Eschew Your Quest for Cybersecurity Perfection with Worst-Case AI Safety Worst-case AI safety, closely related to the concept of failsafe AI, is used to reduce “s-risks” or human suffering-related risks. Such risks can very well be related to cybersecurity too.

AI keeps getting more and more intelligent by the day. Machine learning is developing to the point of making Artificial General Intelligence (AGI) human-like—the point at which AI will be…

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Digital Couture: The New and Amazing Future of Fashion? Digital couture or digital clothing is the latest trend in fashion, which is set to become the future of the fashion industry in no time with its unique and futuristic concepts and designs.

The digital age is rapidly narrowing the gap between reality and fantasy. This imaginative phase of the digital world has led companies like Fabricant (the world’s first digital couture house)…

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How Machine Learning Neutralizes the Devastating Threat of Credit Card Fraud Using traditional methods to detect instances of credit card fraud slows down the process of resolving such issues. The application of machine learning in banking promises to find quicker and accurate solutions for all kinds of financial institutions.

The advent of digitization in banking has introduced several cybersecurity-related issues in such finance-based organizations. For example, reported financial fraud had increased by 104% in the first quarter of 2020,…

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Leveraging AI To Optimize Interior Design And Decor For Homes The application of AI in interior design and décor allows engineers and interior decorators to choose from a wide range of machine learning-generated ideas to enhance the ergonomics and aesthetics of home interiors.

Today, AI has permeated the operations and fields that were once considered to be out of its domain. For example, although it makes sense for engineers and architects to use…

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Smart Pills: The Next Frontier Of IoT-Enhanced Medical Care Smart pills will improve the quality of diagnostics and treatment for patients. At the same time, certain issues need to be sorted before such IoT-based medicines can be adopted extensively in healthcare.

Despite the vast progress made in healthcare already, there will always be room for further improvement. For instance, the speed and accuracy of diagnosis can be boosted for certain ailments…

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