Aerospace and Mechanical Insider on MSN

AI and machine learning transform materials testing

Materials testing remains a cornerstone of engineering and manufacturing, ensuring that components and structures—from ...
Tech Xplore

Next-generation database reduces AI hallucinations and improves accuracy by 78%

One of the greatest weaknesses of AI agents that read and understand vast amounts of enterprise data is "hallucination"—the ...
Scientific Research Publishing

Deep Reinforcement Learning for Phishing Detection with Transformer-Based Semantic Features ()

Phishing is a form of cybercrime in which people are deceived into exposing their personal information which can result in ...
SiliconANGLE

Qdrant raises $50M to bring flexible vector search to production AI systems

Open-source vector search startup Qdrant Solutions GmbH today announced it has raised $50 million in early-stage funding to pave the way for smarter and more reactive artificial intelligence apps. AVP ...
C&EN

Addressing Imbalanced Classification Problems in Drug Discovery and Development Using Random Forest, Support Vector Machine, AutoGluon-Tabular, and H2O AutoML

The classification models built on class imbalanced data sets tend to prioritize the accuracy of the majority class, and thus, the minority class generally has a higher misclassification rate.
LinkedIn

Support Vector Machine (SVM) Algorithm Part 2 - Transforming the SVM Problem Using Lagrange Multipliers

In yesterday's article, we defined the primal optimization goal that SVM aims to solve. If you haven't read it yet, I highly recommend you do so first to build the foundation for today's discussion.
IEEE

Improved twin support vector machine algorithm and applications in classification problems

Abstract: The distribution of data has a significant impact on the results of classification. When the distribution of one class is insignificant compared to the distribution of another class, data ...
Scientific Research Publishing

Performance Analysis of Support Vector Machine (SVM) on Challenging Datasets for Forest Fire Detection ()

1 Department of Computer Science, Chennai Mathematical Institute, Chennai, India. 2 Department of Mathematics & Computer Science, Chennai Mathematical Institute, Chennai, India. 3 Department of Data ...
InfoWorld

Vector databases in LLMs and search

Vector databases and search aren’t new, but vectorization is essential for generative AI and working with LLMs. Here's what you need to know. One of my first projects as a software developer was ...
Nature

Crosstalk tolerance analysis of coupled-line structures using least square-support vector machine technique

In this paper, crosstalk sensitivity analysis of a microwave coupled-line structure due to the fabrication imperfections is investigated using Least Square-Support Vector Machine (LS-SVM) method.
Nature

Universal expressiveness of variational quantum classifiers and quantum kernels for support vector machines

Quantum machine learning (QML) has recently emerged as a new research field aiming to take advantage of quantum computing for machine learning (ML) tasks 1,2,3,4. It has been shown that embedding data ...