an brief knowlegde of Artificial Intelligence.pptx

Artificial intelligence (AI) is a set of technologies that use algorithms, data, and computational power to simulate human intelligence. The goal of AI is to allow machines or software to perform tasks that typically require human intelligence, such as learning, reasoning, problem-solving, perception, and language understanding.

1. AI A rtificial intelligence

2. How does AI work Why is A.I important T ypes of A.I T he applications of AI 2 3 4 5 Contents Contents H istory of AI 6 Introducation 1

3. PART ONE Artificial intelligence is the simulation of human intelligence processes by machines, especially computer systems. Specific applications of AI include expert systems, natural language processing, speech recognition and machine vision. Introducation 01

4. How does AI work AI requires a foundation of specialized hardware and software for writing and training machine learning algorithms. No single programming language is synonymous with AI, but Python, R, Java, C++ and Julia have features popular with AI developers.

5. This aspect of AI programming focuses on choosing the right algorithm to reach a desired outcome. Reasoning This aspect of AI programming focuses on acquiring data and creating rules for how to turn it into actionable information Learning This aspect of AI uses neural networks, rules-based systems, statistical methods and other AI techniques to generate new images, new text, new music and new ideas. Creativity AI programming focuses on cognitive skills that include the following

6. PART TWO AI is important for its potential to change how we live, work and play. It has been effectively used in business to automate tasks done by humans, including customer service work, lead generation, fraud detection and quality control. Why is artificial intelligence important? 02

7. Saves labor and increases productivity Reduced time for data-heavy tasks Good at detail-oriented jobs Delivers consistent results Can improve customer satisfaction through personalization AI-powered virtual agents are always available The Advantages of A.I.

8. 1 2 3 4 5 6 Expensive. Limited supply of qualified workers to build AI tools Lack of ability to generalize from one task to another Requires deep technical expertise Eliminates human jobs, increasing unemployment rates Disadvantages of AI Reflects the biases of its training data, at scale

9. PART THREE Arend Hintze, an assistant professor of integrative biology and computer science and engineering at Michigan State University, explained that AI can be categorized into four types . What are the 4 types of artificial intelligence 03

10. When applied to AI, it means the system would have the social intelligence to understand emotions. Theory of mind AI systems have a sense of self, which gives them consciousness . This type of AI does not yet exist Self-awareness These AI systems have no memory and are task-specific Reactive machines These AI systems have memory, so they can use past experiences to inform future decisions. Some of the decision-making functions in self-driving cars are designed this way. Limited memory The categories are as follows

11. What are examples of AI technology and how is it used today?

12. Unsupervised learning. Supervised learnin g Reinforcement learning Data sets aren't labeled and are sorted according to similarities or differences. Data sets aren't labeled but, after performing an action or several actions, the AI system is given feedback Data sets are labeled so that patterns can be detected and used to label new data sets. Machine learning This is the science of getting a computer to act without programming. Deep learning is a subset of machine learning that, in very simple terms, can be thought of as the automation of predictive analytics

13. Machine vision captures and analyzes visual information using a c amera, analog-to-digital conversion and digital signal processing Machine vision This is the processing of human language by a computer program . NLP tasks include text translation, sentiment analysis and speech recognition. Natural language processing (NLP) Autonomous vehicles use a combination of computer vision, image recognition and deep learning to build automated skills to pilot a vehicle while staying in a given lane and avoiding unexpected obstructions , such as pedestrians Self-driving cars Robots are often used to perform tasks that are difficult for humans to perform or perform consistently. Robotics Machine learning

14. PART FOUR Artificial intelligence has made its way into a wide variety of markets . Here are some example What are the applications of AI? 04

15. AI in heal t h - care AI in busi - ness AI in educa - tion AI in law Secur - ity 1 2 3 4 5 Companies are applying machine learning to make better and faster medical diagnoses than humans Machine learning algorithms are being integrated into analytics and customer relationship management (CRM) platforms to uncover information on how to better serve customers. ChatGPT AI can automate grading, giving educators more time for other tasks. It can assess students and adapt to their needs, helping them work at their own pace . ChatGPT, Google Bard The discovery process -- sifting through documents - - in law is often overwhelming for humans. AI can provide alerts to new and emerging attacks much sooner than human employees and previous technology iterations A pplications of AI IBM Watson . It understands natural language and can respond to questions asked of it

16. AI in entertainment and media AI in software coding and IT processes AI in manufacturing AI in banking Add Title A pplications of AI AI in transportation

17. Reporter Thanks for listening