Discover how artificial intelligence evolved over a century through periods of innovation, AI winters, and the deep learning breakthroughs shaping 2026.

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 ...

ProPauli is a modern and efficient C++ library for the simulation of Quantum circuits. It relies on evolving Quantum observables backward in the Heisenberg picture, an approach that can be ...

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 ...

As we progress into 2025, Artificial Intelligence (AI) continues to reshape industries and revolutionize how we interact with technology. For those starting their journey in AI, it’s essential to ...

Artificial neural networks, deep-learning methods and the backpropagation algorithm 1 form the foundation of modern machine learning and artificial intelligence. These methods are almost always used ...

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 ...

Dive into the concept of hypothesis space, the set of all possible hypotheses a learning algorithm can express. Backpropagation, in conjunction with an inductive bias, navigates this space efficiently ...

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 ...

When I asked ChatGPT to name the editor in chief of Spektrum der Wissenschaft, the German-language sister publication of Scientific American, the answer was, “I have the latest information until 2021, ...