Opinion

How do different data preprocessing techniques affect performance of machine learning models on prediction tasks?

Artificial intelligence (AI) and machine learning (ML) systems have become central to modern data-driven decision-making. They are now widely applied in fields as diverse as healthcare, finance, ...

Site Reliability Engineer to MLOps Engineer – Interview Kickstart Publishes New Career Transition Guide

SANTA CLARA, CA - April 13, 2026 - - As machine learning becomes integral to modern digital products, the demand for professionals skilled in MLOps (Machine Learning Operations) continues to rise. In ...
Devdiscourse

AI exposes invisible microplastics polluting the world’s oceans

Published in Microplastics, the study titled “Canonical Spectral Transformation for Raman Spectra Enables High Accuracy AI Identification of Marine Microplastics” introduces a novel data processing ...

Using Displacement Sensors for Real-Time Condition Monitoring

Learn how laser, eddy and other displacement sensors work and how they plug into IIoT PdM systems. They’re game changers on ...
ET CIO

Practical steps to prepare enterprise data for generative AI: Gartner

Enterprises face challenges in preparing data for generative AI due to data quality and accessibility issues. Gartner ...
Electronic Specifier

Overcoming 5 technical challenges of AI in medical imaging

Artificial intelligence is poised to transform medical imaging, promising faster diagnoses and greater accuracy.
Scientific Research Publishing

Predicting Stock Price Movements Using Deep Learning Techniques ()

Stock Price Prediction, Deep Learning, LSTM, GRU, Attention Mechanism, Financial Time Series Share and Cite: Kirui, D. (2026) ...
Morning Overview on MSN

Physics-trained AI models speed up engineering simulations and design work

Running a single physics simulation can take hours or days, depending on the complexity of the geometry and the equations ...

Machine learning accelerates analysis of fusion materials

Tungsten's superior performance in extreme environments makes it a leading candidate for plasma-facing components (PFCs) in ...
Tech Xplore

A simple baseline for AI forecasting in machine learning

In a recent paper, SFI Complexity Postdoctoral Fellow Yuanzhao Zhang and co-author William Gilpin show that a deceptively ...
Nature

Dozens of AI disease-prediction models were trained on dubious data

The models are designed to predict someone’s risk of diabetes or stroke. A few might already have been used on patients.
Nature

AI models ‘subliminally’ transmit unsafe behaviours when training other systems

Using artificial-intelligence to teach other models can be cheaper and faster than building them from scratch, but this ...