Classification is a supervised machine learning process that predicts the class of input data based on the algorithms training data. Here’s what you need to know.
Journals are retracting more and more papers because they’re not by the authors they claim to be. We need better solutions to the problem, or we risk totally undermining public trust in research.
Governments around the world have no idea how well-developed their countries’ AI programs are coming along, but this knowledge might be crucial for everything from policymaking to fraud detection.
Advancements in artificial intelligence and deep learning have led to the rapid development of chess engines. What does the future for chess and AI hold?
A fully connected layer refers to a neural network in which each input node is connected to each output node. In a convolutional layer, not all nodes are connected. Here’s what you need to know.
Residual Network (ResNet) architecture is a type of artificial neural network that allows the model to skip layers without affecting performance. Here’s what you need to know.
