AI wasn't created by one person, instead, it evolved over decades. British mathematician Alan Turing shaped the idea of AI by asking "Can machines think?" and proposing the Turing test. In 1956, at ...

A team led by the BRAINS Center for Brain-Inspired Computing at the University of Twente has demonstrated a new way to make electronic materials adapt in a manner comparable to machine learning. Their ...

This repository contains my complete solutions to the legendary Karan's Mega Project List — a curated collection of programming challenges designed to improve coding skills across multiple domains.

ABSTRACT: The accurate prediction of backbreak, a crucial parameter in mining operations, has a significant influence on safety and operational efficiency. The occurrence of this phenomenon is ...

Deep neural networks (DNNs), which power modern artificial intelligence (AI) models, are machine learning systems that learn hidden patterns from various types of data, be it images, audio or text, to ...

What would you like to Propose? I propose adding flowcharts for selected algorithms to make it easier for beginners to understand the logic visually. Flowcharts will complement the existing code ...

Abstract: Post-training quantization (PTQ) has emerged as a practical approach to compress large neural networks, making them highly efficient for deployment. However, effectively reducing these ...

Abstract: This study proposes theories and applications of probabilistic divergences to neural network training. This theory generalizes the cross-entropy method for backpropagation to the ...

Build your own backpropagation algorithm from scratch using Python — perfect for hands-on learners! Attorney reveals what Kirk shooting suspect told roommate via text: ‘I’d hope to keep this secret’ ...