RIT computing students and Professor Rui Li are working on a National Institutes of Health-funded project to use AI in ...

In a sun-drenched Nevada desert, the Gemini project became America’s largest dispatchable single-phase solar + storage system, powering up to 10% of Nevada’s peak demand. This POWER Top Plant award ...

Abstract: This senior thesis develops a real-time handwritten digit identification system using a Raspberry Pi 3B+ with a camera module, leveraging a lightweight CNN optimized with MNIST. The project ...

Northrop Grumman is developing the Space Force's Deep-Space Advanced Radar Capability, which will track activity in geosynchronous orbit. The Space Force’s deep-space radar hit a testing milestone in ...

Python maintains its runaway top ranking in the Tiobe index of programming language popularity, while older languages continue to rise. Perl surprises. Python, the highest-ranking language ever in the ...

• Architecture: 4-layer CNN (convolutional layers with 32, 64, 128, and 256 filters) → Max pooling → Dropout → Fully connected layers. • Training: Dataset: MNIST (28×28 grayscale digits).

Immigration and Customs Enforcement (ICE) is using a smartphone app to identify people based on an image of their fingerprints or face, 404 Media reported Thursday, based on a review of internal ICE ...

This project implements a CNN-based image classification model using the MNIST dataset to recognize handwritten digits from 0 to 9. It is built using TensorFlow, trained in Google Colab, and ...

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. Home Depot raises red flag about customer ...