Cyber Security: अब WiFi Router करेगा आपकी जासूसी? Germany में चौंकाने वाली Research | AI Technology

Scientists in Germany have revealed a shocking new AI-powered technology that can identify people using ordinary WiFi signals—even when their phones are turned off. By analyzing how radio waves bounce around a room, researchers can recognize individuals with nearly 100% accuracy using normal WiFi routers already found in homes, cafés, airports, and offices. Could WiFi become the world’s biggest invisible surveillance system? In this video, we explain how this futuristic technology works, why experts are worried, and how AI may completely change the future of privacy and security. #artificialintelligence #ai #wifi #cybersecurity #germany Kadak is an evidence-first fact-checked data led digital video magazine delivering sharp micro explainers, mini-documentaries, and on-ground reports on current affairs, geo politics, cinema, podcast, cricket, financial literacy, share market updates etc that shaping India and world today. Built for the Gen Z and millennial audience, we focus on credible analysis, and contextual storytelling without sensationalism, fake debates, or clickbait drama. Kadak helps you understand what matters and why it matters. n18oc_kadak #KADAK Connect us: https://www.jiotv.com/live-channel/kadak/3502/kadak/2603053502013 Website: https://hindi.news18.com/videos/kadak/ Facebook:http://bit.ly/2lRMjaY X: https://x.com/itskadak Copyright Disclaimer: - Under section 107 of the copyright Act 1976, allowance is mad for FAIR USE for purpose such a as criticism, comment, news reporting, teaching, scholarship and research. Fair use is a use permitted by copyright statues that might otherwise be infringing. Non- Profit, educational or personal use tips the balance in favor of FAIR USE. Fair Use Notice: The content used in this video is intended for educational and informational purposes only additionally advance understanding of environmental, political, human rights, economic, democracy, scientific, and social justice issues, etc. All rights to the images, music, clips, and other materials used belong to their respective owners. We do not claim ownership over any third-party content used. We believe this constitutes a ‘fair use’ of any such copyrighted material as provided for in section 107 of the US Copyright Law.