Overview: Master deep learning with these 10 essential books blending math, code, and real-world AI applications for lasting ...

Krupchytskyi: Deep learning networks are particularly good at analyzing large amounts of unstructured data, like images and text. It's widely used in chatbots, image recognition like that required for ...

During my first semester as a computer science graduate student at Princeton, I took COS 402: Artificial Intelligence. Toward the end of the semester, there was a lecture about neural networks. This ...

A new forensic framework designed specifically for the Internet of Things (IoT) is discussed in the International Journal of ...

The TLE-PINN method integrates EPINN and deep learning models through a transfer learning framework, combining strong physical constraints and efficient computational capabilities to accurately ...

A team of astronomers led by Michael Janssen (Radboud University, The Netherlands) has trained a neural network with millions of synthetic black hole data sets. Based on the network and data from the ...