ARTIFICIAL_INTELLIGENCE_Zain ALi.pdf
- 2. CONTENTS DEFINATION EARLY HISTORY TYPES OF AI CURRENT STATUS OF AI CHALLENGES OF AI FUTURE OF AI CONCLUSION
- 3. DEFINATIOIN The study of computer system that attempt to model and apply the intelligence of human mind A branch of computer science dealing with the simulation of intelligent behaviour in computers. The capability of a machine to imitate intelligent human behaviour.
- 4. EARLY HISTORY OF AI 1956 - John McCarthy coined the term ‘artificial intelligence’ and had the first AI conference. 1969 - Shakey was the first general-purpose mobile robot built. It is now able to do things with a purpose vs. just a list of instructions. 1997 - Supercomputer ‘Deep Blue was designed, and it defeated the world champion chess player in a match. It was a massive milestone by IBM to create this large computer. 2002 - The first commercially successful robotic vacuum cleaner was created. 2005 - 2019 - Today, we have speech recognition, robotic process automation (RPA), a dancing robot, smart homes, and other innovations make their debut. 2020 - Baidu releases the LinearFold AI algorithm to medical and scientific and medical teams developing a vaccine during the early stages of the SARS-CoV-2 (COVID-19) pandemic. The algorithm can predict the RNA sequence of the virus in only 27 seconds, which is 120 times faster than other methods.
- 5. TYPES OF AI 1 Purely Reactive 2 Limited Memory 3 . Theory of Mind 4 Self-Aware
- 6. CURRENT STATUS OF AI Deep Learning: Natural Language Processing (NLP): Robotics: Autonomous Vehicles Healthcare.
- 8. AI models rely on large amounts of data to learn and make decisions. However, if the data used to train these models is biased or of poor quality, it can lead to inaccurate results and reinforce existing biases.
- 9. : Many AI models are complex and opaque, making it difficult to understand how they make decisions. This lack of transparency can lead to mistrust and hinder adoption of AI systems.
- 10. AI models rely heavily on data to learn and make predictions. Ensuring that the data is accurate, representative, and available can be a significant challenge, particularly in industries or applications where data is scarce or difficult to collect.
- 11. As AI becomes more prevalent, the risk of cyberattacks and data breaches increases. Ensuring the security and privacy of data is crucial to protecting individuals and organizations from harm.
- 12. AI has the potential to significantly impact society, and its development and deployment must consider ethical implications. Key considerations include issues such as accountability, responsibility, and the potential impact of AI on employment and the economy.
- 13. FUTURE OF AI Advancements in deep learning and neural networks Increased use of AI in healthcare Greater focus on ethical considerations: Advancements in natural language processing: Continued growth in robotics: :
- 14. In conclusion, artificial intelligence (AI) is a rapidly growing field with tremendous potential for transforming many aspects of our lives. AI-powered applications are already being used in industries such as healthcare, finance, and transportation, and we can expect to see continued growth and innovation in the future.
- 15. THANKYOU