2. Outline
What is AI?
Current state of AI
Limitations of AI Today
AI Achievements
AI Talent war
Machine Learning
Deep Learning
AI Trends
4. What is AI?
Artificial Intelligence is the science and engineering of
making intelligent machine, especially intelligent computer
programs
- John Mccarthy, Father of AI
5. Current State of AI
Strong AI
Computers thinking at a level that
meets or surpasses people
Computers engaging in abstract
reasoning & thinking
Weak AI
Computers solve problems by
detecting useful patterns
Pattern-based AI is an Extremely
powerful tool
Has been used to automate many
processes today - Driving, language
translation
6. Limitations on AI Today
Many things still beyond the realm of AI
No thinking computers
No Abstract Reasoning
Often AI systems Have Accuracy Limits
Many things difficult to capture in data
Sometimes Hard to interpret Systems
9. Is AI == ML today?
ML is the dominant mode of AI today
10. AI Talent War
There are around 300,000
qualified AI researchers. But
demand is in millions
Demand for data scientists will
surpass demand for engineers.
According to IBM, demand for data scientists will
increase to 2.7 million by 2020.
22. GPU vs CPU
Ref: http://www.nvidia.com/object/what-is-gpu-computing.html
Compared
to CPUs
20x
speedups
are typical
GPUs also excel at floating-point vector operations
because neurons are nothing more than vector
multiplication and addition. All of these characteristics
make neural networks on GPUs what's
23. Single Layer Perceptron (Model Iteration 0)
Problems:
The model outputs a real number whose value correlates with the concept of likelihood (higher values
imply a greater probability the image represents stairs) but theres no basis to interpret the values as
probabilities, especially since they can be outside the range [0, 1].
The model cant capture the non-linear relationship between the variables and the target. To see this,
consider the following hypothetical scenarios:
32. AI Trends
Taking AI to the edge
Decentralization and
Democratization
AI-as-a-Service Meta-learning solutions Quantum Neural
Blockchain AI
Capsule Networks
Amazon, Google,
Microsoft dominate
enterprise AI
AI is coming to clinical
diagnostics
DIY AI Automation
Blue & White colored
jobs
No UI is the New UI
Chatbots, Voice
enabled systems