Abstract: High-frequency oscillations (HFOs) recorded by the intracranial electroencephalography (iEEG) are the promising biomarkers of epileptogenic zones. Accurate detection of HFOs is the key to ...

Cyber-attacks have become more frequent, targeted, and complex as the exponential growth in computer networks and the development of Internet of Things (IoT). Network intrusion detection system (NIDS) ...

In our recent paper, we propose VITS: Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech. Several recent end-to-end text-to-speech (TTS) models enabling single ...

This repository contains the official implementation of CAMMST (Contrastive and Adaptive Multi-modal Masked Autoencoder for Spatial Transcriptomics). Note: The overall experimental protocol is based ...

For the first time, a research team has demonstrated an artificial intelligence semiconductor technology that integrates the ...

The ferroelectric memory array performs both probabilistic latent variable sampling using RTN and deterministic decoding based on VMM. Seoul National University College of Engineering announced that a ...

Because Krea relinquishes centralized control over the downstream deployment of its open weights, the contract legally binds ...

A glass of water may look perfectly uniform, but at the molecular level, it could be carrying two different forms that are ...

临床试验中的受试者在参与过程中的激励（Incentivization）一直具有挑战性，尽管采用传统补偿策略，许多研究仍无法达到招募或留存目标。随着数字健康（Digital Health）的发展，新的方法可望更有意义地吸引受试者参与。研究人员提出将独特数字图像（ 临床试验中的受试者在参与过程中的激励（Incentivization）一直具有挑战性，尽管采用传统补偿策略，许多研究仍无法达到招募或留存目 ...