Imagine trying to design a key for a lock that is constantly changing its shape. That is the exact challenge we face in ...
A team led by Northwestern University and Shirley Ryan AbilityLab scientists have developed a new technology that can eavesdrop on the hidden electrical dialogues unfolding inside miniature, lab-grown ...
Abstract: Seismic fault interpretation is a critical task for subsurface modeling and resource exploration. Although data-driven deep learning methods have shown considerable potential in automating ...
Abstract: In recent years, numerous designs have used systolic arrays to accelerate convolutional neural network (CNN) inference. In this work, we demonstrate that we can further speed up CNN ...
Eric Gutiérrez, 6th February 2026. A Python implementation of a 1-hidden layer neural network built entirely from first principles. This project avoids deep learning libraries (like TensorFlow or ...