Image courtesy by QUE.com AI research has always been a race against complexity: larger datasets, bigger models, and faster ...

Multicenter examination showed biomarkers in cerebrospinal fluid consistently distinguished MS from other ...

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

A UT chemist says it is now time to develop tests for microplastics, similar to tests for other toxic threats.

Abstract: Continual learning requires models to train continuously across consecutive tasks without forgetting. Most existing methods utilize linear classifiers, which struggle to maintain a stable ...

From that perspective, AI and blockchain were treated less as experimental add-ons and more as practical operating tools.

Harshith Kumar Pedarla explores using GANs to simulate network attacks. Synthetic data augmentation improves detection scores ...

A machine learning model incorporating functional assessments predicts one-year mortality in older patients with HF and improves risk stratification beyond established scores. Functional status at ...

New AI model decodes brain signals captured noninvasively via EEG opens the possibility of developing future neuroprosthetics ...

AI research has always been a race against complexity: larger datasets, bigger models, and faster training pipelines. But a newer ...

Abstract: Advancements in wearable sensors and artificial intelligence have enabled real-time monitoring of livestock behavior, transforming traditional farm management practices. This paper presents ...