With Metal 4, Apple is introducing two practical moves that could help more AAA games run even better on the Mac.

Muhammad H, Sigel CS, Campanella G, et al: Unsupervised subtyping of cholangiocarcinoma using a deep clustering convolutional autoencoder, in Shen D (ed): Medical Image Computing and Computer Assisted ...

Apple continues to improve gaming features on Macs with Metal 4 for Apple Silicon on its latest version of macOS Tahoe 26 announced at WWDC 26.

Architectural Diversity: Autoencoder-based approaches span a wide range—from basic feedforward variants to more complex designs including convolutional VAEs, adversarial AEs, and blind denoising ...

We designed a graph-informed convolutional autoencoder called GICA to extract high-level features from the functional connectivity features. Furthermore, an attention layer based on recurrence rate ...

In this talk, computer scientist Finale Doshi-Velez and Cyberlaw Clinic lawyer Mason Kortz will discuss the challenges and opportunities for designing AIs that help us make decisions in these ...

The experimental results show that this method can effectively integrate the channel attention module and the fully convolutional autoencoder. Although it is an unsupervised feature learning model, it ...

Denoising ECG signals is particularly challenging because noise usually overlaps with the frequency range of the signal of interest. We proposed a convolutional autoencoder with sequential and channel ...

This article presents a fast and accurate electrocardiogram (ECG) denoising and classification method for low-quality ECG signals. To achieve this, a novel attention-based convolutional denoising ...