Instagram just made one of its most popular post formats significantly more useful. Starting today, you can add a unique caption to every single slide in a carousel post. So, instead of one caption ...

An exclusive excerpt from Every Screen On The Planet reveals how the social media app’s powerful recommendation engine was shaped by a bunch of ordinary, twentysomething curators—including a guy named ...

Abstract: Transformer on-load tap changers (OLTCs) are critical components for voltage regulation and losses minimization in distribution networks, particularly under high variability due to renewable ...

Over the past decade, fuzzers have become the most widely used tools to test software security and robustness. Generating random inputs and feeding them to an application, they help detect undesired ...

In this post, we describe FrodoKEM, a key encapsulation protocol that offers a simple design and provides strong security guarantees even in a future with powerful quantum computers. For decades, ...

YouTube uses your history to suggest videos, but you can reset it anytime. To clear your YouTube history, follow simple steps on browser or mobile. Prevent YouTube ...

Social media changed how artists share their work. It’s no longer about galleries or word-of-mouth. Now, an algorithm decides who sees what. One day, an artist’s post gets thousands of likes. The next ...

This simple website pulls you out of your viewing ruts. Before modern social media, a browser extension called StumbleUpon let you click a button and see a random website. I, like many people, find ...

Finding bipartite matchings is one of the oldest and most well-studied problems in computer science. This problem comes up in many guises, such as when matching donors to recipients for organ ...

Probabilistic models, such as hidden Markov models or Bayesian networks, are commonly used to model biological data. Much of their popularity can be attributed to the existence of efficient and robust ...

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep ...