Tag: Neural

Liquid neural nets (LNNs) are an exciting, relatively new direction in AI/ML research that promises more compact and dynamic neural nets for time series prediction. LNNs offer a new approach to tasks like weather prediction, speech recognition, and autonomous driving. The primary benefit LNNs o...

There are many ways in which an artificial neural network (ANN) can break down and not perform well. In this blog, we go through some of the essential requirements for getting a feed-forward ANN to work properly for a typical classification problem. The dataset chosen was the “Large Soybean Da...

I have a master's degree in physics and work as an aerospace engineering researcher. Physics and engineering are two distinct sciences that share a desire to understand nature and the ability to model it. The approach of a physicist is more theoretical. The physici...

Neural networks have become ubiquitous in our lives, but their inner workings are still baffling even to many practitioners. In this post, I’ll explain how Feedforward Neural Networks conceptually work using just basic linear algebra and geometry. At their core, these networks lea...

Additive manufacturing is a promising method for developing metamaterials: while the material (resin, polymer etc.) printed by the machine is typically of one type (with a predetermined stiffness etc.), we can achieve varying properties and compressive behaviours by changing the geometry of the prin...

This post is based on recent works with Cristian Bodnar, Xiaowen Dong, Ben Chamberlain, Davide Eynard, Fabrizio Frasca, Francesco Di Giovanni, Maria Gorinova, Pietro Liò, Giulia Luise, Sid Mishra, Guido Montúfar, Emanuele Rossi, Konstantin Rusch, Nina Otter, James Rowbottom, Jake Toppi...

In this article, I will walk through the development of an artificial neural network from scratch using NumPy. The architecture of this model is the most basic of all ANNs — a simple feed-forward network. I will also show the Keras equivalent of this model, as I tried to make my impl...

In the realm of user experience (UX) design, the integration of neuroscience, particularly the principle of neural entrainment and its role in multisensory integration, presents a groundbreaking opportunity to redefine digital interactions. This concept, though not widely recognized in mainstream UX...