An algorithm and software tool automating the annotation of subcellular features in cryo-electron tomography data is presented.

As artificial intelligence technology accelerates its penetration into various industries, Convolutional Neural Networks (CNN ...

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 ...

Convolutional neural networks (CNNs) are a type of neural network that is designed to capture increasingly more complex features within its input data. To do this, CNNs are constructed from a ...

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 ...

Nauto aims to give drivers three to four seconds to steer clear, brake gently, or refocus. “The better response isn’t always slamming on the brakes,” Heck says. “Sometimes swerving is safer, and no ...

Economists from HSE University have developed a neural network model that can predict the onset of a short-term stock market crisis with over 83% accuracy, one day in advance. The model performs well ...