A deep learning framework combines convolutional and bidirectional recurrent networks to improve protein function prediction from genomic ...

Prominently featured in The Inner Circle, Joshua Curtis Kuffour is acknowledged as a Pinnacle Professional Member Inner Circle of Excellence for his contributions to Advancing Energy Systems ...

Overview Python remains one of the most widely used languages in robotics, thanks to its readability, extensive libraries, ...

GPT-5.2 Pro delivers a Lean-verified proof of Erdős Problem 397, marking a shift from pattern-matching AI to autonomous ...

Learn how to implement the Adadelta optimization algorithm from scratch in Python. This tutorial explains the math behind Adadelta, why it was introduced as an improvement over Adagrad, and guides you ...

Learn how to implement the Nadam optimizer from scratch in Python. This tutorial walks you through the math behind Nadam, explains how it builds on Adam with Nesterov momentum, and shows you how to ...

Abstract: Mathematical optimization is the process of determining the set of globally or locally optimal parameters in a finite or infinite search space. It has been extensively employed in the ...

In a recent write-up, [David Delony] explains how he built a Wolfram Mathematica-like engine with Python. Core to the system is SymPy for symbolic math support. [David] said being able to work with ...

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. In our recently published article, we compared different ...

Did you consider yourself a mathematician the last time you sat down to solve a Sudoku puzzle? It’s certainly a mentally stimulating activity—review the squares, jot down a few potential answers, scan ...