My first tech talk in Bangalore after starting Snapshopr.It covered all things AI,What it really is, current state of the art,deep learning, our own research work and the risks associated with its development and how to reduce them.
2. Introduction
Artificial Intelligence(AI) is the field of
study in which we try to build intelligent
systems that can make decisions, identify
things and understand natural language
similar to how humans do.
3. Subfields of AI
● Machine Learning
● Computer Vision
● Natural Language Processing
4. Machine Learning
● The field of AI that helps computers act
without being explicitely programmed
● Design and study of systems that can
learn from data.
5. Computer Vision
● The field of AI that tries to mimic the vision
system of the brain using learning
algorithms.
● Face Recognition,Object Recognition and
Scene Understanding are some of the
popular problems in this domain.
6. Natural Language Processing
● The field of AI that deals with
understanding natural language.
● Text Processing, Language Translation,
Speech Recognition are some of the
popular problems in this domain.
7. Computer Vision : My
Focus@Snapshopr
● “If we want machines to think, we need to
teach them to see.”
- Fei-Fei Li
8. Modern AI : Deep Learning
Advanced machine learning that requires huge
amount of data and uses giant neural networks.
11. State of the Art
● Some of the most challenging problems in
computer vision were solved with
promising results in 2014.
● They all made use of Deep Learning as
part of the overall system design.
12. Breakthrough One
Captioned by Human and by Stanford & Google’s
Experimental Program
Human: “A person riding a dirt bike is covered in mud.”
Computer model: “A person riding a motorcycle on a dirt road.”
13. Breakthrough Two
● DeepFace by Facebook AI Research
DeepFace uses a 3-D model to rotate faces, virtually, so that they face
the camera. Image (a) shows the original image, and
(g) shows the final, corrected version.
14. Breakthrough Three
Yahoo Labs in California and Stanford University revealed a
new approach to the problem of spotting faces at an angle -
including upside down - even when partially occluded.
15. Research at Snapshopr
● Snapshopr is a cutting-edge deep learning
startup in Bangalore.Its first product is
trying to solve fashion search on mobile.
● Apart from our market facing product, we
invest our time and resources as part of
our R&D unit Snapshopr X.
18. Risks of AI
● "The development of full artificial
intelligence could spell the end of the
human race." - Stephen Hawking
19. Risks of AI
● “In the longer term, AI could be our
biggest existential threat." - Elon Musk
20. Disruptive Automation
● Automation across industries powered by
technologies such as AI is likely to cause
societal issues as many routine jobs are
well on way to be replaced by software.
● It's advised by experts that people should
be prepared for this impending change
and be ready to build skills to remain
employable.
21. Path Ahead ...
The immediate usefullness of AI far
outweighs its distant risks and hence a
controlled approach towards the
development of AI is more advisable and
can help us in fields as diverse as
medicine, energy, automobile and retail,
and contribute positively to the society.