IEEE

Quantifying Uncertainty in Gas-Bearing Prediction Using Multicomponent Seismic Data Derived From a Parallel Linked Bayesian Neural Network

Abstract: Longitudinal and converted shear wave seismic data depict unique and abundant seismic response characteristics of gas reservoirs and help to elucidate the multicomponent seismic attributes ...

With Evo 2, AI can model and design the genetic code for all domains of life

The DNA foundation model Evo 2 has been published in the journal Nature. Trained on the DNA of over 100,000 species across ...

How a Brute Force Attack Unmasked a Ransomware Infrastructure Network

A routine RDP brute-force alert led to unusual credential hunting and a geo-distributed VPN-linked infrastructure. Huntress Labs explains how one compromised login unraveled a suspected ...
IEEE

The Causal Inference of Bayesian Network Based on Improved IDA Algorithm

Abstract: At present, the IDA algorithm is a commonly used method for estimating causal effects between variables from observational data. In the IDA algorithm, the PC algorithm is first used to ...