The United States is quietly reorganizing air combat around artificial intelligence, and the first proof is arriving on the ...

Combining newer neural networks with older AI systems could be the secret to building an AI to match or surpass human ...

When the FORTRAN programming language debuted in 1957, it transformed how scientists and engineers programmed computers.

Alzheimer’s disease (AD) is a progressive neurodegenerative disorder that significantly impairs cognitive function and mental health, affecting ...

Biological neural networks are immensely complex systems underlying all aspects of cognition and behavior. Despite significant advances in neuroscience, a ...

Photons are fast, stable, and easy to manipulate on chips, making photonic systems a promising platform for QCNNs. However, photonic circuits typically behave linearly, limiting the flexible ...

Blending ‘old-fashioned’ logic systems with the neural networks that power large language models is one of the hottest trends ...

Abstract: The monitoring and extraction of orchard planting information is of significant importance. Semantic segmentation deep learning models utilizing convolutional neural networks (CNNs) or ...

Abstract: The paper addresses the fault-tolerant optimized control of switched complex networks with unknown state and actuator fault. A proportional-integral intermediate observer is constructed to ...