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 ...

Abstract: Aiming at the real-time problem of unmanned aerial vehicle (UAV) trajectory optimization, this paper constructs a decision system based on an improved Recurrent Neural Network (RNN). First, ...

The Willow processor runs the first verifiable algorithm with real-world applications, marking a shift from theory to practical quantum computing. Google Quantum AI has demonstrated what it describes ...

Explore 20 different activation functions for deep neural networks, with Python examples including ELU, ReLU, Leaky-ReLU, Sigmoid, and more. #ActivationFunctions #DeepLearning #Python Tropical Storm ...

We included 77 studies: 47 studies reported factors from clinicians' perspective, 33 studies reported patients' perspective, 23 studies reported implementation strategies, and seven studies evaluated ...

When Fei-Fei Li arrived in Princeton in January 2007 as an assistant professor, she was assigned an office on the second floor of the computer science building. Her neighbor was Christiane Fellbaum.

What if the programming language you rely on most is on the brink of a transformation? For millions of developers worldwide, Python is not just a tool, it’s a cornerstone of their craft, powering ...

The White House has answered what had been one of the major outstanding questions regarding its pending deal to transfer TikTok’s US operations to a majority American ownership group: Under the ...

Exposure to vaginal estradiol not linked to increased rate of recurrent ischemic stroke when adjusted for comorbidity, medications, income, education. (HealthDay News) — For women with a history of ...

This video is an overall package to understand Dropout in Neural Network and then implement it in Python from scratch. Dropout in Neural Network is a regularization technique in Deep Learning to ...