This is a sponsored article brought to you by MBZUAI. If you’ve ever tried to guess how a cell will change shape after a drug ...

Data readiness assessment is an important preparatory analysis that often complements discovery but it is narrower in scope. It evaluates data quality, availability, and governance, while the ...

The key challenge in credit card fraud detection lies in the imbalance between legitimate and fraudulent transactions. Fraud ...

When Microsoft researchers in 2023 identified a new kind of material that could dramatically reduce the amount of lithium ...

ABSTRACT: Accurate measurement of time-varying systematic risk exposures is essential for robust financial risk management. Conventional asset pricing models, such as the Fama-French three-factor ...

├── data_pre/ # Data preprocessing modules │ ├── data_pre.py # Data preprocessing script │ └── dataset.py # Dataset class definition ├── dataset/ # Data directory │ ├── SRU_data.npy # Process data in ...

Abstract: In this paper we present a new implementation of a Variational Autoencoder (VAE) for the calibration of sensors. We propose that the VAE can be used to calibrate sensor data by training the ...

Abstract: Variational Autoencoder(VAE) combines the ideas of autoencoders and variational inference, introducing the concept of latent space and variational inference to endow autoencoders to generate ...

Researchers at the New Jersey Institute of Technology (NJIT) are using artificial intelligence to address a major challenge in the future of energy storage: finding low-cost, environmentally friendly ...

Researchers from New Jersey Institute of Technology (NJIT) have used artificial intelligence to tackle a critical problem facing the future of energy storage: finding affordable, sustainable ...

Peer ReviewDownload a summary of the editorial decision process including editorial decision letters, reviewer comments and author responses to feedback. Chemical and genetic perturbations, such as ...