Like all AI models based on the Transformer architecture, the large language models (LLMs) that underpin today’s coding ...

I'm not a programmer, but I tried four vibe coding tools to see if I could build anything at all on my own. Here's what I did and did not accomplish.

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

Systems like OpenAI’s GPT-5 are accelerating research in math, biology and chemistry. But there is a debate over whether it ...

Abstract: Filter shape index modulation (FSIM) is a promising approach that unlike most existing index modulation schemes does not sacrifice resource utilization by deactivating available resources ...

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 ...

CATS-Net (Concept Abstraction and Task-Solving Network) is a comprehensive framework for understanding and implementing concept abstraction in neural networks. The system combines supervised learning ...

Abstract: Fourier ptychography (FP) is a new computational imaging technique with the advantage of being able to provide super-resolution imaging. FP has a very complex degradation process. Merging ...

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 ...