Tech Xplore

Scalable memtransistor arrays show potential for energy-efficient artificial neural networks

Researchers at the National University of Singapore (NUS) have fabricated ultra-thin memtransistor arrays from ...
Neurology Advisor

Machine Learning Differentiates AD and Behavioral Variant Frontotemporal Dementia

Machine learning models using initial neuropsychological and neuropsychiatric clinical data accurately distinguished AD from bvFTD.

Q&A: How mathematics can reveal the depth of deep learning AI

Artificial intelligence (AI) is increasingly prevalent, integrated into phone apps, search engines and social media platforms ...
IEEE

QDLTrans: Enhancing English Neural Machine Translation With Quantized Attention Block and Tunable Dual Learning

Abstract: Neural Machine Translation (NMT) is a fundamental task in natural language processing, typically relying on large-scale parallel corpora to achieve high translation quality. However, ...
C&EN

NN-VRCTST: Neural Network Potentials Meet Variable Reaction Coordinate Transition State Theory for the Rate Constant Determination of Barrierless Reactions

MOX, Modeling and Scientific Computing, Dipartimento di Matematica, Politecnico di Milano, 20133 Milano, Italy ...
IEEE

Adaptive Hierarchical Multi-Headed Convolutional Neural Network With Modified Convolutional Block Attention for Aerial Forest Fire Detection

Abstract: Effective detection and classification of forest fire imagery are critical for timely and efficient wildfire management. Convolutional Neural Networks (CNNs) have demonstrated potential in ...