With lazy imports, JIT compilation, Python-generated C, or the Python-esque Mojo, it has never been easier to make Python go ...

Every animal that has ever been studied closely, from the fruit fly to the philosopher, surrenders each day to a state that looks, from the outside, like a small rehearsal for death. A new Perspective ...

NEURON has been widely used as an empirically-based simulation tool, especially for multi-compartment conductance-based neuronal modeling. The network mediating feeding in Aplysia californica has been ...

Abstract: With the accumulation of resources in the era of big data and the rise of pre-trained models in deep learning, optimizing neural networks for various tasks often involves different ...

Forward-looking: Nvidia's latest push into neural rendering is not just unfolding on keynote stages, but also in follow-up technical briefings. A recent video released days after the DLSS 5 ...

We explore one possibility for relieving the U.S. housing crisis. By Conor Dougherty I cover housing. Amid the sprawl of Orange County, Calif., is something unusual: A 300,000-person city with a dense ...

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 ...

When engineers build AI language models like GPT-5 from training data, at least two major processing features emerge: memorization (reciting exact text they’ve seen before, like famous quotes or ...

Abstract: Estimating gaze direction often suffers from the presence of distracting, non-gaze-related features within full-face images, which can hinder accurate prediction. In this article, we present ...

Accessing ocean velocity data is critical to improving our understanding of ocean dynamics, which affects our prediction capabilities for a range of services that the ocean provides. Because ocean ...