New edition builds on the widely used prior version—now expanded to 530+ questions, added diagnostics, difficulty ...

Machine learning models are usually complimented for their intelligence. However, their success mostly hinges on one fundamental aspect: data labeling for machine learning. A model has to get familiar ...

Carolina North, a satellite development 1.6 miles from UNC-Chapel Hill's campus, is planned to turn 250 acres of primarily empty land into a "live, work, play and learning" space.

Learn how to build a digit recognition model from scratch using PyTorch! This beginner-friendly deep learning project walks you through loading the MNIST dataset, creating a neural network, training ...

Deep Learning Crash Course: A Hands-On, Project-Based Introduction to Artificial Intelligence is written by Giovanni Volpe, Benjamin Midtvedt, Jesús Pineda, Henrik Klein Moberg, Harshith Bachimanchi, ...

Project UPWARDS has culminated in the manufacture, physical testing and validation of a disposal-ready Universal Canister System for used nuclear fuel and high-level radioactive waste from advanced ...

Mediscan is a lightweight Flask web application and training pipeline for automated detection of common retinal/eye conditions from fundus or slit-lamp images using convolutional neural networks (CNNs ...

Abstract: Controlling construction projects requires careful planning, and the most popular modelling techniques are the discrete-event simulator (DES), linear schedule (LS), and the critical path ...

aMedical Big Data Research Center, Chinese The People’s Liberation Army General Hospital, Beijing, China bNational Engineering Research Center of Medical Big Data Application Technology, The People’s ...

This project implements a Convolutional Neural Network (CNN) to classify images using TensorFlow /Keras. It was created as part of Task 2 of the Data-Science internship assignment. Default dataset: ...