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Artificial Intelligence

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Artificial Intelligence

  1. 1. Artificial Intelligence A n d I t s T y p e s
  2. 2. Artificial intelligence (AI) is a subset of computer science that aims to mimic or emulate human intelligence in computers such that machines may accomplish activities that might otherwise need human intelligence. Planning, listening, thinking, problem solving, and decision making are some of the programmable features of AI systems. Algorithms, such as machine learning, deep learning, and laws, are used to power artificial intelligence systems. Machine learning algorithms use mathematical methods to feed computer data to AI systems, allowing AI systems to understand. Machine learning allows AI systems to improve their performance over time without needing to be directly designed to do so.
  3. 3. Artificial Narrow Intelligence (ANI) The only form of artificial intelligence we have effectively realised to date is artificial narrow intelligence (ANI), also known as poor AI or narrow AI. Narrow AI is goal-oriented, built to execute a single mission - such as face recognition, speech recognition/voice assistants, driving a vehicle, or browsing the internet - and is extremely intelligent at achieving the task. 3 types of AI Artificial General Intelligence (AGI) Artificial general intelligence (AGI), also known as solid AI or deep AI, is the idea of a computer with general intelligence that can understand and use its intelligence to solve any problem. In any given case, AGI will think, comprehend, and behave in a manner that is indistinguishable from that of a person. Artificial Superintelligence (ASI) Artificial super intelligence (ASI) is a potential AI that does more than emulate or comprehend human intelligence and behaviour; ASI is when robots become self-aware and outperform human intelligence and capability.
  4. 4. About Us LearnBay is a Bangalore based Data Science Institute which is dedicated to help students , professionals to become Industry – ready in Data Science. LearnBay provides IBM Certificates in Data Science. Our Key features are : 200 + Hours of classroom sessions Live classes with recording of all the classes Flexibility in Scheduling classes Class strength not more than 10 Highly qualified trainers 12+ Real time project and case studies Job Assistance – Resume building, mock interview and job referrals
  5. 5. Contact Us Address : Learnbay,19/1,2nd Floor, Classic Aura(Beside Aricent),Marathahalli - Outer Ring Road,Kadubeesanahalli, Bengaluru, Karnataka Email : contact@learnbay.in Cell No :+918861279311

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