AZoBuild

Machine Learning Improves Strength Predictions in Concrete

Supervised machine learning improves predictions of compressive strength in industrial waste-modified concrete, supporting ...
Tech Xplore

Geospatial upgrade gives TabPFN sharper local predictions on datasets up to 70,000 rows

A new development in data science has given one popular machine learning tool an improved sense of place, enabling it to make ...
Tech Xplore

Machine-readable dataset speeds environmental review drafting tasks

An innovative partnership has yielded powerful new tools to help federal agencies rapidly synthesize complex data, historical ...
Frontiers

The Neuro Bureau Preprocessing Initiative: open sharing of preprocessed neuroimaging data and derivatives

Grass-roots initiatives such as the 1000 Functional Connectomes Project (FCP) and International Neuroimaging Data- sharing Initiative (INDI) [1] are successfully amassing and sharing large-scale brain ...

Here’s How to Opt Out of Google Search’s New AI Data Training Feature

Google’s Search history update stores media uploads from your interactions, like images used in reverse image searches, for ...
The Manila Times

WiMi Develops Quantum Convolutional Neural Network Model for Classical Data Classification

WiMi Hologram Cloud Inc. (NASDAQ: WIMI) ('WIMI' or the 'Company'), a leading global Hologram Augmented Reality ('AR') Technology provider, has completed systematic benchmark testing on fully ...
Technology Networks

Predictive Modeling for Compound Prioritization

Explore predictive modeling for compound prioritization, including in silico screening, toxicology models, and lead selection ...
PC Tech Magazine

Advanced AI and ML Courses to Learn Machine Learning, Deep Learning in 2026

Most working professionals already understand that AI skills are no longer optional they are a career necessity.
IEEE

A Brief Survey of Data Preprocessing in Machine Learning and Deep Learning Techniques

Abstract: Internet of Things (IoT) generates vast amounts of sensor data across various scientific and engineering domains. This raw data is often flawed and unsuitable for analysis due to noise, ...
IEEE

Enhancing Diabetes Diagnosis: A Comparative Study of Machine Learning Algorithms with Data Preprocessing Techniques

Abstract: The primary aim of this study is to assess the performance of various ML algorithms in diagnosing diabetes depending on various data preprocessing methods. Utilizing the Pima Indian Diabetes ...