This document contains a presentation on artificial intelligence (AI) given by team members Madan Acharya, Ashal Upreti, Oman Neupane, and Ashish Pandey. The presentation covers the history of AI, current and future uses of AI in different fields such as healthcare, education, and entertainment, and some innovations in AI like IBM Watson, Google Eye Doctor, and Sophia the robot. It also discusses the current status and future of AI, as well as the slow adoption of AI in Nepal and potential downsides of AI like job losses and biased algorithms.
2. Welcome Message
Team Members
Madan Acharya Ashal Upreti Oman Neupane Ashish Pandey Rakesh Kumar Chaudhary
Thanks to our respectable Arun Kumar Gaire Sir for this wonderful opportunity to devlop our
presentation skills.
3. Agendas
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Introduction and the history
Current and the future status
Uses in different field
Some of Great innovation
AI in Nepal
The dark side
Q&A session ?
4. Intro about AI
• Science and engineering of making intelligent
machines
• Machines that mimic human intelligence to perform tasks and can iteratively
improve themselves based on the information they collect
Human approach:
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Systems that think like humans
Systems that act like humans
Ideal approach:
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Systems that think rationally
Systems that act rationally
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6. History
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1950s:- Alan Turing test about "can machine think?"
1960s:-John McCarthy "artificial intelligence" term ,first ever AI conference
and the development of logic theorist first ever running AI software Program
1970s:-launching of PROLOG programming
1980s:- Use of Neural Networks
1990s:-IBM's Deep Blues beats the world Champion Garry Kasparov in a
chess match.
2000s-present:- Development of deep Neural network ,DeepMind AlphaGo
Program, widely use of AI in different Sectors
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10. Types of Arti cial Intelligence
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Artificial Narrow Intelligence
Weak AI
Apply AI only to the specific tasks Eg:-ALEXA
Artificial General Intelligence
Strong AI
ability to perform any task that a human being can do Eg;-recommendation
engine
Artificial super intelligence
time when capability of the computer will surpass humans.
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12. Do people know where AI is used ?
80 74
General Population Tech Executives
Stats among 979 U.S adults and 269 tech executives
65
60 56 55
45 46 48 46
40 37 38 35
28
20
0
voiceAssistants
t e x t
D r o n e s G a m i n g C o n s o l e
source: Edleman
N a t u r a l L a n g u a g e
r e c o n i g a t i o n c o m p u t e r
13. Methods in AI
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Symbolic approach
Top down approach
Inserting human knowledge and behavior rule into codes.
Connectionist approach
Based on the human Being working mechanism and interconnected neurons.
use perceptron to represent a single neuron .
eg:-Neural Network
14. AI facts and predictions
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Statista, AI software market revenue 126 billion dollars by 2025
Gartner, 37% of organizations have implemented AI ,growth by 270% in four years
Servion Global Solutions, by 2025, 95% of customer interactions will be powered
byAI
Statista expected to grow approximately 54% year-on-year and reach a forecast
size USD $22.6 billion
15. Best Arti cial Intelligence programming languages
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Python
Java
JavaScript
C++
Julia
Lisp Source: Barkley Extension
18. Out of topic Interesting Facts
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Wireless bungee Jump is possible with combination with science.
Non-Newtonian fluids changes into solids when pressure is applied.
19. Current status of AI
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According to research paper of Othmane Sebbouh and Nitarshan Rajkumar:
New independent research lab rapidly Opening
NVIDIA Hardware most used
Safety is gaining awareness among major AI research entities.
The China-US AI research gap continued to widen
AI-driven scienti c research continues to lead to breakthroughs
20. Future Status of AI
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Self-aware AI
Widely use of AI in space utilization
Many of the organization using AI robots to handle work.
Augmenting human abilities
Some of our best friends will be Robots.
21. AI in different eld
Logistics & Shipping:
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Route optimization system
Back office Tasks Automation
Peak hour Prediction
Chatbots
Autonomous Vehicles
22. AI in different eld
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Healthcare
Medical Imagine Analysis
Drug Discovery system
Cancer Treatment and Research
Cost of medicine Development
Genetic Medicine Discovery
23. AI in different eld
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Education
Smart Textbooks
Test preparation apps
Smart assessment tools
voice assistant
Scoring and feedback system
24. AI in different eld
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Entertainment & Media
Streaming Personalizations
Subtitle Creation
Search Optimization
Meta Data Tagging
25. AI in different eld
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Banking & Finance
Fraud Detection
Budget Management Apps
InvestmentTools
Insurance Risk Detection
Transaction Customization
26. Great Innovations
COIN:
JP
☐ At JPMorgan, an AI-powered program called COIN has been used
since June 2017 to interpret commercial loan agreements.
☐ 360,000 lawyer-hours can now be done in seconds
☐ The bank is planning to use the technology for other types of legal
documents as well.
27. IBM WATSON :
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Clinical decision support tools help providers make decisions about
treatments, medications, mental health and other patient needs by
providing them with quick access to information or research that's
relevant to their patient.
In medical imaging, AI tools used to analyze CT scans, x-rays, MRIs and
other images for lesions or other findings that a human radiologist might
miss.
Clinical trial efficiency
29. Twitter Transparency
☐ Twitter using AI to identify hate speech and terroristic language in
post
☐ Discovered and banned 300000 Twitter account from which 95% of
them are AI detected.
30. Sophia the robot
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Sophia social humanoid robot
developed by Hanson robotics
Ameca: Another Advanced Humanoid
Robot
31. AI Human Creative Task prediction
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2026: Write a high school essay
2027: Generate a top 20 pop song
2028: Generate a creative Video
2049: Write a New York Times Bestseller
2050: Compete in Putnam Math competition
2059: Conduct math research
Source: World economic forum creative disruption white paper
32. AI in Nepal?
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waiter Robots in business restaurants
Use of imported AI technology
Nepali speech recognition software by Paila Technology cooming soon.
Fuse machines
Robotics club Pulchowk second runner up in Robocon 2022 india
KHEC claiming that they are building first AI lab.
34. The dark side
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implementation cost
unemployment
Destruction if implementation of machine put in the wrong hand
Biased and discriminatory algorithms
Environmental impact
35. AI as Threat?
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Debatable Question!
Stephen William Hawking, "Strong Ai would take of its own , and
redesign itself at an ever-increasing rate. Humans, Who are limited
by slow biological evolution, couldn't compete, and would be
superseded ".
☐ Elon Musk, "AI is the fundamental risk to the existence of the
human civilization".
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37. References
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"Machine learning, explained | MIT Sloan." 21 Apr. 2021,
https://mitsloan.mit.edu/ideas-made-to-matter/machine-learning-explained.
"State of AI Report 2022." https://www.stateof.ai/.
"The Future of AI: When Will It Self-Awareness?." 28 Sept. 2022,
https://artificialintelligences.blog/the-future-of-ai-when-will-it-self-awareness/.
