Abstract
Artificial intelligence (AI) and robotics have gone through three generations of development, from Turing test, logic theory machine, to expert system and self-driving car. In the third-generation today, AI and robotics have collaboratively been used in many areas in our society, including industry, business, manufacture, research, and education. There are many challenging problems in developing AI and robotics applications. We launch this new Journal of Artificial Intelligence and Technology to facilitate the exchange of the latest research and practice in AI and technologies. In this inaugural issue, we first introduce a few key technologies and platforms supporting the third-generation AI and robotics application development based on stacks of technologies and platforms. We present examples of such development environments created by both industry and academia. We also selected eight papers in the related areas to celebrate the foundation of this journal.
Highlights
Artificial intelligence (AI) and robotics research and application started in the 1950s
AI and robotics are based on the following key technologies: big data-based intelligence, centralization and distribution optimization, neural networks and deep learning, from data collection to decision making in real time, hardware–software codefine, cognitive, natural language processing (NLP), human-machine interaction, and virtual and reality integration
We will briefly present our research based on the AI and robotics development environment Visual IoT/Robotics Programming Language Environment (VIPLE) and Amazon Web Services (AWS) environment
Summary
Artificial intelligence (AI) and robotics research and application started in the 1950s. AI was more in research while robotics was in manufacture In the latter half of this generation, interest in AI began to dwindle due to factors such as insufficient computing power despite continual increases, insufficient data storage space and speed, and the resulting decrease in funding. Significant increases in processing and storage speed as compared to the previous generations of AI enable a new generation of both AI and robotics research and development In this generation, AI and robotics are based on the following key technologies: big data-based intelligence, centralization and distribution optimization, neural networks and deep learning, from data collection to decision making in real time, hardware–software codefine, cognitive, natural language processing (NLP), human-machine interaction, and virtual and reality integration. Except the domains related to electronics, mechanics, and materials, are applicable in AI
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