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 ...

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.

US-DATA Expands Global Data Annotation Services for AI, Computer Vision and Machine Learning Projects

New York, USA - US-DATA helps companies turn raw images, videos, audio and text into high-quality datasets for training, ...
Frontiers

Robust automated preclinical fMRI preprocessing via a multi-stage dilated convolutional Swin Transformer affine registration

Accurate preprocessing of functional magnetic resonance imaging (fMRI) data is crucial for effective analysis in preclinical studies. Key steps such as denoising, skull-stripping, and affine ...
Frontiers

A human-centered automated machine learning agent with large language models for multimodal data management and analysis

Automated Machine Learning (AutoML) aims to streamline the end-to-end process of ML models, yet current approaches remain constrained by rigid rule-based frameworks and structured input requirements ...