The Lancet

Effective sample size for individual risk predictions: quantifying uncertainty in machine learning models

Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance ...
Frontiers

Radiomics-based multiple machine learning approaches for investigating medial wall invasion of the cavernous sinus in pituitary adenomas

Objective: This study aims to develop a predictive model for cavernous sinus dural invasion in pituitary adenomas by retrospectively analyzing clinical and imaging data. It explores the associations ...
New Atlas

Forget 3D printing: Cornell is 3D knitting with its new machine

If you find 3D printers to be just a little too coldly futuristic, this contraption might be more to your liking. Scientists from Cornell University have created a machine that knits solid 3D objects ...
News Medical

Machine learning models can predict urgent care needs for patients with non–small cell lung cancer

A new study published in JCO Clinical Cancer Informatics demonstrates that machine learning models incorporating patient-reported outcomes and wearable sensor data can predict which patients with ...
New Atlas

Desktop injection molding machine is a faster, squishier alternative to a 3D printer

Consumer 3D printers definitely have their uses, but they're typically limited to printing rigid objects … and doing so pretty slowly. The Saltgator, on the other hand, allows you to crank out rubbery ...
Scientific American

Student AIs Pick Up Unexpected Traits from Teachers through Subliminal Learning

From a teacher’s body language, inflection, and other context clues, students often infer subtle information far beyond the lesson plan. And it turns out artificial-intelligence systems can do the ...
News Medical

Machine learning model predicts radiotherapy response in patients with nasopharyngeal carcinoma

Researchers in China have developed a powerful machine learning model that can help determine which patients with nasopharyngeal carcinoma (NPC) are likely to respond well to radiotherapy-a common ...
InfoWorld

Subliminal learning: When AI models learn what you didn’t teach them

Fine-tuned “student” models can pick up unwanted traits from base “teacher” models that could evade data filtering, generating a need for more rigorous safety evaluations. Researchers have discovered ...
Frontiers

Mechanical properties of 3D-Printed aluminum, nickel, and titanium using a hybrid machine learning and computational mechanics approach

This study presents a hybrid computational framework designed to accurately predict the mechanical properties of essential 3D printing materials, namely, Aluminum (Al), Titanium (Ti), and Nickel (Ni).
IEEE

Optimizing 5G Quality of Service Using Machine Learning Models: A Comparative Analysis of MLR, SVR, and KNN Regression

Abstract: With the rapid adoption of 5G technology, ensuring optimal quality of service (QoS) has become a critical challenge for modern wireless networks. Resource allocation in 5G networks demands ...
Hosted on MSN

What Is Linear Regression In Machine Learning ? Understand With Examples

What is linear regression in machine learning ? Understanding Linear Regression in machine learning is considered as the basis or foundation in machine learning. In this video, we will learn what is ...