Thermal error is a primary factor affecting the working accuracy of numerical control machine, whereas it can't be measured on-line. So an accurate predictive e ...

eLife Assessment This work models reinforcement-learning experiments using a recurrent neural network. It examines if the detailed credit assignment necessary for back-propagation through time can be ...

Using the Take Back Half approach to effectively “take back” the error terms for theoretically zero integral nonlinearity.

Alignment and sequencing errors are a major concern in molecular evolution, and this valuable study represents a welcome improvement for genome-wide scans of positive selection. This new method seems ...

Written for you by our author Tejasri Gururaj,edited by Gaby Clark, and fact-checked and reviewed by Robert Egan —thisarticle is the result of careful human work. We rely on readers like you to ...

The trial could last for three weeks.Stability, based in London, owns a widely used AI image-making tool that sparked enthusiasm for the instant creation of AI artwork and photorealistic images ...

Analysis: Norris’s crash into McLaren teammate and championship rival Oscar Piastri at the end of the Canadian GP was completely needless – but was it a sign of something deeper?

Completing the above work will help to quantitatively analyze the performance of the graph signal adaptive estimation algorithm at transient moments, which is what this paper is working on. By using ...

From newer favorites like ‘Anora’ to classics like ‘Rear Window’ you can find plenty of great cinema on streaming. Here are 30 films we recommend — whether you have Netflix, Amazon Prime ...

Simple two-layer neural network written in Python mainly to solve the XOR problem. NN implemented in two versions: without tensorflow usage and with tensorflow package. It uses back-propagation ...