The integration of artificial neural networks (ANNs) into predictive analytics is transforming the way industries forecast ...

Researchers have developed a new binarized neural network (BNN) scheme using ternary gradients to address the computational challenges of IoT edge devices. They introduced a magnetic RAM-based ...

A recent article in the journal International Journal of Thermofluids explored ways to improve heat and mass transfer in ...

Researchers have developed an AI-powered system that mimics the human sense of smell to detect and track toxic gases in real time. Using advanced artificial neural networks combined with a network of ...

Researchers have shown that a novel memristor device consisting of metal, dielectric, and metal layers remembers the history ...

is advancing science and innovative solutions in the field of statistical modeling and Artificial Neural Networks(ANN) by pioneering ANN models which promotes public health and economic advancement.

Lamberti's work demonstrates that neurons are capable of predicting future inputs, showing that prediction is a general function of neural networks. Her research highlights how memory not only ...

Professor Yong-Hoon Kim's team from the School of Electrical Engineering succeeded in accelerating calculations for ...

This important study partially fills the gap in the knowledge of olfaction at the level of the Anterior Olfactory Nucleus (AON) and Piriform Cortex with functional magnetic resonance imaging, ...