When Covid-19 struck in 2020, Sashikumaar Ganeshan at the Indian Institute of Science, Bangalore built a model to predict the spread of the contagion, marking his deep immersion into AI technologies.

Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...

Abstract: Spiking neural networks (SNNs) are attractive algorithms that pose numerous potential advantages over traditional neural networks. One primary benefit of SNNs is that they may be run ...

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 ...

This repository showcases **10 curated projects** that demonstrate the mathematics behind Artificial Neural Networks (ANNs) using practical Python implementations. Ideal for learners, researchers, and ...

A high-performance neural network implementation written in Rust from scratch. This project demonstrates building AI/ML components in Rust for superior speed and ...

The Boryviter Center of Research is developing a neural network for the passive collection and analysis of publications in enemy media resources. Pavlo Musienko, head of the analytical department, ...

Institute of Physics, Faculty of Physics, Astronomy and Informatics, Nicolaus Copernicus University, Grudziądzka 5, 87-100 Toruń, Poland ...