Recent advances in light-weight deep learning models and network architecture search (NAS) algorithms are reviewed, starting with simplified layers and efficient convolution and including new ...

Researchers review AI-powered inverse lithography, showing how deep learning boosts chip patterning precision and efficiency ...

The convolutional neural network-based face recognition algorithm has become one of the most effective face recognition technologies and is widely used in medical, retail, financial, and other ...

In high-risk industry work scenarios, automatic hard hat recognition systems are crucial for ensuring worker safety. However, the issue of false detection has become a 'stumbling block' affecting ...

Network infrastructure is one of the key requirements for digital connectivity as it enables seamless communication, transfer of data, and sharing of resources. However, ...

Dr. James McCaffrey of Microsoft Research details the 'Hello World' of image classification: a convolutional neural network (CNN) applied to the MNIST digits dataset.

A team of researchers from the University of Professional Studies, Accra, led by Dr. Augustina Dede Agor, has completed one of the most detailed global reviews to date on the integration of artificial ...

Scientists in Spain have used genetic algorithms to optimize a feedforward artificial neural network for the prediction of energy generation of PV systems. Genetic algorithms use “parents” and ...

Recently, the National Intellectual Property Administration announced a notable patent developed jointly by Shenyang University of Technology and China Aero Engine Corporation, titled "A Bearing Life ...

A simple algorithm that revolutionizes how neural networks approach language is now taking on image classification as well. It may not stop there.