Apple researchers explore how AI can predict bugs, write tests, and even fix code

Apple has published three interesting studies that offer some insight into how AI can improve workflows, quality, and productivity for developers.
The Conversation

5 ways students can think about learning so that they can learn more − and how their teachers can help

Jerrid Kruse receives funding from the National Science Foundation, the NASA Iowa Space Grant Consortium, and the William G. Stowe Foundation. During my years teaching science in middle school, high ...
SFGate

'Exciting' deep sea discovery found off the California coast

When an unfamiliar pink fish appeared more than 10,000 feet down in the outer reaches of Monterey Canyon in 2019, scientists with the Monterey Bay Aquarium Research Institute were able to document the ...
Scientific Research Publishing

Traffic Speed Prediction Based on Autoencoder and Deep Learning ()

Traffic prediction is the core of intelligent transportation system, and accurate traffic speed prediction is the key to optimize traffic management. Currently, the traffic speed prediction model ...
IEEE

Self-Supervised Learning Meets Custom Autoencoder Classifier: A Semi-Supervised Approach for Encrypted Traffic Anomaly Detection

Abstract: The widespread adoption of encryption in computer networks has made detecting malicious traffic, especially at network perimeters, increasingly challenging. As packet contents are concealed, ...
GitHub

Enhancing EV Cost Prediction Using AutoEncoder-Based Feature Learning

Electric Vehicle (EV) cost prediction involves analyzing complex, high-dimensional data that often contains noise, multicollinearity, and irrelevant features. Traditional regression models struggle to ...
GitHub

Lesson No. 3: Variational autoencoder code for CelebA dataset takes too long to load

train_data = utils.image_dataset_from_directory( "celeba-dataset/img_align_celeba/img_align_celeba", labels = None, color_mode="rgb", image_size = (64, 64), batch ...