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Artificial intelligence

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Artificial intelligence

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Artificial Intelligence in everyday,Artificial Intelligence capabilities,Artificial Intelligence applications,Artificial Intelligence barriers Artificial Intelligence->Machine Learning->Deep learning,Perceptron, Few questions

Artificial Intelligence in everyday,Artificial Intelligence capabilities,Artificial Intelligence applications,Artificial Intelligence barriers Artificial Intelligence->Machine Learning->Deep learning,Perceptron, Few questions

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Artificial intelligence

  1. 1. Artificial Intelligence
  2. 2. Topics to cover What is AI? How to understand AI? Is AI multidisciplinary ? Machine Learning and how to give input to AI Deep Learning ? Applications Barriers of AI Futran and AI Our Partner
  3. 3. What is Artificial Intelligence ?
  4. 4. “Mimicking Human Intelligence” Let’s keep it simple as this topic gets complicated, Artificial - Made or produced by human beings rather than occurring naturally, especially as a copy of something natural. Intelligence - the ability to acquire and apply knowledge and skills. Artificial Intelligence - Artificial intelligence (AI) is an area of computer science that emphasizes the creation of intelligent machines that work and react like humans. There are many different definitions from the time it has been termed, All provide similar answer and all are correct ( Many world definations )
  5. 5. How to understand AI? Machines Mimicking Human Intelligence such as ● Speech recognition ● Learning ● Planning ● Problem solving ● Knowledge ● Reasoning ● Problem solving ● Perception ● Learning ● Planning Can be considered as Artificial Intelligence.
  6. 6. Few Moments of Brainstorming “Every possible Science Fiction is a probable Future” Even AI has evolved from fiction to science, Since the Terminator we are afraid of the AI let’s find out at the end. If AI does pose such a threat to Humanity?
  7. 7. The Original 7 concepts of AI 1. Simulating Higher Functions of the human brain 2. Programing a computer to use general language 3. Arranging hypothetical neurons in a manner so that they can form concepts 4. A way to determine and measure problem complexity 5. Self-improvement 6. Abstraction 7. Randomness and creativity
  8. 8. One Quick Guess, How much have we unraveled concepts of AI? The answer is pretty interesting, These concepts are from 1950. until now we have covered all except one “ Randomness and Creativity ” which we are still trying to solve, but from recent Sofia to Movies written by Algorithms We are pretty much witnessing “Evolution” of AI
  9. 9. Is AI multidisciplinary? The emerging field of artificial intelligence (AI) spans the intersection of psychology, informatics, etc. Mathematics and Psychology are often termed as Parents of AI AI is multidisciplinary and can be applied almost every field replacing human interaction with the macchine
  10. 10. You can think of deep learning, machine learning and artificial intelligence as a set of Russian dolls nested within each other, beginning with the smallest and working out. Deep learning is a subset of machine learning, and machine learning is a subset of AI. Machine learning is a subset of AI. That is, all machine learning counts as AI, but not all AI counts as machine learning. For example, symbolic logic – rules engines, expert systems and knowledge graphs – could all be described as AI, and none of them are machine learning. Machine Learning
  11. 11. Natural Language Processing How does your Smart assistant understand you? An AI system can work and improve on its own but, How does it interpret/understand Human Language ? It can only understand Symbols and Rules a Human Language is converted into Symbols, and Rules If there are unknown rule Rules ---> Stored in KnowledgeBase But this doesn’t answer the previous Question Speech recognition software captures data breaks down to rules
  12. 12. Deep Learning Deep learning is a subset of machine learning. Usually, when people use the term deep learning, they are referring to deep artificial neural networks, and somewhat less frequently to deep reinforcement learning. Deep artificial neural networks are a set of algorithms that have set new records in accuracy for many important problems, such as image recognition, sound recognition, recommender systems, etc. For example, deep learning is part of DeepMind’s well- known AlphaGo algorithm, which beat the former world champion Lee Sedol at Go in early 2016, and the current world champion Ke Jie in early 2017.
  13. 13. Perceptron
  14. 14. Only if AI is a Physical Organ... Artificial Neural Networks have gained attention during the recent years, driven by advances in deep learning. Meet the perceptron. A computer model or computerized machine devised to represent or simulate the ability of the brain to recognize and discriminate. This Basic form of Neural Network That can be Programmable and can recognise the outcomes
  15. 15. Applications of AI Fraud Detection Smart Cars Video Games Virtual Personal Assistants Auto CAD
  16. 16. Message Bots Smart Home Devices Music and Movie Recommendation Services Security Surveillance News Generation Online Customer Support
  17. 17. B A R R I E R S ● An inability to collaborate ● Specialization ● A lack of emotional intelligence ● Access to data ● Lack of Imagination ● Wrong Hands
  18. 18. The Answers That You are Waiting For
  19. 19. We are stuck in the progress of Evolution with All possible Outcomes
  20. 20. Artificial Intelligence and Futran
  21. 21. Futran IT consulting sources and provides top- of-the-league AI resources. Futran Solutions also educates and trains Ai resources through pictures, numeric systems, and content that comprehensively sum up machine learning for aspiring techies. We Provide Solutions To the Client On following Areas
  22. 22. RPA RPA or Robotic Process Automation allows employees configure computer program (a robot) to use existing apps for modulating data, processing transactions, initiating responses and interacting with other digital or automated systems. MACHINE LEARNING R Language and Python are the two most frequently used languages for data analysis in machine learning. Algorithms are first made in these two languages in the model building phase before they are implemented in the prediction phase. NATURAL LANGUAGE PROCESSING Many techniques of Natural Language Processing (NLP) have often been a part of Information Retrieval. Some of the most common NLP techniques include part-of-speech tagging, stemming, compound recognition, chunking, and de-compounding.
  23. 23. DECISION MANAGEMENT Decision Management is a set of defined parameters and processes that include designing, building, and implementing decision-making systems through which a company interacts with clients, customers, or even their own employees. DIGITAL VIRTUAL AGENTS A digital virtual agent is a non-human customer service agent which is essentially a chatterbot program that uses a computer-generated, animated, and artificially intelligent character. VAs aim to make customer service experiences as human-like as possible. KNOWLEDGE VIRTUALIZATION Virtualization is technological process in which a guest operating system, an application, or data storage is abstracted from the hardware or software placed below it. The virtualization technology is often used for server virtualization.
  24. 24. A Quick Look About Our Recent Partner
  25. 25. Powered by built-in analytics and cognitive solutions, Automation Anywhere offers a composite RPA platform. The enterprise grade solution is also one of the most sophisticated Digital Workforce Platforms available. Futran Solutions leverages this partnership with Automation Anywhere to help enterprises with efficient management and scaling of their processes.
  26. 26. Summary ● AI ● Understanding AI ● Multidisciplinary concepts of AI ● Machine Learning ● NLP ● Deep Learning ● Perceptron ● Applications ● Barriers

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