The Future of AI
6 likes586 views
The document discusses the history and future of artificial intelligence. It provides a timeline of important developments in AI from the 13th century to present day. These developments include early machines created by philosophers, the concept of the programmable computer by Alan Turing in 1936, and recent advances in deep learning. The document then discusses the growth of AI technologies and their increasing impact on various fields like transportation, healthcare, marketing, finance, human resources, and education. It emphasizes the importance of skills like data science and encourages readers to learn about AI and prepare for careers working with emerging technologies.
The Future of AI
- 1. THE FUTURE OF AI
- 2. @rizafahmi
- 3. @rizafahmi22
- 4. What is ARTIFICIAL INTELLIGENCE The Impact of ARTIFICIAL INTELLIGENCE Be Prepare for ARTIFICIAL INTELLIGENCE
- 6. The science (and art) of making computers do things that require intelligence when done by humans.
- 8. History of ARTIFICIAL INTELLIGENCE 13th century Ramon Lull - logical machines
- 9. History of ARTIFICIAL INTELLIGENCE 13th century Ramon Lull - logical machines 16th century da Vinci - walking animal
- 10. History of ARTIFICIAL INTELLIGENCE 13th century Ramon Lull - logical machines 16th century da Vinci - walking animal 17th century Leibniz, Hobbes, Descartes - systemic rational system
- 11. History of ARTIFICIAL INTELLIGENCE 13th century Ramon Lull - logical machines 16th century da Vinci - walking animal 17th century Leibniz, Hobbes, Descartes - systemic rational system 1700-1800 Thomas Bayes - probability of events, George Bool - logical reasoning
- 12. History of ARTIFICIAL INTELLIGENCE 13th century Ramon Lull - logical machines 16th century da Vinci - walking animal 17th century Leibniz, Hobbes, Descartes - systemic rational system 1700-1800 Thomas Bayes - probability of events, George Bool - logical reasoning 1832 Babbage, Ada Lovelace - Analytical Engine
- 13. History of ARTIFICIAL INTELLIGENCE 13th century Ramon Lull - logical machines 16th century da Vinci - walking animal 17th century Leibniz, Hobbes, Descartes - systemic rational system 1700-1800 Thomas Bayes - probability of events, George Bool - logical reasoning 1832 Babbage, Ada Lovelace - analytical engine 1936 Alan Turing - programmable computer
- 14. History of ARTIFICIAL INTELLIGENCE 13th century Ramon Lull - logical machines 16th century da Vinci - walking animal 17th century Leibniz, Hobbes, Descartes - systemic rational system 1700-1800 Thomas Bayes - probability of events, George Bool - logical reasoning 1832 Babbage, Ada Lovelace - analytical engine 1936 Alan Turing - programmable computer 1946 von Newmann - universal computing machine
- 15. History of ARTIFICIAL INTELLIGENCE 50s-70s AI born, computer vision, NLP, expert system
- 16. History of ARTIFICIAL INTELLIGENCE 50s-70s AI born, computer vision, NLP, expert system 1973 Lighthill Report - AI: A General Survey
- 17. History of ARTIFICIAL INTELLIGENCE 50s-70s AI born, computer vision, NLP, expert system 1973 Lighthill Report - AI: A General Survey 90s AI finally comeback!
- 18. History of ARTIFICIAL INTELLIGENCE 50s-70s AI born, computer vision, NLP, expert system 1973 Lighthill Report - AI: A General Survey 90s AI finally comeback! 2006 Hinton - optimised back propagation
- 19. History of ARTIFICIAL INTELLIGENCE 50s-70s AI born, computer vision, NLP, expert system 1973 Lighthill Report - AI: A General Survey 90s AI finally comeback! 2006 Hinton - optimised back propagation 2014 DeepMind acquired by Google
- 20. History of ARTIFICIAL INTELLIGENCE 50s-70s AI born, computer vision, NLP, expert system 1973 Lighthill Report - AI: A General Survey 90s AI finally comeback! 2006 Hinton - optimised back propagation 2014 DeepMind acquired by Google 2015 AI Re-explosion
- 21. tiny little supercomputer called smartphone. Why now? ARTIFICIAL INTELLIGENCE wirstband, smart home, tracking device called iot. data is highly available through open data initiatives.
- 24. “AI is the new electricity” — Andrew Ng, Chief Scientist of Baidu; Co-Founder of Coursera; Professor at Stanford University
- 28. Auto Tag Translate PyTorch https://research.fb.com
- 29. https://ai.google/ Self-driving car Google Duplex ML Kit
- 32. Computer vision software to crowdsource high-accuracy maps for self-driving cars.
- 33. Nauto uses in-cabin artificial intelligence to assess the driver, vehicle and road ahead to detect and coach distracted and aggressive driving in real-time.
- 36. A future delivery system designed to safely get packages to customers in 30 minutes or less using drones.
- 37. Cheaper transportation AI in TRANSPORTATION 90% reduction in CO2 emmissions
- 38. AI in HEALTHCARE
- 39. AI Powered Stroke Triage
- 40. AI platform that helps oncologists generate patient-specific treatment plans in real time and at point-of-care using a state-of-the-art clinical inference engine.
- 42. “AI can do no radiologist can. It can learn from hundred of thousand of medical images. And it estimated to be up to 10% more accurate than the average of radiologists.” — Siraj Raval, Director School of AI
- 43. AI in MARKETING
- 44. Content creation using state-of-the- art artificial intelligence.
- 45. Coding Bootcamp Through fast and intensive courses, bootcamps are marketed as a cost-effective and rewarding way for technical and non-technical university graduates to develop real-world skills and land a job in the industry in a relatively short period of time . Coding bootcamp was created to provide short and intensive training in programming languages to prepare students for their careers in the software development industry . Coding bootcamp is a kind of technical training program that offers students with little to no coding experience the opportunity to develop professional skills through accelerated, intensive and engaging training programs . Through classroom lectures and practical coding, students develop an initial understanding of programming and acquire coding skills at the entrance level . College degrees are still considered to be the gold standard for many programming jobs, Because the coding bootcamps are relatively new, the jury is still out of the way to college education .
- 46. Better marketing decisions, driven by AI.
- 47. Large-scale AI and machine learning technologies to build democratized solutions for identity used for advertising, personalization, content management, product recommendation, authentication, risk detection, and more.
- 48. AI-powered platform to guide sales teams to build better pipeline and close more of the right deals.
- 49. The most comprehensive AI- powered conversational marketing platform.
- 51. Meet Soraya AI, chatbot who handles 100% of queries coming to Sale Stock’s Facebook Page and the brainchild of Facebook, Google, Palantir, and NASA engineers recruited by Sale Stock around the world.
- 52. AI in FINANCE
- 53. Advanced device intelligence uses device behavior, context, and reputation to stop fraud and improve user experience.
- 54. Decision Intelligence™ leverages AI and machine learning technology to increase approvals for genuine transactions and deliver overall better consumer shopping experience.
- 55. 35% of Amazon.com’s revenue is generated by its recommendation engine.
- 56. More than 80% of the TV shows people watch on Netflix are discovered through the recommendation system.
- 58. Empowering savvy job seekers with the latest advances in AI and machine learning technology.
- 59. AI Matching Resume + Job Parsing
- 60. Siri is an intelligent assistant that offers a faster, easier way to get things done on your Apple devices.
- 61. Cortana. Your intelligent assistant across your life.
- 62. The Google Assistant is an artificial intelligence- powered virtual assistant.
- 63. AI in EDUCATION
- 64. Nao is talking humanoid robot that teaches everything from literacy to computer programming. It is highly effective in teaching young children, and personalised their learning experience.
- 65. Alta helps you put achievement within reach for your students through a personalised learning experience that’s impactful, accessible and affordable.
- 66. A data-driven university and careers guidance service that prepares students for the world of tomorrow.
- 67. Be Prepare for ARTIFICIAL INTELLIGENCE
- 68. To become DATA SCIENCE 1 year of master degree. And maybe 3 years of PhD.
- 70. Curriculum for DATA SCIENCE Chapter 1: Data Analysis Chapter 2: Machine Learning Chapter 3: Real-world Tools
- 71. Chapter 1 DATA ANALYSIS Learn Python Introduction to Python for Data Science - edX Learn Python for Data Science - Youtube Intro to Python for Data Science Class - Hacktiv8 paid
- 72. Chapter 1 DATA ANALYSIS Statistics & Probability Statistics and probability - KhanAcademy
- 73. Chapter 1 DATA ANALYSIS Data Analysis, Visualization Computing for Data Analysis - edX Projects Kaggle Competition
- 74. Chapter 2 MACHINE LEARNING ML for Data Science Machine Learning for Data Science and Analytics - edX Deep Learning Deep Learning Book Intro to Deep Learning - Youtube
- 75. Chapter 2 MACHINE LEARNING Projects Kaggle Competition
- 76. Chapter 3 REAL-WORLD TOOLS Database Intro to Relational Databases - Udacity Introduction to NoSQL Data Solutions - edX Hadoop + Spark Intro to Hadoop and MapReduce - Udacity Spark Workshop
- 77. Chapter 3 REAL-WORLD TOOLS Projects Kaggle Competition
- 83. “Kalau pekerjaan yang repetitif digantikan oleh robot, pekerjanya akan kemana? Maka yang buat robot itu siapa? Software developer, hardware developer. Maka berbahagialah kalian kalau karirnya di informatika, karena tidak akan pernah nganggur. Nah sisanya, itu kerjanya ngapain? Main game, kirim-kirim pulsa. Maka mereka akan menjadi korban kreatifitas kalian yang bisa bikin game, bikin app dan bikin sesuatu yang menarik.” Inggriani Liem — Ketua Pembina TOKI