What Are Convolutional Neural Networks? Neural networks are systems, or structures of neurons, that enable AI to better understand data, allowing it to solve complex problems. While there are numerous ...

In this work, we focus on application-specific, IMC hardware for inference of Convolution Neural Networks (CNNs), and provide methodologies for implementing the various architectural components of the ...

Zhu RC, Wang JF, Qiu TS, Yang DK, Feng B et al. Direct field-to-pattern monolithic design of holographic metasurface via residual encoder-decoder convolutional neural network.

Convolutional Neural Networks for MNIST Data Using PyTorch Dr. James McCaffrey of Microsoft Research details the "Hello World" of image classification: a convolutional neural network (CNN) applied to ...

In this video, we will understand what is Convolution Operation in CNN. Convolution Operation is the heart of Convolutional ...

Scientists have created a novel probabilistic model for 5-minutes ahead PV power forecasting. The method combines a convolutional neural network with bidirectional long short-term memory ...

Achieving a pathological complete response (pCR) to neoadjuvant chemotherapy (NAC) is associated with improved patient outcomes in triple-negative breast cancer (TNBC). Currently, there are no ...

In order to exploit the orbital angular momentum (OAM) of light to represent information in optical neural network architecture.  Scientists in China proposed and demonstrated an OAM-mediated ...