Schug has written extensively on the role of AI and data science in analytical chemistry in the LCGC Blog. In a recent ...

An international reserch team developed two deep learning-based IDS models to enhance cybersecurity in SCADA systems. The ...

Trace the timeline of CRISPR-Cas9 from its 2012 discovery to the latest AI-driven advancements and "N-of-1" clinical ...

In my Sex, Drugs, and Artificial Intelligence class, I have strived to take a balanced look at various topics, including ...

Tech Soft 3D, the world leader in providing engineering software development toolkits (SDKs), announces the official release of HOOPS AI, the first framework purpose-built to unlock AI and machine ...

An international research team developed a multi-stage intrusion detection system that uses supervised and unsupervised AI techniques to detect and mitigate cyber threats in smart renewable energy ...

Motivation In order to advance in the understanding of neuronal cultures as an alternative for in silico computers that could lead to a new generation of massivelly parallel biological neuroprocessors ...

Quantum machine learning is being explored as the next frontier in cybersecurity, but new research shows it remains far from replacing established artificial intelligence systems in detecting phishing ...

Long-term lithium therapy remains the most effective maintenance treatment for bipolar disorder, yet it poses a significant ...

EnDeep4mC is a deep learning framework for predicting DNA N4-methylcytosine sites through dual-adaptive feature encoding and ensemble learning. This repository contains the complete implementation, ...

Epic is rapidly building out artificial intelligence tools integrated into its electronic health record solution as health IT companies strive to keep up with the dizzying speed of AI innovation. This ...