Unit 3-Artificial Intelligence

deep learning

The field of neural networks with several hidden layers is called .

stage 3

domain specific expertise(suggestion) what do you recommend

stage 5

Self Aware Systems / Artificial General Intelligence (AGI) (prediction) what can i expect to happen

AI in the Automotive Industry

➢ Some Automotive industries are using AI to provide virtual assistants to their use for better performance. Such as Tesla has introduced TeslaBot, an intelligent virtual assistant. ➢ Various Industries are currently working for developing self-driven cars which can make your journey more safe and secure.

AI in Data Security

➢ The security of data is crucial for every company and cyber-attacks are growing very rapidly in the digital world. AI can be used to make your data more safe and secure. Some examples such as AEG bot, AI2 Platform, are used to determine software bugs and cyber-attacks in a better way.

AI in Entertainment

➢ We are currently using some AI-based applications in our daily life with some entertainment services such as Netflix or Amazon. With the help of ML/AI algorithms, these services show the recommendations for programs or shows.

Advantages of Artificial Intelligence

1. High Accuracy with fewer errors 2. high speed 3. high reliability 4. useful for risky areas 5. digital assistant 6. useful as a public utility

Goals of Artificial Intelligence

1. Replicate human intelligence 2. Solve Knowledge-intensive tasks 3. An intelligent connection of perception and action 4. Building a machine which can perform tasks that requires human intelligence such as: ✓ Proving a theorem ✓ Playing chess ✓ Plan some surgical operation ✓ Driving a car in traffic 5. Creating some system which can exhibit intelligent behavior, learn new things by itself, demonstrate, explain, and can advise to its user.

Need for Artificial Intelligence

1. To create expert systems that exhibit intelligent behavior with the capability to learn, demonstrate, explain and advice its users. 2. Helping machines find solutions to complex problems like humans do and applying them as algorithms in a computer-friendly manner

stage 6

Artificial Superintelligence (ASI) (prevention) what can i avoid

Weak AI or Narrow AI

Narrow AI is a type of AI which is able to perform a dedicated task with intelligence.

stage 7

Singularity and Transcendence(situational awareness) what do i need to do right now

the two components of ai

an agent and its environment

Neural networks

are biologically inspired networks that extract features from the data in a hierarchical fashion

Intelligence

as we know, is the ability to acquire and apply knowledge.

stage 2

context awareness and retention(notification) what do i need to know

Disadvantages of Artificial Intelligence

high cost cant think out of the box no feelings and emotions increase dependence on machines no original creativity

Super AI

is a level of Intelligence of Systems at which machines could surpass human intelligence, and can perform any task better than a human with cognitive properties.

general AI

is a type of intelligence that could perform any intellectual task with efficiency like a human.

Intelligence

is an intangible part of our brain which is a combination of Reasoning, learning, problem-solving, perception, language understanding, etc ✓ Mathematics ✓ Biology ✓ Psychology ✓ Sociology ✓ Computer Science ✓ Neurons Study ✓ Statistics

Machine perception

is the ability to use input from sensors (such as cameras, microphones, sensors, etc.) to deduce aspects of the world. e.g., Computer Vision.

Self-awareness AI

is the future of Artificial Intelligence. These machines will be super intelligent and will have their own consciousness, sentiments, and self- awareness.

Knowledge

is the information acquired through experience.

Experience

is the knowledge gained through exposure (training)

Limited memory

machines can store past experiences or some data for a short period of time. self driving cars

reactive machines

most basic, dont store memories or past, focus on current scenarios .... IBM, alpha go

types of AI based on capabilities

narrow, general and super AI

based on functionality

reactive machines limited memory theory of mind self awareness AI

stage 4

reasoning machines(automation) what should i always do

stage 1

rule based systems(perception) what is happening now

theory of mind

should understand human emotions, people, beliefs, and be able to interact socially like humans.

The term machine learning

was introduced by Arthur Samuel in 1959

Intelligence is composed of:

§Reasoning §Learning §Problem Solving §Perception § Linguistic Intelligence

AI in Finance and E-commerce

➢ AI and finance industries are the best matches for each other. The finance industry is implementing automation, chatbot, adaptive intelligence, algorithm trading, and machine learning into financial processes. ➢ AI is providing a competitive edge to the e-commerce industry, and it is becoming more demanding in the e-commerce business. AI is helping shoppers to discover associated products with recommended size, color, or even brand

AI in education:

➢ AI can automate grading so that the tutor can have more time to teach. AI chatbot can communicate with students as a teaching assistant. ➢ AI in the future can be work as a personal virtual tutor for students, which will be accessible easily at any time and any place

AI in Gaming

➢ AI can be used for gaming purposes. The AI machines can play strategic games like chess, where the machine needs to think of a large number of possible places.

AI in Travel &Transport

➢ AI is becoming highly demanding for travel industries. AI is capable of doing various travel related works such as from making travel arrangements to suggesting the hotels, flights, and best routes to the customers. Travel industries are using AI- powered chatbots which can make human-like interaction with customers for a better and fast response.

AI in agriculture

➢ Agriculture is an area that requires various resources, labor, money, and time for the best result. Now a day's agriculture is becoming digital, and AI is emerging in this field. Agriculture is applying AI as agriculture robotics, solid and crop monitoring, predictive analysis. AI in agriculture can be very helpful for farmers

AI in Robotics:

➢ Artificial Intelligence has a remarkable role in Robotics. Usually, general robots are programmed such that they can perform some repetitive task, but with the help of AI, we can create intelligent robots which can perform tasks with their own experiences without pre-programmed. ➢ Humanoid Robots are the best examples for AI in robotics, recently the intelligent Humanoid robot named Erica and Sophia has been developed which can talk and behave like humans.

Influencers of artificial intelligence

➢ Big data: Structured data versus unstructured data ➢ Advancements in computer processing speed and new chip architectures ➢ Cloud computing and APIs ➢ The emergence of data science

AI and healthcare

➢ In the last, five to ten years, AI becoming more advantageous for the healthcare industry and going to have a significant impact on this industry. ➢ Healthcare Industries are applying AI to make a better and faster diagnosis than humans. AI can help doctors with diagnoses and can inform when patients are worsening so that medical help can reach the patient before hospitalization.

AI in Social Media

➢ Social Media sites such as Facebook, Twitter, and Snapchat contain billions of user profiles, which need to be stored and managed in a very efficient way. AI can organize and manage massive amounts of data. AI can analyze lots of data to identify the latest trends, hashtags, and requirements of different users.