Soheib BOUDALI

M2 AI Student at USTHB

Junior full stack web developer

 

Artificial

Intelligence

Overview

Main points

 

  • What is AI ?

  • When & Why AI ?

  • AI fields

  • AI applications

  • Impact of AI

  • AI Dev tools

  • AI today and tomorrow

  • AI QUIZ

What is AI ?

What is AI ?

Definition :

Artificial intelligence (AI) is the simulation of human intelligence processes by machines, especially computer systems.

 

These processes include :

  • Learning
  • Reasoning
  • Self-correction

When & Why

AI ?

When we should use AI ?

Artificial intelligence can be useful when :

  • There is no expertise on the problem            ex : robot flying on Mars
  • We have expertise, but we do not know how explain it into an algorithm

                             ex: faces recognition

  • Solutions to the problem change over time

                             ex: weather prediction

  • Solutions must be customized

                             ex: center of interest

Why we should use AI ?

AI should be used because :

Commercial point of view

  • Many data collected : web / e-commerce

  • Concurrence​ :

    Customer Relationship Management

 

Scientific point of view

  • Data collected, saved at very high speeds (GB / hour) :

     satellite

AI fields

Expert system

Planning scheduling and optimization

Genetic

PSO

Natural language processing (NLP)

Translation

 

Text

Classification

Information extraction

Speech

Text to speech

Speech to Text

Robotics

Vision

Machine Learning

Based on

Neurol network

Logic / Probability

Deep learning

Decisions trees

Bayesian network 

Machine Learning

Neurols network :

Machine Learning

Neurols network :

Ex : a data with 3 features and a label

input 1 input 2 input 3 output

          .              .                 .                .   

          .              .                 .                .   

60% Train data

20% Validation data

20% Test data

Machine Learning

Neurols network :

Machine Learning

Deep learning

modern problems require modern solutions

Machine Learning

AI

Machine

learning

Deep

learning

Machine Learning

Decisions trees

Machine Learning

Bayesian network​

K-Nearest neighbor (K-NN)

Machine Learning

Bayesian network​

Bayesian Naive :             (Y , 2 , S ,Y) ???

Machine Learning

Bayesian network​

Bayesian Belief Networks

The probability of state S depends ONLY on the probability of state S-1

AI fields

AI applications

IBM Waston

Google home

Amazon go

Tesla

Tesla model X

Tesla

Sophia

Impact of

AI

On Education

Simplifying Administrative Tasks

Personalized Learning

Identification of students weakness

New academic branchs

WILL AI STEAL YOUR JOB ?

On employment

On employment

Let's take a look

AI Dev tools

Programming languages

GOOGLE Product

AI

Today

and Tomorrow

Narrow AI

Called WEAK-AI, it's an artificial intelligence that is focused on one narrow task like :

Appel Siri

General AI

Called STRONG-AI , is the intelligence of a machine that has the capacity to understand or learn any intellectual task that a human being can like :

The coffee test 

  1. find the coffee machine
  2. find the coffee
  3. add water
  4. find a mug
  5. serve coffee

A super I

Super AI is AI that surpasses human intelligence and ability.

Even the brightest human minds cannot come close to the abilities of super AI.

THANKS FOR YOUR ATTENTION

Questions !

BUT WAIT !!

I have a question for you !

Who controls the other

??

 

SEND ME YOUR ANSWERS

Cédric So

cedric_s

Boudali soheib

soheib.boudali29@gmail.com

THANKS AGAIN !

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