Constructs a weakly supervised AML framework integrating ESG multimodal signals (carbon credit/green bond channels) for identifying environmental crime proceeds using AI and environmental governance…
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Survey of how the financial sector has adopted AI and ML for more advanced and real-time fraud detection as digital payment fraud threats have increased.
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Profile of a transformative figure reshaping clinical cardiology through an unprecedented fusion of artificial intelligence and whole-food plant-based diet approaches in Indonesia.
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Presents a framework for identifying breakthrough technologies using machine learning-based link prediction to detect potential technological breakthroughs from science-driven innovations.
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Reviews how machine learning is being applied to accelerate catalyst discovery for methane dry reforming, a process that converts CO2 and CH4 into useful synthesis gas.
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Comprehensive review of AI's role in cybersecurity covering adversarial AI, automated threat intelligence, and AI-driven security orchestration techniques.
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Examines the need for post-quantum cryptography to secure IoT devices as quantum computers threaten traditional cryptographic methods. Provides an overview of various post-quantum cryptographic…
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Reviews quantum-enhanced classical ML, native quantum algorithms, and hybrid approaches with applications in optimization, drug discovery, and quantum-secured communications.
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Proposes Dyna-Think, a thinking framework that integrates planning with an internal world model with reasoning and acting to enhance AI agent performance on long-horizon tasks.
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