The Economist

Top AI models underperform in languages other than English

This illustrates a widespread problem affecting large language models (LLMs): even when an English-language version passes a ...
IEEE

UAV Image Classification: A Comparative Evaluation of CNN Models

Abstract: Aerial image classification plays a vital role in applications such as building footprint extraction, water/soil analysis, 3D reconstruction. Accurate classification enables timely ...

“Use a gun” or “beat the crap out of him”: AI chatbot urged violence, study finds

An advocacy group said its study of 10 artificial intelligence chatbots found that most of them gave at least some help to ...
Tech Xplore

Improving AI models' ability to explain their predictions

In high-stakes settings like medical diagnostics, users often want to know what led a computer vision model to make a certain prediction, so they can determine whether to trust its output. Concept ...
IEEE

Innovative Lightweight CNN Model for Stage-Wise Alzheimer's Disease Detection

Abstract: A common neurological condition that causes cognitive decline, particularly in older people, is Alzheimer's disease (AD). In order to improve patient treatment and minimize the progression ...
IEEE

Pao-Ding: Accelerating Cross-Edge Video Analytics via Automated CNN Model Partitioning

Abstract: Cross-edge video analytics is a technology that involves collaborative processing of video data among multiple edge devices. To handle increasingly complex video analytics tasks on edge ...
New Scientist

AIs can’t stop recommending nuclear strikes in war game simulations

Advanced AI models appear willing to deploy nuclear weapons without the same reservations humans have when put into simulated geopolitical crises. Kenneth Payne at King’s College London set three ...
AOL

It’s T-48 hours until a potential blockbuster Northeast snowstorm, and forecast models couldn’t be farther apart

What are meteorologists supposed to do when the computer models they rely on disagree sharply with less than 48 hours to go before the start of a potential blockbuster storm? That’s the supremely ...
IEEE

Implementation and Comparison of CNN Models on CIFAR-10 Dataset

Abstract: This study investigates the vulnerability of Convolutional Neural Network (CNN) models to adversarial attacks, focusing on the Fast Gradient Sign Method (FGSM). We implemented and compared ...
IEEE

A CNN-LSTM-Attention Model for Fatigue State Assessment of Helicopter Rotor Using FBG Sensors

Abstract: Accurate fatigue state assessment of helicopter rotors is essential for structural health monitoring, enabling early identification of degradation and improved operational safety. However, ...
IEEE

Short-Term Photovoltaic Power Prediction Based on GWO-CNN-LSTM-MATT Hybrid Model

Abstract: This paper proposes a photovoltaic power prediction model based on GWO-CNN-LSTM-MATT. Firstly, the convolutional neural network (CNN) is used to extract the spatial features and local ...