Artificial intelligence 1. Introduction 3 1.1. Definition 3 1.2. History 3 2. Types of AI 3 2.1. Artificial Narrow Intelligence (ANI) Weak AI Narrow AI 3 2.2. Artificial General Intelligence (AGI) Strong AI Deep AI 4 2.3. Artificial Superintelligence (ASI) 4 3. Subfields of Artificial Intelligence 5 3.1. Deep Learning 5 3.2. Machine Learning 5 3.3. Difference between Machine Learning and Deep Learning 6 4. Application of AI 7 4.1. AI Application in ECommerce 7 4.2. Applications Of Artificial Intelligence in Education 7 4.3. Applications of Artificial Intelligence in Lifestyle 8 4.4. Applications of Artificial Intelligence in Robotics 8 4.5. Applications of Artificial Intelligence in Social Media 8 4.6. Applications of Artificial Intelligence in Marketing 9 5. The Evolution of AI 9 6. Future of AI 10 6.1. AI and Machine Learning will transform the scientific method 11 6.2. AI will enable nextgen consumer experiences 11 6.3. Addressing the climate crisis will require AI 11 6.4. AI will enable truly personalized medicine 11 7. Pros and Cons 11 7.1. Pros 11 7.2. Cons 12 8. Conclusion 13
HANOI UNIVERSITY OF SCIENCE AND TECHNOLOGY Technical Writing and Presentation Class: Lecturer: Artificial Intelligence Student: INTRODUCTI ON EVOLUTION OF AI TYPES OF AI FUTURE OF AI SUBFIELDS OF AI PROS AND CONS APPLICATION OF AI CONCLUSIO N INTRODUC TION What is Artificial Intelligence? AI (Artificial Intelligence) is a machine’s ability to perform cognitive functions as humans do, such as perceiving, learning, reasoning, and solving problems HISTORY 1956: Dartmouth Conference – “AI” adopted 1974-1980: AI Winter 1980s: New Hopes 1997: IBM Deep Blue beat a world chess champion 02 TYPES OF AI Threes types of AI AI ANI Artificial Narrow Intelligence – Narrow range of abilities AGI Artificial General Intelligence – On par with human capabilities ASI Artificial Super Intelligence – More capable than a human Artificial Narrow Intelligence Goal Oriented Predefined Parameters, Constraints, Contexts Single Task NLP; Versi Examples of narrow AI Siri by Apple, Alexa by Amazon, Cortana by Microsoft and other virtual assistants Image / facial recognition software Marketing content recommendations Self-driving cars Artificial General • Similar to human intelligence Intelligence • Also known as strong AI or full AI • Has human-like consciousness and cognitive abilities • Yet to become a reality • Can solve unfamiliar problems Neural Network Difference between Machine Learning and Deep Learning Types of Deep Neural Networks 04 APPLICAT ION OF AI Applications E-Commerce Lifestyle Robotics Education Social Media Marketing 05 EVOLUTI ON OF AI 1950’s to 1990’s Rising Period 195 0’s 196 0’s Starting Period 197 0’s Steady Development Period 198 199 0’s Low Development Period 0’s 21st Century: Blooming Period In 2000 Kismet, a robot with a face that expresses emotions In 2009 Google secretly developed a driverless car In 2010launched Microsoft Kinect, the first gaming device that tracks human body In 2011 Apple released Siri, a virtual assistant on Apple iOS operating systems 21st Century: Blooming Period Google researchers In 2012 trained a large neural network of sixteen thousand processors to recognize images of cats In 2014 Microsoft released Cortana their version of a virtual assistant, also Amazon created Amazon Alexa Inhumanoid 2016 robot a named Sophia was created by Hanson Robotics Google developed BERT In 2018 - the first deeply bidirectional, unsupervised language representation, pretrained using only a plain text corpus FUTURE Future of AI AI and Machine Learning will transform the scientific method AI will enable next-gen consumer experiences Addressing the climate crisis will require AI AI will enable truly personalized medicine PRO CON S S Pros and Cons of AI Pros ● Diminishes Human Error ● Facilitates Faster DecisionMaking ● Offers Continual 24/7 Availability ● Provides Digital Assistants ● Excels at Working with Large Sets of Data Cons ● ● ● ● ● Requires Higher Overall Costs Reduces Employment Lacks Creative Ability Absence of Emotional Range Increases Potential for Human Laziness CONCLUS ION - Through AI, computers have the ability to harness massive amounts of data and use their learned intelligence to make optimal decisions and discoveries in fractions of the time that it would take humans - AI is already the main driver of emerging technologies and it will continue to act as a technological innovator for the foreseeable future - AI has good and bad impact but one thing is certain: AI will be available to every category human in the future THANKS FOR WATCHI ... Artificial Narrow Intelligence – Narrow range of abilities AGI Artificial General Intelligence – On par with human capabilities ASI Artificial Super Intelligence – More capable than a human Artificial. .. SUBFIELDS OF AI PROS AND CONS APPLICATION OF AI CONCLUSIO N INTRODUC TION What is Artificial Intelligence? AI (Artificial Intelligence) is a machine’s ability to perform cognitive functions as humans... relationships 03 SUBFIEL DS OF AI • Artificial Intelligence is the concept of creating smart intelligent machines • Machine Learning is a subset of artificial intelligence that helps you build