The Manila Times

Rail Vision: Quantum Transportation Unveils Transformer Neural Decoder That Outperforms Classical QEC Algorithms in Simulations

Rail Vision Ltd. (Nasdaq: RVSN) ("Rail Vision” or the "Company”), an early commercialization stage technology company seeking ...
Visual Studio Magazine

Linear Regression with Pseudo-Inverse Training Using JavaScript

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with pseudo-inverse training implemented using JavaScript. Compared to other training techniques, such as ...
PsyPost

Machine learning identifies brain patterns that predict antidepressant success

A new algorithm analyzes electrical activity in the brain to forecast whether standard depression drugs will work, ...
InfoWorld

AI and machine learning outside of Python

In some ways, Java was the key language for machine learning and AI before Python stole its crown. Important pieces of the data science ecosystem, like Apache Spark, started out in the Java universe.
GitHub

MACHINE LEARNING FOR QUANTUM NOISE REDUCTION USING DENSITY MATRIX

Quantum computation has the potential for exponential speedup of classical systems in some applications, such as cryptography, simulation of molecular behavior, and optimization. Nevertheless, quantum ...
Frontiers

Analysis of the association between dietary sodium intake and cognitive function: a NHANES-based machine learning study and animal experimental validation

Background: Sodium intake is undoubtedly essential for normal bodily function, but it is an important public health concern when intake exceeds dietary requirements. With salt intake exceeding ...
EurekAlert!

AI meets quantum: Machine learning advances estimation and control of quantum systems

This illustration draws a parallel between quantum state tomography and natural language modeling. In quantum tomography, structured measurements yield probability outcomes that are aggregated to ...
IEEE

Machine Learning-Based Error Detection and Function Approximation for Reliable Computing

Abstract: Ensuring reliability in modern computing systems requires efficient and accurate error detection mechanisms. This paper explores a machine learning based ...
Frontiers

Innovative machine learning-based prediction of early airway hyperresponsiveness using baseline pulmonary function parameters

1 Department of Cardiopulmonary Function, Henan Provincial People’s Hospital, Zhengzhou University People’s Hospital, Zhengzhou, China 2 Department of Respiratory and Critical Care Medicine, Henan ...