... Building on this premise, this paper presents a framework for identifying breakthrough … potential to trigger technological breakthroughs. Next, a machine learning-based link prediction …
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... The advent of large language models (LLMs) has marked a new … LLM usage. We further present the challenges associated with data bias, privacy, and the integration of these models …
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... in adversarial AI, automated threat intelligence, and AI-driven security orchestration, this … AI's role in cybersecurity. Figure 1 shows the key areas where Artificial intelligence (AI) and …
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Cluster Computing - With the emergence of quantum computers, traditional cryptographic methods are vulnerable to attacks, emphasizing the need for post-quantum cryptography to secure devices and...
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... in quantum-enhanced classical ML to native quantum algorithms and hybrid quantum-… It varies from applications in optimization, drug discovery, and quantum-secured communications, …
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