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 ...
Science Daily

AI just found 5 powerful materials that could replace lithium batteries

AI is helping scientists crack the code on next-gen batteries that could replace lithium-ion tech. By discovering novel porous materials, researchers may have paved the way for more powerful and ...
IEEE

Rapidae: A Python Library for Creation, Experimentation, and Benchmarking of Autoencoder Models

Abstract: Autoencoders have proven successful across diverse applications such as data reconstruction, anomaly detection, and feature extraction, however, these advancements remain largely dispersed ...
GitHub

Problems encountered when processing my own scene

Following README.md,I have successfully completed the configuration of the environment. But problems occoured when I tried to process my own scene: Step 2: Train the Autoencoder and get the lower-dims ...
Visual Studio Magazine

Data Anomaly Detection Using a Neural Autoencoder with C#

Dr. James McCaffrey of Microsoft Research tackles the process of examining a set of source data to find data items that are different in some way from the majority of the source items. Data anomaly ...
GitHub

LiDAR Diffusion Models [CVPR 2024]

CUDA_VISIBLE_DEVICES=0 python scripts/sample.py -d kitti -r models/lidm/kitti/[model_name]/model.ckpt -n 2000 --eval Besides, to train your own LiDAR Diffusion Models ...
marktechpost

Researchers From INRIA France Propose ‘Pythae’: An Open-Source Python Library Unifying Common And State-of-the-Art Generative AutoEncoder (GAE) Implementations

Variational AutoEncoders (VAE) have grown in popularity due to their scalability and computational efficiency. It is widely used in voice modeling, clustering, and data augmentation applications. This ...