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Technology Trends

Center for Learning in Retirement

2018

Glen Maxson & Alan Freedman

Welcome

Administrivia

• Introductions

• Parking

• Time keeping

• Attendance roster

• Class dates

Alan

Glen

Class Dates

Week 1 – Tuesday, Sept. 18 [9:25 – 10:40am]

Week 2 – Sept. 25

Week 3 – Oct. 2

Week 4 – Oct. 9 (University Fall Break – CLR will meet)

Week 5 – Oct. 16

Week 6 – Oct. 23

Week 7 – Oct. 30 (Glen’s away, Alan will be ‘Master of Ceremonies’)

Week 8 – Nov. 6

Week 9 – Nov. 13

Week 10 – Nov. 20 (Nov. 21-23 – Thanksgiving Break, but not for us, we will meet)

Week 11 – Nov. 27

Week 12 – Dec. 4 (last day of class for CLR is Dec. 7)

Administrivia

• Introductions

• Parking

• Time keeping

• Attendance roster

• Class dates

• Communication• Glen Maxson, glenmaxson@gmail.com, cell 267-866-7827

• Web sites• http://www.seniortechadvisor.com (all slides provided here each night before class)

• https://www.computerlanguage.com/ (Alan’s Computer Desktop Encyclopedia)

Today’s Objective

• Introduce the topic – Technology Trends• Why are we talking about this?

• What will we be discussing?

• Talk about the underlying technology that makes all this possible…

The Why

• The world is changing• Exponentially (at an ever increasing rate)

• We need to understand the potential and implications of new technologies• Benefits and risks

What we’ll discuss

• Artificial Intelligence & Machine Learning

• Robots & Drones

• Autonomous Transportation Systems

• Surveillance

• (Cyber) Crime, Security & Warfare

• Medical Tech

• Media

• (Virtual) Money & Blockchain

• Communication

• Earth & Sky

• Space

What we’ll discuss

• Artificial Intelligence & Machine Learning

• Robots & Drones

• Autonomous Transportation Systems

• Surveillance

• (Cyber) Crime, Security & Warfare

• Medical Tech

• Media

• (Virtual) Money & Blockchain

• Communication (incl. 5G)

• Earth & Sky

• Space

What did I miss?• Net Neutrality• Bio-chips• 3D Printing• Quantum Computing• Waste Management•

• Food Production• Nano Tech

The Driver in the Driverless Car: How Our Technology Choices Will Create the Future

Meet the authors:

Vivek Wadhwa is a Distinguished Fellow at Carnegie Mellon University's College of Engineering. He is a globally syndicated columnist for The Washington Post and author of The Driver in the Driverless Car: How Our Technology Choices Will Create the Future; The Immigrant Exodus: Why America Is Losing the Global Race to Capture Entrepreneurial Talent

Alex Salkever is a writer, futurist and technology leader and surfer (he lived in Hawaii for over a decade chasing his passion). He is the co-author of "The Driver in the Driverless Car: How Our Technology Choices Can Change the Future". The book was named as a Finalist in the 2017 McKinsey / Financial Times Book of the Year Competition

Salkever – videos (source)

Intro (2 min) Bad (2 min)Good (1.5 min)

Wadhwa – videos (source)Intro (10 min)

Book Summary

Premise – what future do we want, Mad Max or Star Trek? If we get this right, we can create the amazing future of Star Trek…

Three Questions

Wadhwa offers three questions to ask about every emerging technology:

• Does it have the potential to benefit everyone equally?

• What are its risks and rewards?

• Does it promote autonomy or dependence?

Looking at a broad array of advances in this light, he emphasizes that the future is up to us to create—that even if our hands are not on the wheel, we will decide the driverless car’s destination.

Wadhwa - videosIntro (10 min) AI (5 min)

Book Summary

Premise – what future do we want, Mad Max or Star Trek? If we get this right, we can create the amazing future of Star Trek…

• AI – narrow/weak (Siri) vs. strong/general (AlphaGo?) AI (single task vs. applied intelligence)

Wadhwa - videosIntro (10 min) Jobs (4 min)AI (5 min)

Book Summary

Premise – what future do we want, Mad Max or Star Trek? If we get this right, we can create the amazing future of Star Trek…

• AI – narrow/weak (Siri) vs. strong/general (AlphaGo?) AI (single task vs. applied intelligence)

• Jobs – not enough jobs, ‘gap growing’, revolution(?), era of ‘abundance’

Wadhwa - videosIntro (10 min) Jobs (4 min)AI (5 min)

On-Demand (3 min)

Book Summary

Premise – what future do we want, Mad Max or Star Trek? If we get this right, we can create the amazing future of Star Trek…

• AI – narrow/weak (Siri) vs. strong/general (AlphaGo?) AI (single task vs. applied intelligence)

• Jobs – not enough jobs, ‘gap growing’, revolution(?), era of ‘abundance’

• OnDemand – retail ‘digitized’, sensors/AI, robots, drones…

Wadhwa - videosIntro (10 min) Jobs (4 min)AI (5 min)

On-Demand (3 min) Health (6 min)

Book Summary

Premise – what future do we want, Mad Max or Star Trek? If we get this right, we can create the amazing future of Star Trek…

• AI – narrow/weak (Siri) vs. strong/general (AlphaGo?) AI (single task vs. applied intelligence)

• Jobs – not enough jobs, ‘gap growing’, revolution(?), era of ‘abundance’

• OnDemand – retail ‘digitized’, sensors/AI, robots, drones…

• Health – we are ‘data’, our doctors are ‘software’, genomics/microbiome*

*The human microbiome refers specifically to the collective genomes of resident microorganisms.

Wadhwa - videosIntro (10 min) Jobs (4 min)AI (5 min)

Energy (6 min)On-Demand (3 min) Health (6 min)

Book Summary

Premise – what future do we want, Mad Max or Star Trek? If we get this right, we can create the amazing future of Star Trek…

• AI – narrow/weak (Siri) vs. strong/general (AlphaGo?) AI (single task vs. applied intelligence)

• Jobs – not enough jobs, ‘gap growing’, revolution(?), era of ‘abundance’

• OnDemand – retail ‘digitized’, sensors/AI, robots, drones…

• Health – we are ‘data’, our doctors are ‘software’, genomics/microbiome*

• Energy – unlimited, clean, (almost) free – generation and storage problem solved by mid- 20s – clean water, light, communications, health, food…

*The human microbiome refers specifically to the collective genomes of resident microorganisms.

Salkever - videos

Intro (2 min) Bad (2 min)Good (1.5 min)

Salkever - videos

Intro (2 min) Bad (2 min)Good (1.5 min)