School of Information Science and Engineering, Northeastern University, Shenyang 110819, China Liaoning Key Laboratory of Intelligent Diagnosis and Safety for Metallurgical Industry, Northeastern ...

Abstract: Neural networks (NNs) have numerous applications to online processes, but the problem of stability is rarely discussed. This is an extremely important issue because, if the stability of a ...

Imagine you're teaching a robot to make decisions — like whether a picture shows a cat or a dog. To do that, you feed it numbers (like pixel brightness) and it processes those numbers layer by layer, ...

This important study introduces a fully differentiable variant of the Gillespie algorithm as an approximate stochastic simulation scheme for complex chemical reaction networks, allowing kinetic ...

Five DECADES of research into artificial neural networks have earned Geoffrey Hinton the moniker of the Godfather of artificial intelligence (AI). Work by his group at the University of Toronto laid ...

This repo attempts to proposes a supervised learning algorithm of SNN by using spike sequences with complex spatio-temporal information. We explore an error back ...

Large language models have captured the news cycle, but there are many other kinds of machine learning and deep learning with many different use cases. Amid all the hype and hysteria about ChatGPT, ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Spencer Judge discusses the architectural ...

Spiking neural network (SNN) is considered to be the brain-like model that best conforms to the biological mechanism of the brain. Due to the non-differentiability of the spike, the training method of ...

The purpose is to solve the problem of college students’ employment difficulties. It is the development trend of the times to master the basic psychological pressure state of students and analyze ...