Applied Analytics professor Siddhartha Dalal discusses the impacts of applied technologies on real-life risk management.

Scientists say they have made a breakthrough after developing a quantum computing technique to run machine learning ...

But for Javier Orman the transition from professional violinist to a machine learning engineer at LinkedIn was a surprisingly natural one. Growing up in Montevideo, Uruguay, Orman excelled at both ...

Scientists have revealed that Convolutional Neural Networks (CNNs), a type of deep learning algorithm, demonstrate superior ...

In smart grid management, ML enables dynamic control of distributed energy sources, managing real-time energy flows and ...

Density functional theory is a widely used computer-based quantum mechanical method for calculating properties of atoms, ...

The Internet of Things (IoT) integrates billions of smart devices that can communicate with one another with minimal human intervention. IoT is one of the fastest developing fields in the history of ...

A new machine learning approach tries to better emulate the human brain, in hopes of creating more capable agentic AI.

The use of machine learning (ML) and deep learning (DL) techniques for precisely detecting BT has been emphasized in several studies (14, 15). ML algorithms such as support vector machines (SVM) , ...

Covers all subjects related to the development of automatic machine systems, including unmanned hardware platforms, software systems, energy systems, ... a new deep reinforcement learning method ...