3. Theme
• A brief introduction
• AI technologies in use these days
• Major Projects
• Concerns about AI
• Conclusion
4. Introduction
• What is Intelligence?
According to Cambridge Dictionary,
“The ability to learn, understand, and make
judgments or have opinions that are based on
reason.”
5. Introduction
• What is Artificial Intelligence?
“A branch of computer science dealing with
the simulation of intelligent behavior in
computers”
OR
“A machine capable enough to imitate human
intelligence.”
6. AI Today
• Is called “The Next Digital Frontier”
• Industries investing in AI
• Forrester Research predicted 300% increase in
investment this year
7. AI tech in use today
• Robotic Process Automation
Robotic process automation is the automation of
robots by mimicking human tasks by the use of
intelligent scripting to help perform the tasks that
normally humans are unable to do.
11. Text Analysis and Natural Language
Processing
• This technology uses statistical methods and machine
learning to analyze text and the sentence structure to
understand its meaning and intention
15. Virtual Agents
• What is a virtual agent?
• What does virtual agent do?
• Types of virtual agents.
iPhone’s Siri
Google Now
Microsoft Cortona
Guider in Shopping Malls
CleverBot (https://www.cleverbot.com/)
16.
17. AI Optimized Hardware
• Processing Power of human brain?
1 ExaFLOPS (a million billion)
• Latest market available processor?
120 teraFLOPS (a thousand billion)
• Improving Hardware
Intel
Nvidia etc.
18. Biometrics
• What is Biometrics?
“The automated use behavioral and physiological characteristics
to determine or verify an identity”
KnowKnow
HaveHaveBeBe
21. Decision Management
1. Learn from experience & apply the knowledge
2. Handle complex situations
3. Solve problems when important information is missing
4. Determine what is important.
5. Exhibit creativity and imagination
6. Process visual information efficiently
7. Use reason to solve problems
22. Characteristics
• Handle a Range of Data
• Obtain and Process Data from Different Sources
• Provide Report and Presentation Flexibility
• Perform complex, sophisticated analysis and
comparisons using advanced software packages
23. Goal of AI
Develop computer systems that exhibit intelligence or
simulate the ability to think
•
• Ability to add numbers
• Ability to see and recognize objects
• Ability to adapt to surroundings
• Ability to learn from mistakes
25. Google Brain
• Initiated in 2011.
• By two Google Researchers, Jeff Dean and Greg
Corrado in collaboration with Andrew Ng.
• Introduction
26. Some Breakthrough Advancements
Artificial Intelligence Devised Encryption System
• An experiment with three AI entities in 2016
•Two had to communicate using encryption
•Third to break that encryption
27. Image Enhancement
•Introduced in February 2017
•Neural networks to enhance and put details in
low resolution images
•Conditioning & Prior Networks
28. • Google Translate
• Launched in September 2016
• Neural Machine Learning System
‘Google Neural Machine Translation(GNMT)’
• Difficulty in improvement of all 103 available
languages
• Multilingual GNMT
29. The Blue Brain Project
• Started in 2005
• Swiss based collaboration between EPFL and
IBM
• Intro and objectives
achieve a better and more accurate view on the fundamental principle of human brain structure and function by simulating brain activity on a digital reconstructed human brain