Brain scans show that most of us have a built-in capacity to learn to code, rooted in the brain’s logic and reasoning ...

Learning to code doesn’t require new brain systems—it builds on the ones we already use for logic and reasoning.

The ever-growing use of technology in society makes it clear that computer programming may be a valuable skill. But how do our brains learn to code?

Learn how to use Google Colab for coding, data science, and AI projects with this beginner-friendly guide. Free GPU access ...

This important work employed a recent, functional muscle network analysis for evaluating rehabilitation outcomes in post-stroke patients. While the research direction is relevant and suggests the need ...

Nvidia also believes that future progress of AI will be fueled by contributions in the open-source community. In an interview ...

This course takes a classic, academic approach, offering a deep dive into AI algorithms, logic, probabilistic models, and ...

Abstract: Polar codes with large kernels offer improved error-correction performance but suffer from high decoding complexity due to costly marginalization operations. In this work, we propose neural ...

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 ...

Implement Neural Network in Python from Scratch ! In this video, we will implement MultClass Classification with Softmax by making a Neural Network in Python from Scratch. We will not use any build in ...