AIAI :

What sheer computing power can do

Thinks easy for man are difficult to put in equation

Deep Learning example:

Easy recognition can be taught to computer ... which will come up with statistical rules which match the given training sample

1) AI and Deep learning: example with image

recognition

Can you see a face in the picture ?

Image recognition

1) how supervised learning Algo work?

Black shape

shade

Human face

pixels

Face

Face

Face

But first some

training with labels

Within Facebook most

data are "prelabeled"

by users

"Great breakfast with TOM"

See where more "training is required"

Most of the time 95% correct is OK

Can define a new

categories: "I see a lot of this: tell me what it is !"

2) How unsupervised learning Algo

work?

Youtube lets AI scan

millions of video

( no pre-training with labels given)

... And then can be really good .... And tireless

Microsoft Cortana recognises the dog precise family

Yes easy to foul...

But see it

Application Facebook

Deepface:

recognise 97% of faces

Medical application: image recognition

WATSON

"Doc: I see a lot of this: tell me what it is !

Did you over-look it ?

Application 3 :

Image classification tomorrow will help

AR

Warning: "You are looking at a SKU of 1996 which is obsolete and

dangerous"

Progress of classical AI

thanks to sheer computing power

( Moore's law)

AI computing:

If ..... Then ......

classical computing :

if ... Then .... Else ....

go thru all your 10000 rules in 1/10 sec and writes 3000 pages

a sec

Precise reliable predictable outcome...

Or BUG.

Go thru your rules and give a possible

answer ...

Or ask for more question

Problem can be put in equation:Write it

Problem cannot be put in equation:

Just give rules

AI: Conclusion