AI surveillance means utilizing artificial intelligence in video monitoring systems for security purposes. It means employing deep learning algorithms to process live and recorded videos continuously so as to derive useful insights without necessarily requiring a human analysis.
AI can recognize occurrences, conducts, things, configurations, deviations, visages, number plates, and audios, among other things. As a result of this real-time alerting capability, footage can be searched instantly, crowd analytics facilitated, and even automatic reporting made, among other smart enhancements. In fact, these AI surveillance platforms convert video data into ‘knowledge’ to enhance physical security.
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Google Quantum AI is pioneering advanced quantum computing solutions with breakthroughs like the Willow chip and the verifiable quantum advantage demonstrated by the Quantum Echoes algorithm, paving the way for error-corrected, large-scale quantum computers capable of solving complex problems in optimization, simulation, and AI far beyond classical limits.
Preparing for Post-Quantum Cryptography
While functional large-scale quantum computers are still on the horizon, organizations are taking steps to prepare for their arrival. This involves a shift to post-quantum cryptography (PQC), a new set of algorithms resistant to attacks by these powerful machines. The transition process requires careful planning, including identifying critical data and systems, understanding PQC options, and testing them thoroughly before integration. By initiating these steps now, organizations can ensure a smooth transition to PQC and safeguard sensitive information in the quantum age.
NIST's Quantum Resistant Encryption Standards
The National Institute of Standards and Technology (NIST) is working to prepare for a future with powerful quantum computers that could break current encryption methods. To address this, NIST has been developing and evaluating quantum-resistant encryption standards. These new standards rely on complex mathematical problems that are difficult for both traditional and quantum computers to solve. In July 2022, NIST announced the first batch of these standards, including algorithms for both public key encryption and digital signatures. This is an ongoing process, with more standards expected to be added in the future.