Artificial Intelligence (AI) Applications PDF

1. Human Knowledge is expressed in language. So computational linguistics is very important. 2. Computational linguistics is the scientific and engineering discipline concerned with understanding writing and spoken language from a computational perspective. 3. Computational perspective, and building...

1. Human Knowledge is expressed in language. So computational linguistics is very important. 2. Computational linguistics is the scientific and engineering discipline concerned with understanding writing and spoken language from a computational perspective. 3. Computational perspective, and building artifacts that usefully process and produce language. 4. A Computational understanding of language also provides insight into thing and intelligence. 5. Linguistically Competent computers would greatly facilitate our interaction with machine. 6. Linguistically Competent computers would greatly facilitate our interaction with machine. 7. Machine learning techniques in natural language processing, and miscellaneous applications. 8. Characterizing language in ways enabling computationally tractable implementations of syntactic and semantic analysis. 9/10/11 Some of the most prominent are:- Efficient text retrieved on some desired topic, effective machine translation (MT), question answering(QA) 12. Text Summarization. 13. We noted earlier that language is potentially ambiguous. 14. Words like bank, recover, and cool have multiple meaning. 15. Nominal compounds such as ice bucket, ice sculpture, olive oil, or baby oil leave. 16. The dividing line between semantic interpretation and discourse understanding _making sense of text _ is a rather arbitrary one. 17. Al would have a low error rate compared to humans, if coded properly. 18. They would have incredible precision, accuracy and speed. 19. They will not be affected by hostile environments. 20. Replace humans in repetitive, tedious, tasks and in many laborious places of work. 21 & 22 The use of AI in the financial services sector has many consumer benefits, from improving customer service to enhancing security. 23 & 24 AI algorithms increasing the speed and accuracy of credit application, monitor your accounts for signs of fraud, and help manage your investment in the stock market. 25 & 26 AI is already in use in the gadgets you touch every day. Think, for example, of the face detection on your smartphone...etc. 27. The home security cameras that send a text when your kids get home from school. 28. Transportation has seen great leaps forward in the use of AI. 29. There are autonomous vehicles that do not require a human driver. 30. From algorithms that can examine different treatment alternatives and recommend the most effective cancer drugs, to helping identify medical issues in x-rays and CT scans _ AI in the healthcare has incredible applications. 31. AI is used to review lengthy legal contracts, draft legal documents, and provide a first screening of personal injury claims. 32. More purely Al-inspired approaches that also emerged in the 1960s were exemplified in systems such as SAD SAM (Lindsay 1963), SIR (Raphael 1968), and STUDENT(Bobrow1968). 33 / 34 /35 The corpus-based approach has indeed been quite successful in producing comprehensive, moderately accurate speech recognizers, part-of-speech (POS) taggers, parsers for learned probabilistic phrase-structure grammars, and even MT and text- based QA systems and summarization systems. 36. The primary concern being the development of practical techniques for such applications as MT and simple QA. 37. In MT, central issues were lexical structure and content, the characterization of “sublanguages” for particular domains. 38. Designing system aimed at genuine language understanding and dialogue. 39. An example of a program minimally dependent on linguistic or cognitive theory was Joseph Weizenbaum’s ELIZA problem, intended to emulate (or perhaps caricature) a Rogerian psychiatrist. 40. Artificial intelligence s the simulation of intelligent, human-like processes by machines. 41. The AI market is forecast to grow from $419.7 million in 2014, to $5 billion by just 2020! 42. Predict what a user will type, ask, search, and do. They can easily act as assistants and can recommend or direct various actions. 43. Can detect fraud in card-based systems, and possibly other systems in the future. 44. interact with humans for entertainment or a task as avatars robots. 45. An example of this is AI for playing many videogames. 46. Robotic pets can interact with humans. Can help w/ depression and inactivity. 47. Disadvantages: Can cost a lot of money and time to build, rebuild, and repair. 48. It is questionable: is it ethically and morally correct to have androids, human-like robots, or recreate intelligence, a gift of nature that should not be recreated? This is a discussion about AI that is popular in the days. 49. Artificial Intelligence / AI: design of machines capable of intelligent behavior, meaning behavior capable of achieving objectives; field originated in the 1960s, and including computational linguistics. 50. bit data: data sets that too complex for standard data-processing application software. 51. corpus linguistics: study of language as expressed in bodies (corpora)of written text; originated in the 1970s to advance discourse analysis. 52. data analysis: process of inspecting, cleaning, transforming and modeling data to find useful information. 53. data mining: process of turning raw data into useful information; used for example for machine learning or statistics programs. 54. data processing: collecting, storing, visualizing, searching, querying, analyzing, updating, sharing and transferring data. 55. lexicography: practice of compiling, writing and editing general or specialized dictionaries; study of the semantic relationships in the vocabulary (lexicon) of a natural language. 56. linguistic corpora: collection of linguistic data, either written text or transcriptions of recorded speech.