Digital systems are expected to navigate real-world environments, understand multimedia content, and make high-stakes ...
Spiking Neural Networks (SNNs) represent the "third generation" of neural models, capturing the discrete, asynchronous, and energy-efficient nature of ...
A new review examines how insertion and deletion (indel) errors disrupt data synchronization in modern communication systems. By surveying both traditional and Deep Learning-driven approaches, the ...
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 ...
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 ...