Applied Computing is a field within SCIENCE which applies practical approaches of computer science to real world problems презентация
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- 3. WHERE IS LIVERPOOL Good transport links with the rest of Britain 40 minutes from Manchester International
- 4. Liverpool is officially the UK’s friendliest City (Condé Nast Readers Travellers Awards)
- 5. Liverpool is the perfect 24-hour student city
- 14. COMPUTING Inspired By The Past Motivating The Future
- 15. Conventional Vs Biologically Inspired Computing Big Data and Data Science Application of Data Science in Healthcare
- 16. What is computing? Applied Computing is a field within SCIENCE which applies practical approaches of computer
- 17. Progress in Early Computing Applications in computing and information processing have existed since ancient times. Such
- 18. Progress in Early Computing The less widely known mechanical artefacts such as the Antikythera mechanism, an
- 19. Mechanical Computing and the Industrial Revolution Following the turn of the 19th Century, a sustained transition
- 20. Plans for Babbage’s Analytical Engine Charles Babbage, thought to be inspired by such inventions, developed designs
- 21. Introduction of Conventional Computing Automated applied computing began in the form of machines that were created
- 22. Conventional Vs Biologically Inspired Computing
- 23. Conventional Computing A computer does what it is programmed to do ! Conventional computers follow a
- 26. Aoccdrnig to a rscheearch at an Elingsh uinervtisy, it deosn't mttaer in waht oredr the ltteers
- 27. biometricupdate.com/ inhabitat.com
- 28. Conventional Computing - Challenges Scenarios associated with Limited or no knowledge Context New or previously unseen
- 29. Biologically Inspired Computing
- 30. Biologically Inspired Computing Scientists and engineers have been learning a great deal by studying natural and
- 31. Biologically Inspired Computing Biological sources of inspiration Human Brain Natural evolution Swarms: Ants Bees / Wasps
- 32. Biologically inspired Computing Key application domains Healthcare and Medicine (e.g. image analysis) Robotics (e.g. path planning)
- 33. Neural Computing Inspired by the way the human brain works. Brains do computation differently from conventional
- 34. Artificial Neural Networks A large number of highly interconnected processing units (neurons) working in parallel to
- 35. Financial Time Series Analysis with Neural Networks US/EU currency exchange rate JP/UK currency exchange rate
- 36. Artificial Neural Networks Key strengths Ability to learn / Adaptation Fault tolerance Distributed computing Key challenges
- 37. GAs adopt mechanisms of natural selection and genetics in their search for ‘optimum’ solutions. An optimisation
- 38. Genetic Algorithms (GAs) ewh.ieee.org Evolve a population of (low-fitness) solutions to a population of high-fitness solutions
- 39. Genetic Algorithms (GAs) ewh.ieee.org Evolve a population of (low-fitness) solutions to a population of high-fitness solutions
- 40. Genetic Algorithms (GAs) ewh.ieee.org Evolve a population of (low-fitness) solutions to a population of high-fitness solutions
- 41. Genetic Algorithms (GAs) ewh.ieee.org Evolve a population of (low-fitness) solutions to a population of high-fitness solutions
- 42. Genetic Algorithms for tactical driving decision making zipcar.com Tawfik, H. and Liatsis, P. (2008). An intelligent
- 43. Genetic Algorithms Key strengths Near optimum solutions Evolution and adaptability Distributed computing Key challenge Pre-mature convergence
- 44. Deep Learning Networks (Aizenberg et.al 2000, Hinton 2007) Multiple layers of learning (internal layers provide learned
- 45. Big Data and Data Science
- 46. What is Big Data? Isn’t all data big? Big Data: information that can’t be processed or
- 47. Structured and unstructured data Structured data Is laid out according to some agreed structure or pattern
- 48. Characteristics of Big Data Variety – the many different forms that data can take Velocity -
- 49. Big Data science Adopts the philosophy that with sufficient data, science can be carried out by
- 50. Data Science: Why all the Excitement? e.g., Google Flu Trends: Detecting outbreaks two weeks ahead of
- 51. Data Science – One Definition
- 52. Contrast: Databases ACID = Atomicity, Consistency, Isolation and Durability CAP = Consistency, Availability, Partition Tolerance
- 53. Contrast: Databases Business intelligence (BI) is the transformation of raw data into meaningful and useful information
- 54. Contrast: Scientific Computing Supernova Not Image General purpose classifier Nugent group / C3 LBL
- 55. Contrast: Computational Science CASP: A Worldwide, Biannual Protein Folding Contest Brain Mapping: Allen Institute, White House,
- 56. Contrast: Machine Learning
- 57. Application of Data Science in Healthcare and Medicine (Bio-inspired Computing for Big Data Science)
- 58. Bio-inspired Computing for Big Data Science Big data approaches need to exploit computing paradigms that are
- 59. Medical and Health Real World Applications In terms of the research proposed within the previous slides;
- 60. Machine Learning (ML) and its’ applications WHAT IS ML? The concept of machine learning refers to
- 61. Case Study WHAT IS SICKLE CELL DISEASE (scd)? Sickle cell disease (SCD) is one of the
- 62. Continuous self-care monitoring of chronic diseases and medicine intake are vital for patients to mitigate the
- 63. The current situation in healthcare environment Currently, all hospitals and healthcare sectors are using manual approach
- 64. Genetics Branch of science focus in the study of genes, heredity and variation in living organisms.
- 65. Genomics WHAT IS IT? Genomics is the study of a person’s complete DNA sequence - including
- 66. Bioinformatics: Data Types Bioinformatics is the application of collecting and analysing complex biological data such as
- 67. Personalised Medicine Personalised medicine intends for medication to be tailored to each individuals body based on
- 68. Pharmacogenomics PHARMACOGENOMICS investigates the impact of genetic variation(SNPs) or specific genotypes (DNA sequence) of individuals on
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