Machine learning can predict patients' responses to antidepressants—while disentangling drug and placebo effects

Depression is one of the most widespread mental health disorders worldwide, affecting approximately 4% of the global ...
The Manila Times

Rail Vision: Quantum Transportation Delivers First Transformer-Based Neural Decoder for Universal Quantum Error Correction

Achieves superior decoding accuracy and dramatically improved efficiency compared to leading classical algorithms ...
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.
PC Gamer

Arc Raiders' use of AI highlights the tension and confusion over where machine learning ends and generative AI begins

AI Steam updates AI disclosure form to specify that it's focused on AI-generated content that is 'consumed by players,' not efficiency tools used behind the scenes AI Stellar Blade's director says AI ...
GitHub

Reinforcement learning based selection of error mitigation parameters

Zero noise extrapolation (ZNE) is a well known error mitigation technique used widely for near-term quantum computing. A general drawback of this method is the ...
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 ...
Hosted on MSN

Understanding the Linear Regression Cost Function | Simple Machine Learning Guide

Discover a smarter way to grow with Learn with Jay, your trusted source for mastering valuable skills and unlocking your full potential. Whether you're aiming to advance your career, build better ...
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 ...
C&EN

A Universal Machine Learning Framework Driven by Artificial Intelligence for Ion Battery Cathode Material Design

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Graph neural networks for crystal property prediction typically require precise atomic ...