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.

Apple's research explains how AI can identify bugs in code and generate QE tests

New papers on Apple's machine learning blog detail how AI can be used for faster, cheaper, and more effective QE testing, as ...
IEEE

Prediction of Transmission Spectrum From Photonic Energy Band via Autoencoder Network

Abstract: Optical topological insulators, as an emerging type of photonic material, present substantial benefits for optical communication. The advanced pattern recognition capabilities of deep ...
IEEE

A Hybrid Prognostic Approach Combining a Stacked Multihead Self-Attention Autoencoder and Multimodal Relevance Sampling Particle Filter

Abstract: Accurate prediction of the remaining useful life (RUL) of bearings is critical for optimizing maintenance strategies, preventing unexpected failures, and enhancing repair management. Despite ...