The research aim is to develop an intelligent agent for cybersecurity systems capable of detecting abnormal user behavior ...

Awurum, N.P. (2025) Next-Generation Cyber Defense: AI-Powered Predictive Analytics for National Security and Threat Resilience. Open Access Library Journal, 12, 1-17. doi: 10.4236/oalib.1114210 .

Researchers successfully developed a machine learning-based method for predicting symptom deterioration in patients with cancer.

Researcher Venkata Sri Manoj Bonam advances AI-based fraud detection systems that blend machine learning accuracy with ...

The researchers discovered that this separation proves remarkably clean. In a preprint paper released in late October, they ...

This year has been the culmination of everything SZA’s been working towards. Now she just has to process it. GQ’s Frazier Tharpe visited her at the studio where she’s been holed up to talk about her ...

Yoshua Bengio talks about his efforts to identify — and address — the risks posed by AI.

IOP Publishing’s Machine Learning series is the world’s first open-access journal series dedicated to the application and ...

Monoclonal antibody (mAb) manufacturing must continually improve to keep up with increasing demands. To do this, biomanufacturers can deploy machine learning tools to augment traditional process ...

Osaka Metropolitan University researchers developed a technique to improve machine learning reliability and estimation results of gravitational wave parameters.

These questions come from my Udemy training and the certificationexams.pro website, resources that have helped many students pass the DP-100 certification. These are not DP-100 exam dumps or ...

Artificial intelligence (AI) systems, particularly artificial neural networks, have proved to be highly promising tools for ...