Researchers made a technique that improves the trustworthiness of machine-learning models, which could help improve the accuracy and reliability of AI predictions for high-stakes settings such health ...

Mixture-of-Experts (MoE) models are revolutionizing the way we scale AI. By activating only a subset of a model’s components ...

Researchers from Rice University (TX, USA) have developed a new machine learning algorithm that interprets optical spectra of ...

Image-based recognition using convolutional neural networks (CNNs), especially architectures like ResNet and YOLO, dominate ...

Studies leveraging NIR and CNNs report accuracies exceeding 95%, with some achieving perfect classification for pure fibers.

Engineered tin dioxide nanosensors combined with deep learning enable precise gas classification, improving detection in ...

Machine learning algorithms enhance retinopathy of prematurity screening using smartphone images, expanding access in ...

The financial sector is heavily data driven. Every day, trillions of data is generated by the global financial system; these ...

Since April 25, emails from Gmail accounts have suddenly been incorrectly in the junk folder for numerous users of Exchange ...

GIGABYTE, the world's leading computer brand, today unveiled a series of brand-new AI solutions under the theme, 'LEADING ...

Subtle hand movements during grasping tasks may help diagnose autism spectrum disorder (ASD) with high accuracy.