Autonomous Security Agents And The Future Of IT/OT Convergence

The stakes of getting the design of autonomous security agents wrong are highest at the intersection of IT and operational ...
The Lancet

Causal deep learning for real-time detection of cardiac surgery-associated acute kidney injury: derivation and validation in seven time-series cohorts

aMedical Big Data Research Center, Chinese The People’s Liberation Army General Hospital, Beijing, China bNational Engineering Research Center of Medical Big Data Application Technology, The People’s ...

WitFoo Releases Largest Structured Open-Source Cybersecurity Dataset

Million Records Built from Live Attack Traffic Released to Advance Cybersecurity Research at the University of ...
Devdiscourse

High-accuracy AI models improve IoT threat detection

The results show that the Decision Tree model emerged as the top-performing algorithm, achieving an accuracy rate of 99.36 percent. Random Forest followed closely with 99.27 percent accuracy, while ...
Que.com on MSN

AI in cybersecurity: Key benefits, risks and solutions

In today’s digital landscape, cyber threats are evolving at an unprecedented pace. Traditional security measures struggle to ...
IEEE

Applying Machine Learning Combined with Dimensionality Reduction to Enhance Intrusion Detection Systems

Abstract: An intrusion detection system (IDS) is a system designed to detect potential intrusion activities, such as malicious activities, computer attacks, or the spread of viruses, and then inform ...
Que.com on MSN

Robots-only battle brigade achieves historic first victory on battlefield

Historic Milestone: Autonomous Robots Secure First Combat Victory The notion of machines fighting alongside — or instead of — human ...
Becker's Hospital Review

Health systems using Epic begin sharing data with Social Security Administration

Health systems using Epic are the first in the U.S. to begin sharing patient records with the Social Security Administration through a new federal interoperability framework. The connection is enabled ...
IEEE

AI Powered Network Intrusion Detection System Using Machine Learning

Abstract: This study presents a machine-learning-based Network Intrusion Detection System (NIDS) designed to overcome the limitations of traditional signature-based IDS, such as low accuracy and poor ...