The key themes that defined the year behind us will also shape the one ahead. The most-read articles of 2025 tracked a return ...

Neuroscience continually strives to unravel the intricate relationship between neural network morphology, spiking dynamics, and their resulting functional ...

The researchers behind the recent work, based in China, decided to implement something similar for an artificial skin that ...

Abstract: Physics-informed neural networks (PINNs) have recently been utilized to tackle wave equation-based forward and inverse problems. However, they encounter challenges in accurately predicting ...

Graph Neural Networks (GNNs) have become a powerful tool in order to learn from graph-structured data. Their ability to capture complex relationships and dependencies within graph structures, allows ...

Take a closer look at both the landing page and dashboard of your next AI SaaS platform. These essential features are designed to enhance your experience and are included at no extra cost with your ...