AI and Life in 2030 (Mis)interpreted by James Fan fanj@hellovera.ai - - PowerPoint PPT Presentation

▶

Sep 02, 2023 8 likes •209 views

AI and Life in 2030 (Mis)interpreted by James Fan fanj@hellovera.ai Outline 1. History of AI 2. Study overview and summary 3. Defining AI 4. Trends in AI AI will kill us all! AI is awesome! Birth of AI: 1956 Dartmouth Workshop 1956-1973

SLIDE 1

AI and Life in 2030

(Mis)interpreted by James Fan

fanj@hellovera.ai

SLIDE 2

Outline

1. History of AI
2. Study overview and summary
3. Defining AI
4. Trends in AI

SLIDE 3

AI is awesome! AI will kill us all!

SLIDE 4

Birth of AI: 1956 Dartmouth Workshop

SLIDE 5

1956-1973

SLIDE 6

1974-1980

SLIDE 7

Little Computing Power Underestimate d Difficulties

“Build a vision system in

ne summer”

Translate: “The spirit was willing but the flesh was weak” “The vodka was good, but the meat was rotten.”

Result: Limited Intelligence

SLIDE 8

1980-1987

SLIDE 9

1987-1993

SLIDE 10

SLIDE 11

SLIDE 12

SLIDE 13

1997: IBM Deep Blue beat reigning world Chess Champion 2005: Stanford won DARPA Grand Challenge 2011: IBM Watson defeated top Jeopardy! champions. 2016: Google AlphaGo beat a top human Go player 2030: What’s next?

SLIDE 14

“... takes a much longer time coming than you think, and then it happens much faster than you would have thought.”

SLIDE 15

100 Year Study on AI

The overarching purpose of the One Hundred Year Study’s periodic expert review is to provide a collected and connected set of reflections about AI and its influences as the field advances. Panel found no cause for concern that AI is an imminent threat to humankind. No machines with self-sustaining long- term goals and intent have been developed, nor are they likely to be developed in the near future. Instead, increasingly useful applications of AI, with potentially profound positive impacts on our society and economy are likely to emerge between now and 2030, the period this report considers.

SLIDE 16

What is AI and What is not AI

Artificial intelligence is that activity devoted to making machines intelligent, and intelligence is that quality that enables an entity to function appropriately and with foresight in its environment.

- Nils J. Nilson
GPS navigation
Book recommendation
Playing game
Driving vehicle
Web search
Wikipedia
Internet of Things
Operation Research
Tax filing software

SLIDE 17

Techniques Areas Demos/ Applications

Search Logic & Reasonin g Machine Learning Natural Language Processing Vision Speech Planning AI in Games Robotics Machine Translation Question Answerin g

SLIDE 18

Machine Learning Artificial Neural Network Reinforcemen t Learning Deep Learning Natural Language Processing Vision Speech Robotics Unsupervised Learning Supervised Learning

SLIDE 19

1969: Minsky and Papert proved limitations of perceptron

A Brief History of Neural Network

1957: Frank Rosenblatt invented perceptron 1974-1980: AI Winter 1980s: Multi-layer perceptron 1987-1993: AI Winter 2000s: Deep learning

SLIDE 20

What Next?

Buchanan, Bruce G. A (Very)

Brief History of Artificial Intelligence AI Magazine 2005

https://www.coursera.org/learn/

machine-learning#

https://www.coursera.org/learn/

neural-networks