Deep neural networks (DNNs), the machine learning algorithms underpinning the functioning of large language models (LLMs) and other artificial intelligence (AI) models, learn to make accurate ...

🧮 Handwritten Digit Recognizer This project trains a Convolutional Neural Network (CNN) to recognize handwritten digits using the popular MNIST dataset. It’s a beginner-friendly deep learning project ...

🧠 Handwritten Digit Recognition using Deep Learning This project implements a CNN-based image classification model using the MNIST dataset to recognize handwritten digits from 0 to 9. It is built ...

Learn how to train a neural network to recognize hand-drawn digits using PyTorch! A fun and beginner-friendly intro to deep learning and computer vision.

More information: Andrei V. Ermolaev et al, Limits of nonlinear and dispersive fiber propagation for an optical fiber-based extreme learning machine, Optics Letters (2025).

In-memory computing (IMC) is an emerging computational approach that addresses the processor-memory divide in modern computing systems. The core concept is to leverage the physics of memory devices ...

Following records requests from The Post, officials paused the first known, widespread live facial recognition program used by police in the United States.

Q&A Predicting the Future Using Azure Machine Learning By David Ramel 05/13/2025 The ability to anticipate what comes next has long been a competitive advantage -- one that's increasingly within reach ...