Innovative Insights in Computing and Education

  Agentic AI Education: Making Learning an Intelligent and Adaptive Process   Introduction   The rapid advancement of the artificial intelligence is altering the education environment of higher education, the engineering field included. The classical B.Tech degrees that have been dominated by technical rigor, problem solving and innovation are in the paradigm shift with the introduction of Agentic AI. In contrast to traditional AI systems, which assist learners in an inactive manner, Agentic AI establishes self-directed, purposeful and responsive environments of learning. These intelligent systems are dynamic beings with the abilities of understanding the needs of students, planning individual learning courses, and performing the activities that will enhance their academic successes and skills.   Regarding B.Tech education, Agentic AI does not just represent a side effect, but rather a disruptive technology that will change the way in which students learn...

  Indian Agriculture: Reinventing Agriculture disease identification and crop health management: Agentic AI of Agriculture   Introduction The economy of India relies on agriculture since it enhances millions of farmers and also occupies a large portion of the GDP of the nation. Crop diseases, however, have been one of the most dreadful problems in regard to productivity, food security, and the earnings of the farmers. The traditional methods of detecting diseases use manual inspection which is extremely slow, subjective and inaccurate. Developed as a subset of artificial intelligence, more specifically, Agentic AI, a new paradigm is currently being proposed, enabling intelligent, autonomous, and proactive agricultural systems that can detect, diagnose, and even treat crop diseases in real-time. The agentic AI is a substitute of the reactive system with the intelligent agents that can perceive the environment conditions, analyze the information, and make a choice and ta...

  Overview of Agentic AI with A Case Study of Amazon Robotics   Overview of Agentic AI An agentic AI represents an extreme transformation of the concept of artificial intelligence to place theoretically passive and tool-like systems into the autonomous and decision-making role, planning and doing things with the least input of a human. Unlike providing passive action because of the established set of pre-defined rules or responds to the stimuli of a user, agentic AI systems are designed with agency in mind. This means that they can perceive the immediate environment, reason their goals, adjust to a changing situation, be proactive in achieving the required outcomes. These systems often integrate different AI paradigms statistical learning, machine learning, natural language processing, and symbolic reasoning in order to become intelligent agents capable of self-interacting and self-improving.   Basic Features of Agentic AI. The main principle of Agentic AI is ...