BY- B.VARSHa 10/a

[Audio] BY B.VARSHa 10/a. BY- B.VARSHa 10/a.

[Audio] Chapter -1: INTRODUCTION TO (A-I ) Artificial Intelligence Artificial Intelligence Something which is man Ability to perceive or infer information , made. and to retain it as knowledge to be applied towards adaptive behaviors within an environment or context..

[Audio] Types of intelligence there are nine types of intelligence 9)Bodily-kinesthetic intelligence 1)Interpersonal intelligence 2)Spacial intelligence 3) naturalist intelligence 5)musical intelligence 4) linguistic intelligence 7) logical-mathematical intelligence 6) Intrapersonal intelligence 8)existential intelligence.

spatial visualizing the vvorld in 3D naturalist understanding living things and reading nature intra— personal u rstanding you rse If. what you feel, and vvhat you want find i ng the right Vtords to express you rnean linguistic coordinating your rnind vvith your body bodily— kinesthetic THE TYPES OF INTELLIGENCE sensing people's feelings and rnotives interpersonal rnusical discerning sounds. their pitch. tone. rhythrn. and tirn bre quantifying things. rnaking hypotheses provi ng thern log ica I— rnathernatical tackling the questions Of why •--æe live. and why die existential.

[Audio] Decision Making The basis of decision making depends upon the availability of information , past experience , intuition, knowledge , self awareness and how we experience and understand it. We make decisions everyday starting from saying to doing consciously or unconsciously .everything we do is the result of our decisions .the choices that we get maybe big or small but there is no easy formula for the right decision. Decision making is a process of comparing a different alternatives and coming to a conclusion on what exactly you want to do. it is a process of selection which is more satisfactory than other options. Our brain plays a very important role in making all types of decision to deal with different problems in life..

[Audio] What Is Artificial Intelligence ? Artificial intelligence is the science and engineering of making intelligent machines . It is a technique of getting machines to work and behave like humans. The machines that are incorporated with human like intelligence to perform task as we do. This intelligence is built using complex algorithms and mathematical functions. When a machine poses the ability to make human traits, in other words, make decisions, predict the future, learn and improve on its own, it is said to have artificial intelligence..

[Audio] Machines become intelligent with the algorithms that are fed into them by the developer.They are trained with information that makes them intelligent to achieve the desired output.An intelligent machine has the ability to monitor its environment and then adjust its action based on what it senses. If we see around ourself we will find many such machines that use AI. How Do Machines Become Intelligent ? How Do Machines Become Intelligent? data Algorithm Ai Machines.

[Audio] Application of ai around us Google maps Google search Digital assistants Preferred recommendations.

[Audio] Ridesharing apps like uber (A-I ) based games Chatbots Healthcare.

[Audio] What is not (A-I ) ? Everything that is automatic is not always (A-I ). There is a thin line that divides the technology that uses (A-I ) or not. The machine that is train with data and has the capacity to make divisions of production is artificial intelligent. Here are few example that are not (A-I ) as they do not think on their own but are simply acting upon the set of instructions: Automatic Washing Machine The washing instructions are head by the humans in an automatic washing machine. You have to select the type of fabric, quantity of detergent, time duration of rinse other features in order to run the machine. It works on the instructions and the options selected by us to perform..

[Audio] Air Conditioners Or Remote-control Fans These are the example of internet of things (I-O-T--) where you have to instruct the "on" and "off" switches. It is dependent on humans for instructions and has no processing capacity of its own. Remote Control Toys-cars They are remote driving cars and do not have its own processing. The performance of the toys control by the person with the remote control. Smart Tv It is a TV with Internet connection that allows browsing and using O-T-T platforms. It is not using (A-I ) to process any data. It display the information based on the data provided..

[Audio] Ai And Related Terminologies As we know Artificial intelligence is the science and engineering of making machines intelligent. It has become an important part of our lives and in society as a whole. Different organizations have defined it in various forms. Some of them are as follows: Oxford Dictionary The theory and development of computer system able to perform tasks normally requiring human intelligence, such as visual perception,speech recognition,decision-making,and translation between languages..

[Audio] niti Aayog : national strategy for artificial inteliigence (A-I ) refers to the ability of machines to perform cognitive task like thinking, perceiving, learning, problems solving and decision making. Initially conceived as a technology that could mimic human intelligence. World Economic Forum Artificial intelligence is the software engine that drives the fourth industrial revolution. It’s impact can already be seen in homes, businesses and political processes. European (A-I ) Leadership The path for an integrated vision is not a well defined technology and no universally agreed definition exist .It is rather a cover term for technique associated with data analysis and pattern recognisation..

[Audio] Machine learning Machine learning is a subset of (A-I ) which uses statistical method to enable machines to improve with experience. It is one of the most popular techniques to build (A-I ) across the globe. It is the science of getting machines to interpret, process and analyse data in order to solve problems. It provides us statistical tools to explore the data. Machine learning algorithm can easily work with smaller data set. It can work on low end machines as well.When we are solving a problem using a traditional machine learning algorithm it is generally recommended that we first breakdown the problem into sub parts and solve them individually and then finally combine them. These take much less time to train. Artificial Intelligence Machine learning Deep learning.

[Audio] Deep learning Deep learning is a subset of machine learning that is inspired by the functionality of our brain cells called neurons which led to the concept of artificial neural networks. It is a process of implementing neural networks on high dimensional data to gain inside and form solutions. When the size of the data is small, a deep learning algorithm doesn’t perform well as a deep learning algorithm needs large amount of data to understand perfectly. These are heavily dependent on high-end machines. They solve the problem end to end. Usually, deep learning algorithms take a long time to train because there are many parameters making the training time longer than usual..

[Audio] Domains Of Ai Data Science Data science is a domain of artificial intelligence that processes the given data to find solutions or predict the outcome for a problem statement. It deals with data system and processes, in which the system collects numerous data, maintains data sets and derive meaning/sense out of them. recommendations: Data science is implemented in the e-commerce website like Amazon and Flipkart. It is also the logic behind Netflix and Spotify recommendations. PRICE PREDICTING websites : Data science is used in predicting the price of the products or services based on customer's demand, seasonal trends, prices of competitive market and many other factors in almost everywhere like technology, hospitality, automobiles, durables, price grabber, price runner, junglee, shopville, deal time are some examples of price comparison websites. weather ForECASTING : (A-I ) uses data sciences to predict the weather monitoring the hail, tornadoes and tsunami with greater precision. Satellite imagery and (A-I ) is used to predict how different factors are used to affect climate change..

[Audio] Computer Vision (cv) Computer vision is the domain of artificial intelligence that makes the computer analyse and understand an image or a video by collecting information from pixels. It focuses on developing techniques that do millions of calculations in order to recognize the patterns. It uses the concept of image classification, object detection, video processing and so on. Some of the applications of computer vision that we come across in our daily life are : OBJECT CLASSIFICATION :Google lens is an application with Google that can be used to identify any image by clicking a picture from the real world. It uses a concept of object detection by identifying and object in images. CATEGORIZATION OF PHOTOS IN YouR PHONE : Smartphone users computer vision to categorise the photos on your phone under different categories. face lock IN SMARTPHONES : Nowadays smartphones come with the new security system of using face recognition to lock and unlock phones it uses the front camera to detect the features of the face and save it. self-DRIVING CARS : Image classification technique in self driving cars to identify where the road is and what all obstacles are, when to stop or keep driving on the road..

[Audio] Natural language processing (nlp) Natural language is the language used by the humans to communicate with each other by writing or speaking. Natural language processing is the domain of artificial intelligence where a machine uses algorithms to understand, analyse and interact with humans using natural language. AUTO CORRECT feature : It uses N-L-P to give use suggestions and correct your spellings in a document. Google also has a feature of auto sentence completion, where it uses (A-I ) to predict the next word to complete the sentence. PLAGIARISM CHECKER : It uses N-L-P to search through the web and find any cases of published de document that may match your work line by line and worn you for the same. EMAIL filters : Your mails in Gmail accounts that categorized under 3 heads "primary" , "social" , and "promotions". It uses N-L-P to identify certain phrases from the mails and categorize them. CHATBOTS : They are software application that use N-L-P to communicate with humans using text to speech. Smart assistance like Alexa and Siri understand the speech pattern of the instructions and execute them..

[Audio] Ai Ethics (A-I ) is giving us a lot of really great new application and its providing benefit in every field of our life. As (A-I ) moves out of the research lab into the real world more and more people are becoming aware of some ethnical concerns. (A-I ) has great potential to be used as a weapon in a way the threatens public safety, security and quality of life, which is why the ethics of (A-I ) is so important. Example deepfakers are videos or audio content generated by (A-I ) for deception. Such machine generated videos have great potential to harm society by promoting the spread of Miss information and cyber attacks. Data privacy generally refers to an individual ability to decide when, how and what extent to share or communicate the person information with others. This person information can be a person's name, location, contact information, behaviour online or in the real world. Data Privacy.

[Audio] Unemployment (A-I ), despite making our life easier and helping us in doing a tasks, had led to an increase in the number of unemployment all across the world. (A-I ) is advancing and improving the lives of people by working for them and doing some of the task but at the cost of library heard of some skilled and unskilled labourers. We know that: Self-driven vehicles will replace the human driver in the future. In hospitals the robots can be used for vaccinating the patients. (A I ) enabled devices attached to patient's body can be easily monitor with a lesser number of nurses. Chat boards are replacing the humans at customer care services. Ai Bias Artificial intelligent bias includes biases that are passed into the artificial intelligent systems created by humans. These biases can we passed into the (A-I ) systems when they are trained on data based on gender, race and nationality..

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