News

IEEE23d
Effective Variational-Autoencoder-Based Generative Models for Highly Imbalanced Fault Detection Data in Semiconductor Manufacturing
To mitigate, this paper proposes using a variational autoencoder (VAE) as a data augmentation strategy ... via the individual strategy enables the adaptive boosting (AdaBoost) classifier to achieve ...
IEEE22d
Xinyu Zhang
Base Classes,Base Classifiers,Conditional Variational Autoencoder,Convolutional Neural Network,Few-shot Classification,Few-shot Learning,Generative Adversarial Networks,Graph Attention Network,Hollow ...
Yahoo Finance25d
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. (the "Company" or "MicroAlgo") (NASDAQ: MLGO) announced today the launch of their latest classifier auto-optimization technology based ...
Morningstar25d
MicroAlgo Inc. Develops Classifier Auto-Optimization Technology Based on Variational Quantum Algorithms, Accelerating the Advancement of Quantum Machine Learning
In the training process of classifiers based on variational quantum algorithms (VQA), parameter optimization is one of the most critical steps. Generally, VQA classifiers rely on Parameterized ...
Psychology Today14d
AI Predicts Active Brain Cell Types With High Accuracy
A neuroscience breakthrough has been achieved using AI to identify neuron cell types from the brain activity recordings of mice and monkeys with high accuracy.
TMCnet25d
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. (the "Company" or "MicroAlgo") (NASDAQ: MLGO) announced today the launch of their latest classifier auto-optimization technology based on ...
GitHub27d
Vector Quantized Variational Autoencoder (VQ-VAE)
├── autoencoder.py # Main VQ-VAE model implementation ├── config.yaml # Configuration file for model and training ├── dataset.py # Dataset loader for image data ├── ema.py # Exponential Moving Average ...