A new AI foundation model from Mass General Brigham may be capable of analyzing brain MRI datasets and predict various ...

WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification ...

A new low-power sensor node framework combines sensing and machine learning, with the potential to enhance real-time ...

Medical researchers at Mass General Brigham say the self-supervised foundational model can identify inherent features from ...

Anyone who has conducted document review knows the frustration of keyword search. You craft what seems like a comprehensive list of terms, run ...

Abstract: Using machine learning applied to multimodal physiological data allows the classification of cognitive workload (low, moderate, or high load) during task performance. However, current ...

Over the past decades, computer scientists have developed increasingly advanced artificial intelligence (AI) systems that ...

Passive sensing via wearable devices and smartphones, combined with machine learning (ML), enables objective, continuous, and noninvasive mental health monitoring. Objective: This study aimed to ...

Integrating deep learning in optical microscopy enhances image analysis, overcoming traditional limitations and improving classification and segmentation tasks.

Abstract: Deep learning-based approaches to hyperspectral image analysis have attracted large attention and exhibited high performance in image classification tasks. However, deployment of deep ...

MSCI Inc. (NYSE: MSCI) announced today the launch of a consultation on a proposal for the potential reclassification of Greece from Emerging Market status to Developed Market status in one step, with ...

Machine learning holds great promise for classifying and identifying fossils, and has recently been marshaled to identify trackmakers of dinosaur ...