Core Insights - ZenaTech, Inc. has announced positive results from initial testing of its Quantum Computing Sky Traffic project, demonstrating high accuracy in weather predictions using AI algorithms and quantum computing [1][2][3] - The company is expanding its internal team to include more quantum, AI, and hardware engineers, focusing on recruiting from international physics facilities [2][3] - The Sky Traffic project aims to enhance weather forecasting and has applications in traffic management, wildfire management, and defense, utilizing large datasets and advanced computing platforms [4][5] Company Overview - ZenaTech specializes in AI drones, Drone as a Service (DaaS), enterprise SaaS, and Quantum Computing solutions, targeting mission-critical business applications [9][10] - The company has been operational since 2017, leveraging software development expertise to innovate in drone design and manufacturing, with applications across various sectors including law enforcement, health, government, agriculture, defense, and logistics [9][11] - ZenaTech operates through seven global offices and is developing a DaaS business model alongside a global partner network [10] Technology and Applications - The Sky Traffic project utilizes AI drones to collect real-time atmospheric data, which is then analyzed by quantum computers to improve weather predictions and forecast extreme events [5][6] - The integration of AI and quantum computing enhances the capabilities of defense drones, allowing for faster data processing and improved mission accuracy [6][7] - The ZenaDrone 1000 is a multifunction autonomous drone designed for various applications, including industrial and defense use, with capabilities for heavy lifting and advanced data processing [8][11]
ZenaTech’s Quantum Computing “Sky Traffic” Project Demonstrates High Accuracy in Initial Testing Leading to Expansion of Team and AI Drone Applications for Commercial and Defense