Human memory and attention are core cognitive functions that shape perception, learning, and decision-making. And whilst decades of research have provided ...

A better model would take these factors into account to offer a more realistic recommendation, perhaps by providing an option ...

Medical artificial intelligence is a hugely appealing concept. In theory, models can analyze vast amounts of information, recognize subtle patterns in data, and are never too tired or busy to provide ...

Scientists at Google DeepMind —the company’s artificial intelligence research arm—say they’ve created an A.I. tool that can ...

Learn how to model a mass on a vertical spring numerically using Python! 🐍🧲 This tutorial walks you step by step through setting up the equations, coding the simulation, and analyzing the results.

Amid the myriad discussions about AI – from the astounding amount of money being spent by vendors and enterprises and the ...

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

TACC is helping students master leading technologies such as AI through a series of academic courses aimed at thriving in a changing computational landscape. TACC's Joe Stubbs lectures on intelligent ...

Abstract: The increased flexibility and introduced coupling between links and cylinders pose challenges for modeling flexible hydraulic manipulators (FHMs). The traditional assumed mode method (AMM) ...

ABSTRACT: This study investigates projectile motion under quadratic air drag, focusing on mass-dependent dynamics using the Runge-Kutta (RK4) method implemented in FreeMat. Quadratic drag, predominant ...