Can you guess what is this??. How will AI change the world? 5 deep dives into the technology's future : NPR.
If you were thinking of AI, then you are correct..
Today I am going to give presentation about Artificial Intelligence (AI ) At First, let me clear you about AI: Artificial Intelligence (AI) refers to the development of computer systems capable of performing tasks that typically require human intelligence, such as learning from experience, recognizing patterns, and making decisions. For eg: Robotics, Chatgpt, Google assistant, Siri, etc. It was developed by Alan Turing at first in 1950-1956. There are 4 types of AI, they are: Reactive machines. Limited memory machines Theory of mind Self-awareness.
Historical timeline of development of AI: In 1950 Turing published a landmark paper and the best known of his papers 'Computing Machinery and Intelligence', in which he speculated about the possibility of creating machines that think and the paper introduced his concept of what is now known as the Turing test to the general public. Milestone of AI: AI is assisting healthcare professionals with diagnostics, drug discovery, and patient care, improving accuracy and speeding up treatment. Finance: AI algorithms are optimizing financial processes, from fraud detection to investment strategies, making the financial industry more efficient and secure.
Key Components of AI Machine Learning: How computers learn from data. Neural Networks: Mimicking the human brain in problem-solving. Natural Language Processing (NLP): Understanding and processing human language Types of AI Applications Narrow AI: Specific, task-oriented applications. Examples: Virtual Assistants, Image Recognition, Speech Recognition. General AI: Broader capabilities, mimicking human intelligence. Future potential and challenges.
Advantages of AI: Automation and Efficiency Data Analysis and Insights Cost Reduction Improved Decision-Making Personalization Uses of AI in Industries Healthcare: Medical Imaging, Drug Discovery, Predictive Analytics. Finance: Fraud Detection, Algorithmic Trading. E-commerce: Personalization, Chatbots. Education: Adaptive Learning, Grading Automation. Manufacturing: Predictive Maintenance, Quality Control..
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