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Greenerwave, a French deep-tech company specializing in electromagnetic wave control, along with its partners in the 6G Non-Terrestrial Networks (6G-NTN) project, has released a white paper titled “Vision on Non-Terrestrial Networks in 6G Systems (or IMT-2030).” This document outlines the future of connectivity within the 6G ecosystem, highlighting the anticipated development of a new generation of wireless communication technologies expected to begin deployment around 2030.

DZS, a leading developer of Network Edge, Connectivity, and Cloud Software solutions enabling broadband everywhere, has announced the successful completion of its acquisition of NetComm Wireless Pty Ltd. This acquisition marks a significant milestone for DZS, reinforcing its dedication to providing comprehensive connectivity solutions to communications service providers and enterprise customers.

OpenAI has unveiled a deepfake detector specifically designed to identify content generated by its image creator, DALL-E. Initially, this tool will be available to a select group of disinformation researchers for practical testing. In the ever-evolving realm of cybersecurity, technologies like AI-driven deepfake detection, real-time monitoring, and advanced data analytics are reshaping digital security and authenticity. These innovations, often led by startups, are significantly improving the identification of manipulated content, thereby fostering more secure digital environments, according to GlobalData, a prominent data and analytics firm. Vaibhav Gundre, Project Manager for Disruptive Tech at GlobalData, highlighted the growing sophistication of AI-generated deepfakes, which pose substantial risks to individuals, businesses, and society. He noted that advanced detection methods, powered by machine learning, are increasingly effective in identifying and flagging manipulated content. These tools employ techniques such as analyzing biological signals and leveraging powerful algorithms to defend against the misuse of deepfakes for…

AI and Machine Learning (ML) are transforming VoIP, enhancing communication efficiency and cost-effectiveness. This integration offers features like real-time call quality optimization, personalized user experiences, and advanced IVR systems. AI-powered analytics unlock valuable insights and improve security. The future holds seamless IoT connectivity and a redefined way we connect through VoIP.