Abstract: Effectively estimating the uncertainty attached to neural network predictions thus becomes essential to improve robustness, reliability, and trustworthiness. This paper provides an overview ...

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 ...

A new website called Moltbook has become the talk of Silicon Valley and a Rorschach test for belief in the state of artificial intelligence. By Cade Metz Reporting from San Francisco Last Wednesday, ...

This repo is intended to provide a simple pipeline example for getting started with programmtic data ingestion and updates in bit.io. To keep the repo simple, many best practices such as logging, ...

Abstract: The practice of deep learning has shown that neural networks generalize remarkably well even with an extreme number of learned parameters. This appears to contradict traditional statistical ...