Henrik de Gyor presents How artificial intelligence can help you today. Artificial Intelligence is in use today. Well beyond the hype, this class will look into the “science of making machines do those things that would be considered intelligent if they were done by people”. Several AI resources are provided with links.

1. Artificial Intelligence
You Can Use Today
by Henrik de Gyor

2. Agenda
❏ Introduction
❏ Defining AI
❏ Useable AI Today
❏ Resources
❏ Questions

3. Introduction

4. Henrik de Gyor
Consultant
Podcaster
Writer

5. Defining AI

6. ai

7. What is Artificial Intelligence (AI)?
“The science of making machines do those things that
would be considered intelligent if they were done by people”
-MIT professor Marvin Minsky
father of artificial intelligence
Machine which mimics cognitive functions that humans
associate with other human minds, such as learning and
problem solving
-Wikipedia

8. 3 Types of AI
Narrow - simple systems that behave like humans, pragmatically just
getting the system to work
General - (AGI) works on solutions genuinely simulating human reasoning
Super - (strong), what you see in movies

9. Tests confirming human-level intelligence
Turing Test (Turing)
Coffee Test (Wozniak)
Robot College Student Test (Goertzel)
Employment Test (Nilsson)
Flat Pack Furniture Test (Severyns)
Source: Wikipedia

10. Source: Stanford University

11. Source: Geospatial World

12. Source: Salesforce

13. Source: IBM

14. Source:

15. Source:https://www.veritone.com/
blog/the-state-of-artificial-intelligenc
e-in-2020-ai-by-the-numbers/
The State of AI in 2020

18. Reading
AI can read faster than human and do exact
queries faster, however humans are better at
reading comprehension
Source: https://rajpurkar.github.io/SQuAD-explorer/

19. The future is not Humans against
Machines
The future is Machines working with and
for Humans
What about fear of AI?

20. Usable AI Today

21. Image Recognition
Examples
google.com/photos
google.com/images
tineye.com

22. Image recognition software has already surpassed human accuracy

23. Source: Amazon Rekognition

24. Source: Amazon Rekognition

25. Caregivers
Example
Caregiver Smart Solutions

26. Translation
Example
Google Translate

27. Transcription (speech to text)
Example
Otter.ai

28. Virtual Assistants
Examples
Google Assistant
X.ai

29. Suicide Prevention
Source: https://newsroom.fb.com/news/2017/11/getting-our-community-help-in-real-time/
“...using artificial intelligence to prioritize the order in which our team reviews
reported posts, videos and live streams. This ensures we can get the right resources
to people in distress and, where appropriate, we can more quickly alert first
responders.”
“...roll out artificial intelligence outside the US (except in the EU at present) to help
identify when someone might be expressing thoughts of suicide, including on
Facebook Live. This will eventually be available worldwide.”

30. 10 Robots Making Life Easier

31. What about Ethics of AI?
Source: The Malicious Use of Artificial Intelligence: Forecasting, Prevention, and Mitigation
1 - Policymakers should collaborate closely with technical researchers to investigate, prevent, and mitigate
potential malicious uses of AI.
2 - Researchers and engineers in artificial intelligence should take the dual-use nature of their work
seriously, allowing misuse related considerations to influence research priorities and norms, and
proactively reaching out to relevant actors when harmful applications are foreseeable.
3 - Best practices should be identified in research areas with more mature methods for addressing
dual-use concerns, such as computer security, and imported where applicable to the case of AI.
4 - Actively seek to expand the range of stakeholders and domain experts involved in discussions of these
challenges

32. Resources
AI Weekly
Cognilytica
Keywording Now
MIT Technology Review

33. Top minds working on AI today
Andrew Yan-Tak Ng, Baidu
Yann LeCun, Facebook
Fei-Fei Li, Google
Ray Kurzweil, Google
Adam Geitgey, Groupon
David Kenny, IBM Watson
John C. Havens, IEEE
Andy Pardoe, Informed.ai
Matt Schlicht, Octane AI
Alec Radford, OpenAI
Satya Mallick, OpenCV
Amir Shevat, Slack
Angelica Lim, Softbank
Gary Marcus, NYU

34. Free courses on AI
Columbia University – Machine Learning
Coursera - AI for Everyone
Learn with Google AI
Google - Machine Learning
MIT - Deep Learning for Self Driving Cars
Stanford University - Machine Learning

35. Books

37. Questions?
Henrik de Gyor
henrikdegyor.com
http://www.linkedin.com/in/hdegyor
http://amazon.com/author/henrikdegyor
anotherdamblog@gmail.com