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AI Basics Explained
- 2. TOPICS: What is AI? Why AI is important? Types of AI Applications of AI The Future of AI
- 4. AI
- 10. WHY IS AI IMPORTANT? AI is important because it can help us to: • Improve efficiency and productivity • Make better decisions • Solve complex problems • Create new products and services • Automate tasks • Improve healthcare • Protect the environment
- 11. APPLICATIONS OF AI AI is being used in a wide variety of applications, including: • Self-driving cars • Virtual assistants • Medical diagnosis • Fraud detection • Cybersecurity • Financial trading • Customer service • Manufacturing
- 12. FUTURE OF AI • AI is being used in a wide variety of applications, including: • AI is a rapidly evolving field, and it is difficult to say exactly what the future holds. • However, AI will continue to play an increasingly important role in our lives. • AI has the potential to revolutionize many industries, and it is likely to have a profound
Editor's Notes
- (AI) refers to the simulation or approximation of human intelligence in machines. The goals of artificial intelligence include computer-enhanced learning, reasoning, and perception. AI is being used today across different industries from finance to healthcare. AI is the ability of a machine to simulate human intelligence. AI can learn, reason, and solve problems. AI can be used to automate tasks, make decisions, and create new products and services.
- (AI) refers to the simulation or approximation of human intelligence in machines. The goals of artificial intelligence include computer-enhanced learning, reasoning, and perception. AI is being used today across different industries from finance to healthcare.
- Machine Learning – sample excel addition thru formula, bard… data tracking and personalized content delivery
- What are Artificial Neural Networks? Artificial Neural Network (ANN) models were inspired by the biological sciences which study how the neuroanatomy of living animals have developed in solving problems. According to Nelson and Illingworth [1990], ANNs are also called: Parallel distributed processing models Connectivist/connectionism models Adaptive systems Self-organizing systems Neurocomputing Neuromorphic systems
- ROBOTICS https://www.youtube.com/watch?v=ClgPEc_W10U&t=260s https://www.youtube.com/watch?v=WFc1J1rANN0 There are many different types of AI, including: Machine learning Natural language processing Computer vision Robotics Expert systems
- Self-driving cars: AI algorithms enable autonomous navigation, revolutionizing transportation and enhancing safety. Virtual assistants: AI-powered virtual assistants like Siri and Alexa provide personalized assistance, scheduling tasks, answering questions, and controlling smart devices. Medical diagnosis: AI algorithms analyze medical images and patient data to assist doctors in diagnosis, treatment planning, and risk assessment. Fraud detection: AI identifies patterns in financial transactions to detect fraudulent activities and protect businesses and individuals. Cybersecurity: AI algorithms monitor network traffic and identify suspicious behavior to protect systems from cyberattacks. Financial trading: AI-driven trading algorithms analyze market data and execute trades, aiming to optimize investment returns. Customer service: AI-powered chatbots provide 24/7 customer support, answering questions, resolving issues, and enhancing customer satisfaction.
- Industry Revolutionization: AI is poised to transform various industries, from healthcare and transportation to finance and manufacturing. Societal Impact: AI has the potential to address global challenges, such as climate change and poverty, and improve the quality of life. Ethical Considerations: The development and use of AI must adhere to ethical principles to ensure fairness, privacy, and responsible AI practices. Human-AI Collaboration: AI should complement and enhance human capabilities, fostering collaboration and creating a symbiotic relationship between humans and machines. AI is a powerful tool that can be used to improve our lives. However, it is important to use AI responsibly and ethically. We need to ensure that AI is used for the benefit of all, and that it does not exacerbate inequality or discrimination.