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Abu Dhabi, United Arab Emirates - ( BUSINESS WIRE ) - The Technology Innovation Institute (TII), the applied research pillar of the Advanced Technology Research Council (ATRC), announced today that its Quantum Research Center (QRC) has developed the first simulation version of 'Qibo', a versatile open- Source-Quantum computer programming framework in collaboration with researchers from around the world. The development follows a series of quick announcements at TII since the first ATRC board meeting in August 2020. TII strives to innovate for a better world. Developing an open source programming framework will have compelling benefits for the global research community. Qibo supports quantum algorithms on a variety of computer systems, including support for hardware accelerators such as graphics processors (GPUs) and multiple quantum devices. This versatility makes Qibo easy to use for quantum programming and speeds research and applications. Qibo was

Edge computing will grow in importance as connected devices penetrate the market. The Institute of Electrical and Electronics Engineers listed artificial intelligence at the edge as one of its top technology trends, saying: "Ubiquitous connectivity like 5G and intelligent sensors like the Internet of Things (IoT), ML applications will quickly move to the" edge " move. '"Edge computing will play a critical role in connecting IoT devices such as self-driving cars, industrial wearables and other autonomous robots and drones. Especially for self-driving vehicles, edge computing is essential for processing sensory data due to the almost instantaneous processing times, since no connection to the centralized database is required. Therefore, the next generation of technology and data analysis relies on the introduction and improvement of edge computing. In addition, by implementing certain machine learning tactics, edge computing seeks to strengthen data protect

Edge computing will grow in importance as connected devices penetrate the market. The Institute of Electrical and Electronics Engineers listed artificial intelligence at the edge as one of its top technology trends, saying: "Ubiquitous connectivity like 5G and intelligent sensors like the Internet of Things (IoT), ML applications will quickly move to the" edge " move. '"Edge computing will play a critical role in connecting IoT devices such as self-driving cars, industrial wearables and other autonomous robots and drones. Especially for self-driving vehicles, edge computing is essential for processing sensory data due to the almost instantaneous processing times, since no connection to the centralized database is required. Therefore, the next generation of technology and data analysis relies on the introduction and improvement of edge computing. In addition, by implementing certain machine learning tactics, edge computing seeks to strengthen data protect