History of AI 1. In 1950, English mathematician Alan turing wrote a landmark paper titled "Computing Machinery and Intelligence" that asked the question "can machines think?" 2. A few years later in 1956 it was John McCarthy who coined the term officially, at the famous Dartmouth Workshop , with the following phrase: “every aspect of learning or any other characteristic of intelligence can, in principle, be described with such precision that a machine can be made to simulate it. We will try to discover how to make machines use language, from abstractions and concepts, solve problems now reserved for humans, and improve themselves”.
What is AI • There is no perfect definition yet. • Almost all definitions say the same thing (Artificial Intelligence are machines or computer programs that learn to perform tasks that require types of intelligence and that are usually performed by humans). • What is Intelligence?
3 different types of AI. Artificial Narrow Intelligent —: Also know as Weak AI which involve machine to performs only narrowly defined set of specific task. e.g. Google assistant, Alexa, Siri or Self Driving car. Artificial General Intelligent —: Also know as Strong AI which involve machine to think and make decision just like humans. Artificial Super Intelligent —: which involve machine will surpass human being.
Categories of AI Reactive Machines: It doesn’t have past memory and cannot use past information to information for the future actions. (IBM Deep Blue) Limited Memory: That make informed or improved decision base on past data from its memory. (Self Driving Cars) Theory of Mind: This type of AI should be able to understand people’s emotion, belief, thoughts, expectations and be able to interact socially. Self-Awareness: An AI that has it’s own conscious, super intelligent, self-awareness and sentient (In simple words a complete human being).
Applications of AI AI In Business AI In Agriculture AI In HealthCare AI In Gaming AI In Education AI In Autonomous Vehicles AI In Social media AI in Cyber security Any Many more
AI in Agriculture AGRICULTURAL ROBOTS ANALYZING FARM DATA TACKLING THE LABORCHALLENGE CROP AND SOIL MONITORING PEST AND WEED CONTROL YIELD BOOSTING ALGORITHMS PERSONAL ASSISTANT FOR FARMER MANY MORE
AI in Banking and Finance ALGORITHMIC TRADING USING AI CHATBOTS FRAUD DETECTION CUSTOMER RECOMMENDATIONS AUTOMATED CREDIT SCORING AND LOAD PROCESS RISK MANAGEMENT MANY MORE
AI in Healthcare DRUG DISCOVERY VIRTUAL NURSES AND DOCTORS REMOTE MONITORING OF PATIENTS ROBOTIC SURGERY PERSONALIZED TREATMENT CLINICAL TRAIN RESEARCH IMPROVED RADIOTHERAPY MANY MORE
AI in Education ADDITIONAL SUPPORT FROM AI TUTORS SMART CONTENT VIRTUAL FACILITATORS AND LEARNING ENVIRONMENTS SIMPLIFYING ADMINISTRATIVE TASKS LIKE GRADING PERSONALIZED LEARNING PREDICTING CAREER PATH FEEDBACK
AI in Cybersecurity NETWORK INTRUSION DETECTION AND PREVENTION FRAUD DETECTION BOTNET DETECTION HACKING INCIDENT FORECASTING AND LIVE DETECTION SPAM FILTERING AI FOR DETECTING VULNERABILITIES IN SOFTWARE PRIVACY PROTECTION
Future applications of AI COMPLETELY AUTOMATED TRANSPORTATION HUMANS AUGMENT THEMSELVES WITH ROBOTS SMART CITIES HOME ROBOTS TO HELP ELDERLY PEOPLE AUTOMATING HAZARDOUS JOBS MANY MORE ADVANCEMENTS IN THE ABOVE- MENTIONED APPLICATION S
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