Paris – From "intelligent" vacuum cleaners and driverless cars to advanced techniques for diagnosing diseases, artificial intelligence has burrowed its way into every arena of modern life. Its promoters reckon it is revolutionizing human experience, but critics stress that the technology risks putting machines in charge of life-changing decisions. Regulators in Europe and North America are worried. This could be due to a conflict with your ad-blocking or security software. Please add japantimes.co.jp and piano.io to your list of allowed sites.

As the world tries to grapple with the implications of 5G, researchers from China have already started looking into 6G. University, China, and others investigated the challenges of embracing 6G as the world moves towards ML heavy solutions. Their main objective is to find out how to make ML more feasible in a high-speed wireless environment. Federated learning, stated the authors, is an emerging distributed AI approach with privacy preservation nature is particularly attractive for various wireless applications, especially to achieve ubiquitous AI in 6G. Traditional Machine Learning techniques rely on a central server and are prone to critical security challenges, e.g., a single point of failure.