovery through advanced data analysis, hit identification and ...

Zhongqi Zhu Addresses Key Challenges in Vector Database and AI Technology Integration

A study on vector database and AI integration identifies unstable indexing, weak cross-modal fusion, and rigid resource ...
Digital Trends

The humble Windows NotePad might finally get image support

Microsoft is preparing to bring another change to the humble Notepad app. According to Windows Latest, internal testing on Windows 11 shows that the classic text editor is gaining full image support.
TechCrunch

Adobe Firefly Image 5 brings support for layers, will let creators make custom models

Adobe said on Tuesday that it is launching the latest iteration of its image generation model, Firefly Image 5. The company is also adding more features to the Firefly website, support for more ...
Frontiers

Support vector machine-based classification of bulimia nervosa using diffusion tensor imaging

Alterations in brain structure have been suggested to be associated with bulimia nervosa (BN). This study aimed to employ machine learning (ML) methods based on diffusion tensor imaging (DTI) to ...
Frontiers

Assessing the learning potential of freshmen in labor education courses using ordinal features and support vector machine

Artificial intelligence (AI) marks a new wave of the information technology revolution and permeates various sectors as an indispensable tool. Despite its widespread adoption, its application in ...
IEEE

FASTEN: Fuzzy Neural Support Vector Machine for Classification

Abstract: Classification tasks have long been a central concern in the field of machine learning. Although deep neural network-based approaches offer a novel, versatile, and highly precise solution ...
Scientific Research Publishing

Wu, Y. and Liu, Y. (2007) Robust Truncated Hinge Loss Support Vector Machines. Journal of the American Statistical Association, 102, 974-983.

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 ...