Hybrid climate modeling has emerged as an effective way to reduce the computational costs associated with cloud-resolving ...

Deep brain stimulation (DBS) improves motor symptoms of Parkinson's disease by modulating a specific brain network that is mainly active in the fast beta frequency range (20 to 35 Hz). This conclusion ...

A research team led by Professor Wang Hongzhi from the Hefei Institute of Physical Science of the Chinese Academy of Sciences has developed a multi-stage, dual-domain, progressive network with ...

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

Biocomputing research is testing living neurons for computation as scientists look for energy-efficient alternatives to ...

The Heisenberg uncertainty principle puts a limit on how precisely we can measure certain properties of quantum objects. But researchers may have found a way to bypass this limitation using a quantum ...

Abstract: The study presents the application of Artificial Neural Networks (ANNs) for pattern recognition, modeling, and analyzing their performance using MATLAB. Two neural architectures are compared ...

Intelligent Systems course project (MSc in Computer Engineering @ Unversity of Pisa). Design and development of a MLP, RBF networks and Fuzzy System to estimate person's affective state. Design, ...

The ability to analyze the brain's neural connectivity is emerging as a key foundation for brain-computer interface (BCI) technologies, such as controlling artificial limbs and enhancing human ...

When engineers build AI language models like GPT-5 from training data, at least two major processing features emerge: memorization (reciting exact text they’ve seen before, like famous quotes or ...

1 College of Pharmaceutical Sciences, Zhejiang Chinese Medical University, Hangzhou, China 2 Pharmacy Department, Lishui Second People’s Hospital, Lishui, China Objective: To investigate the ...