Artificial intelligence (AI) is one of the core drivers of industrial development and a critical factor in promoting the integration of emerging technologies, such as graphic processing unit, Internet of Things, cloud computing, and the blockchain, in the new generation of big data and Industry 4.0. In this paper, we construct an extensive survey over the period 1961–2018 of AI and deep learning. The research provides a valuable reference for researchers and practitioners through the multi-angle systematic analysis of AI, from underlying mechanisms to practical applications, from fundamental algorithms to industrial achievements, from current status to future trends. Although there exist many issues toward AI, it is undoubtful that AI has become an innovative and revolutionary assistant in a wide range of applications and fields.

As an emerging technology, the Internet of Things (IoT) revolutionized the global network comprising of people, smart devices, intelligent objects, information, and data. The development of IoT is still in its infancy and many directly related issues need to be solved. IoT is a unified concept of embedding everything. IoT has a great chance to make the world a higher level of accessibility, integrity, availability, scalability, confidentiality, and interoperability. But, how to protect IoT is a challenging task. System security is the foundation for the development of IoT. This article systematically reviews IoT cybersecurity. The key factors of the paradigm are the protection and integration of heterogeneous smart devices and information communication technologies (ICT). Our review applies to people interested in cybersecurity of IoT, such as the current research of IoT cybersecurity, IoT cybersecurity architecture and taxonomy, key enabling countermeasures and strategies, major applications in industries, research trends and challenges.

In recent years, the Internet of Things (IoT) has made great progress. The interconnection between IoT and the Internet enables real-time information processing and transaction implementation through heterogeneous intelligent devices. But the security, the privacy, and the reliability of IoT are key challenges that limit its development. The features of blockchain, such as decentralization, consensus mechanism, data encryption, and smart contracts, are suitable for building distributed IoT systems to prevent potential attacks and to reduce transaction costs. As a decentralized and transparent database platform, blockchain has the potential to raise the performance of IoT security to a higher level. This paper systematically analyzes state-of-the-art of IoT security based on blockchain, paying special attention to the security features, issues, technologies, approaches, and related scenarios in blockchain-embedded IoT. The integration and interoperation of blockchain and IoT is an important and foreseeable development in computational communication system.

The blockchain represents emerging technologies and future trends. For the traditional social organization and mode of operation, the development of the blockchain is a revolution. As a decentralized infrastructure and distributed general ledger agreement, the blockchain presents us with a great opportunity to establish data security and trust for automation and intelligence development in the Internet of Things (IoT) and it creates a new un-centralized programmable smart ecosystem. Our research synthesizes and analyses extant articles that focus on blockchain-related perspectives which will potentially play an important role in sustainable development in the world. Blockchain applications and future directions always attract more attention. Blockchain technology provides strong scalability and interoperability between the intelligent and the physical worlds.

Future financing has the potential to evolve into a forward-looking and ingenious system that can enrich diverse technologies. This investigation focuses on five attractive emerging technologies tied to the finance, namely artificial intelligence (AI), machine learning, blockchain, augmented reality (AR)/virtual reality (VR), and quantum mechanics. Within the financial milieu, there is an ongoing pursuit for more precise, optimized, secure, and agile solutions capable of managing multifarious financial undertakings. Emerging technologies present remarkable modalities for achieving these objectives. This scholarly exposition expounds upon the creation of emerging technologies within the financial world, while concurrently deliberating upon the prospective applications of these technologies within financial systems. Given the nascent stage of development that characterizes these emerging technologies, the advancement of financial performance emerges as a substantial challenge owing to both technological and operational advantages. Technology-oriented financing has emerged as an essential trajectory for shaping the future of finance.