19 AI-infused apps that prove NPUs are already changing how we work

NPUs expand the capabilities of modern notebooks and accelerate AI services and functions. More and more applications are ...
Tech Xplore

Two-stage framework reconstructs sharp 4D scenes from blurry handheld videos

Neural Radiance Fields (NeRF) is a fascinating technique that creates three-dimensional (3D) representations of a scene from ...
Ars Technica

Google improves Gemini AI image editing with “nano banana” model

Something unusual happened in the world of AI image editing recently. A new model, known as "nano banana," started making the rounds with impressive abilities that landed it at the top of the LMArena ...
Bleeping Computer

New AI attack hides data-theft prompts in downscaled images

Researchers have developed a novel attack that steals user data by injecting malicious prompts in images processed by AI systems before delivering them to a large language model. The method relies on ...
IEEE

Comparative Analysis of Custom Neural Network Model and VGG-16 for Multi-class Image Classification

Abstract: This study assesses the performance of CustomNet, a lightweight neural network model trained using NumPy and Pandas, compared to the VGG-16 architecture on the datasets of MNIST, Fashion ...
Frontiers

Comparative analysis of convolutional neural networks and transformer architectures for breast cancer histopathological image classification

The First Hospital of Hunan University of Chinese Medicine, Hunan University of Chinese Medicine, Changsha, China Background: Breast cancer remains the most prevalent malignancy in women globally, ...
Scientific Research Publishing

Chen, W., Zhang, Y., Yeo, C.K., Lau, C.T. and Lee, B.S. (2018) Unsupervised Rumor Detection Based on Users’ Behaviors Using Neural Networks. Pattern Recognition Letters, 105 ...

ABSTRACT: Currently, social platforms provide places for people not only to gather information but also to generate and propagate rumors. Consequently, rumor detection has become a major global task ...
GitHub

Handwritten Digits Classification Using Neural Networks

This project is a programming assignment for CSE474/574: Introduction to Machine Learning. The goal is to implement a Multilayer Perceptron (MLP) Neural Network to classify handwritten digits from the ...
Visual Studio Magazine

Neural Network Quantile Regression Using C#

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of neural network quantile regression. The goal of a quantile regression problem is to predict a single numeric ...