We will create a Deep Neural Network python from scratch. We are not going to use Tensorflow or any built-in model to write ...

Abstract: In this paper, we propose a projective grid model that enables learning representation of foam effects using artificial neural networks. In 3D fluid simulations, foam is one of the most ...

Abstract: Motion planning is a fundamental challenge in robotics, involving the creation of trajectories from start to goal states while meeting constraints like collision avoidance and joint limits.

Right now, the debate about consciousness often feels frozen between two entrenched positions. On one side sits computational ...

Research compared students who typed lecture notes on laptops with those who wrote lecture notes by hand during the same time.

Findings reveal how harm and responsibility shape feelings of guilt and shame in different ways, which in turn drive behaviours in response to these emotions.

Feelings of guilt and shame can lead us to behave in a variety of different ways, including trying to make amends or save face, cooperating more with ...

We've all been there, protecting our ears—the school play in the gym or community hall, where sound is distorted due to ...

Machine learning techniques that make use of tensor networks could manipulate data more efficiently and help open the black ...

Shifting focus on a visual scene without moving our eyes—think driving, or reading a room for the reaction to your joke—is a ...

We have explained the difference between Deep Learning and Machine Learning in simple language with practical use cases.