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After developing and implementing AI-powered applications across multiple industries, I firmly believe that AI is not a ...
The study suggests that the absence of explanations undermined trust, prompting human operators to dismiss AI-generated ...
In this business solutions TRiSM helps businesses mitigate risks, enhance brand trust, and secure long-term competitiveness, ...
In the age of artificial intelligence (AI) and big data, the ethical challenges of bias and privacy have never been more ...
XRGuard: A Model-Agnostic Approach to Ransomware Detection Using Dynamic Analysis and Explainable AI
Abstract: Ransomware remains a persistent and evolving cybersecurity threat, demanding advanced and adaptable detection strategies. Traditional methods often fall short as signature-based systems are ...
Artificial Intelligence (AI) has transformed financial security by enabling fraud prevention at an unprecedented scale. However, the ethical challenges surround ...
In this modern world of ubiquitous apps and voice-controlled robots, the future and past collide. The avant-garde processes and programs perfected by technology fuel the rise of artificial ...
In October 2024, Nvidia CEO Jensen Huang, at the AI Summit India in Mumbai, claimed that the headline “Nvidia is AI in India” was more than just a fortuitous combination: it described a deep ...
Abstract: Knowing the basis of decisions is essential for using Machine Learning (ML) in various regions, such as medical diagnosis, finance, and organizational decision-making. The Local ...
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