New brain-computer interface AI model improves real-world EEG data while advancing Zyphra's mission to develop human-aligned ...
Abstract: Industrial data collected from similar processes under varying production specifications or monitoring configurations often exhibit structural heterogeneity, particularly in the form of ...
Abstract: Efficient compression of sparse point cloud geometry remains a critical challenge in 3D content processing, particularly for low-rate scenarios where conventional codecs struggle to maintain ...
AutoencoderZ is an advanced Autoencoder model designed for dimensionality reduction of various data types, such as seismometer and strainmeter data. It features an encoder-decoder architecture that ...
Advancing proprietary AI discovery of high-bioavailability Oral GLP-1 drug candidates. HOUSTON, Feb. 3, 2026 /PRNewswire/ -- Deep EigenMatics, Inc., a pioneer in high-velocity Artificial Intelligence ...
Introduction: Thyroid nodule segmentation in ultrasound (US) images is a valuable yet challenging task, playing a critical role in diagnosing thyroid cancer. The difficulty arises from factors such as ...
The rapid growth of unlabeled time-series data in domains such as wireless communications, radar, biomedical engineering, and the Internet of Things (IoT) has driven advancements in unsupervised ...
I have a question regarding the pretrained weight file autoencoder_vq_f4.pth provided in the ResShift repository. Was this autoencoder trained separately and specifically for the ResShift experiments, ...