Abstract: Convolutional Neural Networks (CNNs) are extensively utilized for image classification due to their ability to exploit data correlations effectively. However, traditional CNNs encounter ...

gordicaleksa / pytorch-GAT My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an ...

Abstract: Quantum Computing is a very promising paradigm given the ability that Quantum brings in terms of recognizing patterns which their classical counterparts very likely fail at.The intersection ...

Bridging communication gaps between hearing and hearing-impaired individuals is an important challenge in assistive technology and inclusive education. In an attempt to close that gap, I developed a ...

We will create a Deep Neural Network python from scratch. We are not going to use Tensorflow or any built-in model to write the code, but it's entirely from scratch in python. We will code Deep Neural ...

Shares of eponymous quantum computing company Quantum Computing Inc. (QUBT +7.26%) soared 11.6% through 11 a.m. ET Monday. And why? That's not entirely clear. There's no significant quantum stock news ...

Shares of quantum computing company D-Wave Quantum Inc. (QBTS 4.00%) soared 13.5% through 10:40 a.m. ET Monday. And why? This morning the company announced it will participate in CES 2026 on Jan. 7, ...

Some Bitcoin developers are no longer arguing about whether quantum computing will break the network, but letting onlookers know how long it would take to prepare if it ever did. That shift was ...

For years, the conversation around quantum computing and cryptocurrency has been dominated by a single, breathless question: Will a quantum breakthrough kill Bitcoin? The fear is simple enough.

After decades of research and experimentation, quantum is shifting from discovery to deployment, and the coming year will be critical for stepping up delivery on a world‑class quantum network by 2035, ...