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AI & Nanotechnology for Smart Materials – Intelligent materials that change properties in real time

The fusion of Artificial Intelligence (AI) and Nanotechnology is revolutionizing material science by creating intelligent materials that can adapt and respond to environmental changes in real time. These smart materials have the potential to transform industries such as healthcare, aerospace,

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April 11, 2025

Side-Channel Attacks in Cryptography – Exploiting physical implementations of cryptographic systems.

In the realm of cybersecurity, cryptography serves as a cornerstone for securing sensitive information. However, the security of cryptographic systems is not solely dependent on the mathematical strength of the algorithms employed. An emerging threat that has gained significant attention

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April 11, 2025

Confidential Computing & Privacy-Preserving AI – Secure enclaves and privacy-focused ML models.

  Confidential Computing & Privacy-Preserving AI – Secure Enclaves and Privacy-Focused ML Models In the digital era, data has become one of the most valuable assets for individuals, businesses, and governments. However, with the increasing reliance on data-driven technologies, concerns

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April 11, 2025

AI-Powered Fraud Detection in Financial Transactions – How ML is detecting financial crimes in real time.

  In an increasingly digital world, financial transactions have become more convenient than ever. However, this convenience comes with a significant downside: the rise of financial crimes, including fraud, money laundering, and identity theft. As financial institutions strive to protect

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April 11, 2025

DNA-Based Data Storage & Computing – Storing petabytes of data in biological molecules.

  In an age where data generation is skyrocketing, the need for efficient and sustainable data storage solutions has never been more pressing. Traditional storage methods, such as hard drives and solid-state drives, face limitations in terms of capacity, longevity,

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April 11, 2025

Edge AI for Real-Time IoT Analytics – Processing AI workloads at the edge for ultra-low latency

Introduction The rapid proliferation of the Internet of Things (IoT) has led to an unprecedented surge in data generation, creating a pressing need for efficient processing techniques capable of handling vast streams of information in real time. With billions of

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April 11, 2025
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