Future Ways of Doing Science science world conf of scientific youth peru 2016
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This document discusses potential future ways of doing science through computational science, artificial intelligence, and increasing individual and collective intelligence. Computational science using supercomputers can save costs and resources compared to traditional lab work. Artificial intelligence, including narrow, general, and super AI, will greatly accelerate the speed of scientific discovery. An international science and technology organization could harness collective intelligence to manage ideas, research, and AI systems for the benefit of all. Future technologies like AI, robotics, and nanotechnology will likely integrate and combine in new ways to further advance science.
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Future Ways of Doing Science science world conf of scientific youth peru 2016
- 1. Future Ways of Doing Science Jerome C. Glenn, CEO The Millennium Project 8th World Conference of Scientific Youth Lima, Peru
- 2. Science is a way of knowing (an epistemology). I cannot know the future of knowledge But can know potential new ways of doing science, than can accelerate it.
- 3. Computational Science Computational biology Computational Chemistry Computational Physics Saves lab costs saves animal lives saves time, and grind computer creates super computers at no cost
- 4. Artificial Intelligence Will Change Science Artificial Intelligence 1. Artificial Narrow Intelligence 2. Artificial General Intelligence 3. Artificial Super Intelligence
- 5. When this begins to happen, the speed of increasing AI’s intelligence will be far faster and produce more change than Moore’s Law by responding to feedback from sensor networks worldwide, will accelerate AI’s intelligence worldwide… moment by moment Artificial General Intelligence … that can autonomously “write” and improve its code…
- 6. These three together will change the speed new of scientific knowledge Artificial Intelligence Moore’s Law Computational Science
- 7. Increasing Intelligence: both Individual and Collective Intelligence EU, US, China Human Brain Projects; Google & IBM artificial brain projects Human Intelligence is also a factor in doing science
- 8. Steve Jobs and Bill Gates 1991 By 2030 billions of people could be augmented geniuses, and what could they create?
- 9. International S&T Organization (ISTO) as Collective Intelligence • Not a bureaucracy but a collective intelligence system for the world • The management of ideas, research, scientists, AI systems • Available to all, with procedures for participation and review • An example of a collective intelligence system for futures research is the Global Futures Intelligence System at www.themp.org
- 10. Old Way of Exploring Future Applied Science and Technologies Artificial Intelligence Robotic manufacturing Computational Science 3-D4-D Priting Nanotechnology Quantum computing Synthetic Biology Drones Artificial General Intelligence Tele-Everything & Tele-Everybody the SemanticWeb
- 11. Future Way of Seeing Applied Science Technologies - Integration/Synergies
- 12. Future Synergies Robotic manufacturing Drones Quantum computing Robotic manufacturing 3D，4D Printing Augmented Reality Tele-Presence, Holographics Nanotechnology Artificial General Intelligence Tele-Everything Tele-Everybody the SemanticWeb Increasing individual and collective intelligence Synthetic Biology Nanotechnology
- 13. Future Synergies Artificial Intelligence Robotic manufacturing Quantum computing Drones Future Technology Robotic manufacturing 3D，4D Printing Augmented Reality, Tele-Presence, Holographics
- 14. If Then Nano- technology Synthetic Biology Artificial Intelligence Robotics 3-D Printing Augmented Reality Nano- technology xxx Synthetic Biology xxx Artificial Intelligence xxx Robotics xxx 3-D Printing xxx Augmented Reality xxx Applied Science Explorations Matrix
- 15. IoT AI Contact Lens – always in VR, AR, Mixed Reality, reinforcing CURIOSITY Hands-free, phone free, laptop free, AI-human symbiosis
- 16. Will STEM Education (S&T, Engineering, Mathematics) Make a Difference? After 2030 as AI learns how to learn in general, simultaneously and world/wide?
- 19. For further information Jerome C. Glenn +1-202-686-5179 phone/fax Jerome.Glenn@Millennium-Project.org www.StateoftheFuture.org Global Futures Intelligence System: http://millennium-project.org/millennium/GFIS.html 2015-16 State of the Future: http://millennium-project.org/millennium/201516SOF.html Futures Research Methodology 3.0: http://millennium-project.org/millennium/FRM-V3.html