Artificial intelligence (AI) and machine learning (ML) are predicted to have a significant impact on future industrial ...
The cybersecurity landscape in 2026 presents unprecedented challenges for organizations across all industries. With ...
That’s the aim of predictive cyber resilience (PCR)—an emerging approach to security built on intelligence, automation and ...
Artificial Intelligence, Cybersecurity, Vulnerability, Attacks, Machine Learning Share and Cite: Tsahat, C. and , N. (2026) ...
“Cyber adversaries are now using AI to automate every step of the attack chain,” said Dr. Allen Badeau, Chief AI Officer of ...
From PSIM’s rise and fall to the emergence of integration alliances, connected intelligence, and agentic AI, the physical ...
1 College of Mathematics and Computer Science, Chifeng University, Chifeng, China 2 General Surgery Thoracic Surgery, Chifeng Songshan Hospital, Chifeng, China Introduction: Breast cancer stands is a ...
What if technology could bridge the gap between spoken language and sign language, empowering millions of people to communicate more seamlessly? With advancements in deep learning, this vision is no ...
The risk of fires in both indoor and outdoor scenarios is constantly rising around the world. The primary goal of a fire detection system is to minimize financial losses and human casualties by ...
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