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Disruptive Financial Innovation and Big Data Implications in Digital Finance
Published in Mohammed El Amine Abdelli, Wissem Ajili-Ben Youssef, Uğur Özgöker, Imen Ben Slimene, Big Data for Entrepreneurship and Sustainable Development, 2021
Disruptive innovation and technological convergence processes gain importance in the spread of technology. Sustainable innovation, which is the opposite of disruptive innovation, is innovation that does not cause the existing market to disappear. Technological convergence refers to the tendency of different technological systems to evolve to fulfill similar tasks. Digital convergence is an example of technological convergence. One of the leading theories about the diffusion of innovation in the society is Rogers’s [36] “Diffusion of Innovations” theory. Technologies of the near future are mainly technologies for communication between the human brain and the computer. The main technologies that are expected to become prominent and widespread after 2020 are as follows:Brain-computer interface,Electroencephalography,Brain-reading technique,Artificial brain or mind,5G (fifth-generation mobile network),Exa-scale computing.
Blockchain in Healthcare Sector
Published in Sandeep Kumar Panda, Ahmed A. Elngar, Valentina Emilia Balas, Mohammed Kayed, Bitcoin and Blockchain, 2020
In 2017, a company named Neurogress located in Geneva confirms using BCT. This company aims to build systems based on neural control, which gives access for users to control drones, Virtual Reality (VR)/Augmented Reality (AR), smart applications, and even robotic arms only with the users own thought waves and brain signals. The control systems of the Neurogress need brain data more than 90% for training AI systems based on machine learning algorithms for improving the accuracy of brain reading technique. The company released a white paper demanding a neural activity of the user as big data by citing Human Brain Project. The project demands exabytes of memory (1 billion gigabytes = 1 exabyte) because the samples used need such capacity to store data. Thus, the company Neurogress prefers the BCT to handle such big data, along with privacy and security, and handle the storage capacity problem effectively. So the data that is been recorded on the decentralized blockchain is resistant to attacks such as hacking and thus become more private and secure. The blockchain usage can also make the system of Neurogress, transparent and open to the users who use the platform services of Neurogress, but the system has the capacity to easily rack any such abnormal activities that would occur in the system ensuring user data confidentiality and security.
Intelligence in cyberspace: the road to cyber singularity
Published in Journal of Experimental & Theoretical Artificial Intelligence, 2021
Ishaani Priyadarshini, Chase Cotton
(Ushir & Kadam, 2018) introduced the impact of technological singularity in human life based on some experiments that have been conducted in the past. The article defines particular cases of Facebook chatbots interacting with each other using their language, software capable of achieving citizenship capable of observing people and taking pictures, brain reading artificial intelligence systems that use Functional Magnetic Resonance Imaging (fMRI) scans and machines that are capable of human emotions and are good at recognising humans. While the systems display a good level of intelligence, the authors state that it might be possible to increase this level of intelligence to attain ‘superintelligence’ leading to the technological singularity. The impact of singularity may be seen in political systems, human culture, and economics. The idea is to spread awareness before human life is impacted or negatively controlled by machines.