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 ...

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 ...

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, ...

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, ...

Geoffrey Hinton, professor at the University of Toronto and engineering fellow at Google Brain, recently published a paper on the Forward-Forward algorithm (FF), a technique for training neural ...

Dr. James McCaffrey of Microsoft Research says that when quantum computing becomes generally available, evolutionary algorithms for training huge neural networks could become a very important and ...

Tea polyphenols are of great interest owing to their beneficial medicinal properties ( Al-Hatim et al., 2022). Increasing evidence shows that polyphenols substances found in tea can enhance general ...

Textbooks that provide a broad algorithmic perspective on the mechanics and dynamics of robots almost unfailingly serve students at the graduate level. Introduction to Autonomous Robots offers a ...

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 ...