Nature

Feature Selection Techniques in Machine Learning Systems articles from across Nature Portfolio

Feature selection (FS) is a critical step in hyperspectral image (HSI) classification, essential for reducing data dimensionality while preserving classification accuracy. However, FS for HSIs remains ...
AZoM

Machine Learning Improves LIBS Classification of Real Plastic Waste Under Variable Laser Conditions

Researchers used machine learning-assisted laser-induced breakdown spectroscopy (LIBS) to classify PP, PET, HDPE, and LDPE ...
quantumzeitgeist

Quandela research boosts machine learning with quantum fingerprints

Quandela research explores how photonic quantum computing utilizes quantum fingerprints to improve machine learning data ...
BIOENGINEER

Rainfall Before Flowering Predicts Honey Yields, Machine Learning Study Finds

Honey yields are notoriously difficult to forecast. Beekeepers must decide months in advance whether to invest in ...
BIOENGINEEROpinion

When Classrooms Learn to Read Feelings: The Hidden Ethics of Emotion-Sensing AI in Schools

Imagine a classroom where cameras track every flicker of a student’s face, where software decides whether a child is bored, ...

Self-studying Machine Learning: A Story About How Getting the Order Wrong Leads to Failure

I often hear people say, "I want to study machine learning, but I don't know where to start." Some open a book on mathematical formulas only to close it immediately, while others burn out just trying ...

Junhao Su Studies Machine Learning-Based Android Communication Reliability

A machine-learning framework connects performance prediction with safer software evolution for Android communication systems. By combining ...

4 Books That Bridge the Gap Between Machine Learning Theory and Implementation

Introduction A few years ago, I took over a demand forecasting model from a colleague who had left the company. The notebook ...
Arabian Post on MSN

Discord deploys machine learning to classify user ages

Discord is rolling out a machine-learning system that estimates whether users are teenagers or adults from account and behavioural signals, allowing more than 90% of its users to avoid submitting ...
HackerNoon

How to Validate Financial Machine Learning Beyond Accuracy and Backtests

Why accuracy and strong backtests can mislead in ML—and why reproducibility, leakage-safe validation, and economic evidence ...

WiMi Studies Hybrid Quantum Neural Network Architecture with Classical-Quantum Synergistic Innovation to Enhance Efficiency and Accuracy in Image Classification

WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, announces that it is researching the application of quantum ...
Nature

Machine Learning Applications in Liver Disease Diagnosis articles from across Nature Portfolio

Steatotic liver disease (SLD), formerly named fatty liver disease, has a prevalence estimated at 30–38% in adults. Detection of SLD is important, since prompt initiation of treatment can stop disease ...