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

The idea that quantum computing could transform medical artificial intelligence (AI) has gained momentum in recent years, driven by advances in cloud-accessible quantum platforms and hybrid computing ...

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 ...

As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models ...

AI algorithms analyse complex medical images with speed and precision, supporting early disease detection.Radiology and ...

Dengue and chikungunya, the two mosquito-borne diseases that frequently circulate at the same time, share the same Aedes ...

The threat to software-as-we-know-it comes from digital data: the foundational, eight-decades-long trend driving the ...

Breakthrough AI foundation model called BrainIAC is able to predict brain age, dementia, time-to-stroke, and brain cancer ...

Everyday wireless signals can be used to spot common respiratory diseases quickly, safely and with high diagnostic accuracy, ...

Another machine unlearning method recently was developed specifically for AI-generated voices. Jong Hwan Ko, an associate ...

Investigators sought to train and validate a machine learning model to distinguish paper mill publications from genuine articles and assess the prevalence of paper mill publications.