Deep neural networks (DNNs) possess the capability to represent more complex nonlinear problems than shallow neural networks, and their distributed data learning method is more effective 1,2,3. The ...

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 ...

Artificial intelligence is evolving at an unprecedented rate, but its capabilities are still dominated by a few large organizations that control the central systems of AI. However, Web3 is also ...

Learning-based computer-generated hologram (CGH) demonstrates great potential for real-time high-quality holographic displays. However, real-time 4K CGH generation for 3D scenes remains a challenge ...

Welcome! Throughout this course, Network Systems Foundations, you will delve into the fundamental layers of network communication. You will start with a thorough discussion of the Link Layer and its ...