EurekAlert!

Deep variational autoencoder for proteomics mass spectrometry data analysis

Jianwei Shuai's team and Jiahuai Han's team at Xiamen University have developed a deep autoencoder-based data-independent acquisition data analysis software for protein mass spectrometry, which ...
Seeking Alpha

MicroAlgo Inc. Develops Classifier Auto-Optimization Technology Based on Variational Quantum Algorithms, Accelerating the Advancement of Quantum Machine Learning

SHENZHEN, China, May 2, 2025 /PRNewswire/ -- MicroAlgo Inc. (MLGO) (the "Company" or "MicroAlgo") announced today the launch of their latest classifier auto-optimization technology based on ...
Business Insider

Sub Rosa Ventures and Cleveland Electric Labs Awarded National Laboratory Technology Licensing Opportunity for Variational Autoencoder for Network Anomaly Detection

TWINSBURG, Ohio, Nov. 8, 2023 /PRNewswire/ -- Sub Rosa Ventures (SRV), Cleveland Electric Labs (CEL), and Idaho National Laboratories (INL) have reached an agreement providing SRV exclusive licensing ...
Morningstar

WiMi Lays Out Variational Quantum Algorithms for Multidimensional Data Task Processing

BEIJING, Sept. 12, 2025 /PRNewswire/ -- WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, today announced an in ...
JSTOR Daily

A fast contraction algorithm using two inertial extrapolations for variational inclusion problem and data classification

In this paper, we propose a new method for solving variational inclusion problems in Hilbert spaces. This algorithm uses two inertial terms to speed up the convergence. In order to avoid computing the ...