MiniMax-M1 presents a flexible option for organizations looking to experiment with or scale up advanced AI capabilities while managing costs.

In the world of machine learning and artificial intelligence, clean data is everything. Even a small number of mislabeled ...

Over the last 10 years, breakthroughs in understanding the genetic instructions passed from parent to offspring have put ...

In an era of tightening privacy regulations and decaying legacy tracking methods, businesses that prioritize data that ...

We examine the labor market effects of AI chatbots using two large-scale adoption surveys (late 2023 and 2024) covering 11 exposed occupations (25,000 workers, 7,000 workplaces), linked to matched ...

This is the accompanying code for the paper, "Multi-Domain Translation between Single-Cell Imaging and Sequencing Data using Autoencoders" (bioRxiv) ...

Researchers have developed an AI system capable of predicting whether and why proteins form sticky clumps, a process ...

This approach integrates fuzzy theory with autoencoder models to effectively manage noise and outliers in data. The FAE method introduces a feature selection layer that approximates discrete feature ...

Traditional data reconciliation methods rely on an accurate process model, which can lead to incorrect reconciliation results if the model is not accurate enough. This article proposes a deep learning ...

Given the relatively small input dimensions ... It effectively addresses the issue of insufficient anomalous data samples in structural monitoring. In this study, a deep convolutional ...