AI reads 3D tooth microwear to reconstruct diets of early human ancestors

The study of dental microwear allows the analysis of the microscopic marks that foods leave on the surface of tooth enamel ...

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.
EurekAlert!

Time for an AI checkup: Flaw found in machine learning for sepsis treatment

Computer scientists urge a fundamental shift in how problems are formulated in reinforcement learning for healthcare ...

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

US-DATA, a data annotation company specializing in machine learning and computer vision projects, announces the expansion of ...
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 ...
Nature

Data-driven machine learning models for predicting engineering properties in deep-sea sediments

Predicting the properties of deep-sea sediments offers critical insights into past oceanic conditions, including sediment composition, stratigraphy, and geochemical signals. However, accurate ...
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 ...