AIHUB

 Artificial Intelligence (AI) has made tremendous progress over the past decades, from rule-based systems to powerful machine learning systems. Along the way, Knowledge-Based Systems have led the way in embedding human knowledge into computer systems. Knowledge-based Systems try to mimic the decision-making powers of human experts, providing solutions across different fields, from healthcare to finance. Understanding Knowledge-Based Systems A knowledge-based system is a computer application that uses a knowledge-based regarding a particular subject to address complex problems. Unlike conventional programs that use a sequence of instructions, knowledge-based systems use a knowledge base and an inference engine to mimic human thought processes. Knowledge Base : It contains the domain-specific facts, rules, and heuristics. Inference Engine: Uses logical rules on the knowledge base to derive new information or make decisions. The structure enables a knowledge-bas...

 Artificial Intelligence (AI) has developed rapidly from basic automation tools to highly advanced systems that can learn and make decisions. Leading these advancements are AI Agents, which are independent entities that can learn from their environment, decide, and act upon those decisions to accomplish certain goals. As such,h agents become more deeply embedded across different industries, it is necessary to know their capabilities, uses, and implications. AI agents are a great step ahead of how computers interact with the world. Not only are they programmed to follow instructions, but they also observe, learn, change, and act independently in a way that simulates human choice. Whether it’s a virtual assistant answering your questions, a warehouse robot moving through floors, or a virtual teacher teaching lessons for students, AI agents are the 21st century’s invisible workforce. What is so interesting about AI agents is their capacity to execute tasks independently towards ce...