The Kennedy College of Sciences, Miner School of Computer & Information Sciences, invites you to attend a doctoral thesis defense by Madhavi Pagare on "Causal Learning-Enabled Hierarchical ...

Neural networks are more powerful than these alternatives, in both the mathematical sense and ordinary language sense, but neural networks are more complex than the alternatives. Let me reiterate that ...

This article explains what compute-in-memory (CIM) technology is and how it works. We will examine how current ...

Optimization methods for machine learning, including neural networks, typically use some form of gradient descent algorithm to drive the back propagation, often with a mechanism to help avoid ...

There are many different binary classification algorithms. In this article I'll demonstrate how to perform binary classification using a deep neural network with the Keras code library.

Hands-on coding of a multiclass neural network from scratch, with softmax and one-hot encoding. #Softmax #MulticlassClassification #PythonAI The 2 House Republicans who voted no on Trump's ...

Synthetic cannabinoids, a class of new psychoactive substances, have emerged as a significant public health and social ...

Apart from simple diagnosis, the study takes an important step toward predictive health monitoring by modeling the risk of ...