Artificial Intelligence (AI): Applications in Life Science | Davangere University
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This is a copy of the presentation for the webinar on Artificial Intelligence (AI): Applications in Life Science hosted by Davangere University
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Artificial Intelligence (AI): Applications in Life Science | Davangere University
- 2. Disclaimer All the images are used for educational purposes only. All the images in the presentation are obtained from internet with “free to use license” search. Some of them are from free stock photos like pexels website. If you are owner of any images with copyright. Kindly report. Will remove the images with all respect to your creative work.
- 3. ❏ Set brightness to MAXIMUM ❏ Keep Phone Screen Rotation ON ❏ View in Landscape mode ❏ Turn your mic/video off ❏ Use of headphones is recommended ❏ In case of network issues watch later Recommended Settings...
- 4. About Me Educator, Entrepreneur, Innovator, Cloud, Big Data, IoT, AI Evangelist PravinHanchinal.com
- 6. What you will be Learning? What is AI, ML and DL? Why AI, now? How to Play with AI models? How ML and DL is performed? AI in relation with IoT, Big Data Applications of AI Challenges and Dangers
- 7. Are you using AI? Are you photos getting better day by day? Is your gmail understanding what you gonna write? You can watch in any language YouTube? Is your phone predicting texts well? Google Lens
- 8. What is AI?
- 9. How a Neuron look like?
- 11. Let’s See in Action: http://playground.tensorflow.org/ The Brain of AI | Neural Networks
- 14. Why Now?
- 15. 2017
- 16. 2019
- 17. ‘cos People are Stupid and Lazy
- 18. Smart Door, Still Stupid!
- 19. Need for AI powered Smart Cars!
- 20. Population | Problems Population create problems: Food, Health Care, Comfort Corporate makes Money by Solving Problems Human Brain Limitations Boredom/Fatigue leads to Errors Solution: To make things/machines learn
- 21. Machine Learning
- 22. AL vs ML vs DL Artificial Intelligence — Human Intelligence Exhibited by Machines Machine Learning — An Approach to Achieve Artificial Intelligence Deep Learning — A Technique for Implementing Machine Learning
- 24. Rules vs My Rules
- 25. How Machine Learning work?
- 26. Let us see this in action Teachable Machine https://teachablemachine.withgoogle.com/
- 27. When to apply Machine Learning? Where Simple rules don’t apply
- 28. What We Need for AI? Resources Tools Information
- 29. What We Have? Resources Enough Computing Power | Cheap Hardware Human Brains | Build AI Models Tools Cloud Open Source Tools Information Data
- 30. Types of Machine Learning ❏ Supervised Learning – Train Me! ❏ Unsupervised Learning – I am self sufficient in learning ❏ Reinforcement Learning – My life My rules! (Hit & Trial)
- 35. What if we do not know anything? Unsupervised Learning | Unstructured Data
- 36. Deep Learning
- 37. IoT, Big Data and AI
- 38. Applications
- 39. What AI Deals with?
- 40. You Name it, We can apply it
- 41. Agriculture Make AI learn based on our crop references, to predict pricing Classification of products using AI https://www.youtube.com/watch?v=MtQmqaSxszU
- 42. Working AI: Self Driving Cars https://youtu.be/tiwVMrTLUWg?t=7m56s
- 43. How Things become Smart?
- 44. All our world is made of Things. Things when connected, form IoT
- 46. Challenges and Dangers AI Building Trust Software Malfunction Can Replace only Certain Tasks High Expectations
- 48. Self Driving vs Self Killing Cars
- 49. In Future Drones Monitoring Farms and Harvesting Law Enforcement: Self Driving Cars Text Summarization in Law Automated RTI Toilet Doctors | Medical Insurance Office Less Services: Documents Movement Automated Citizen Care Prisoners monitoring
- 50. In Future Defence / Military Behavioural Analysis Predicting Poverty Guided Schooling
- 51. Visioning AI Environment Birth get registered Aadhar, Insurance, names is suggested School suggestion->best friend College suggestion-> boy friend / girl friend Job suggestion Whom to marry When to have kids Old age home/Robot suggestion Instant call to Ambulance Finally your cemetery based on height
- 52. AI God God may know before you pray
- 53. Where Shall we go?
- 54. What I have done?
- 55. What Next? Go through presentation again on SlideShare Explore resources provided Play with AI Get Started Build Small AI Models and Scale up Learn From Failures
- 56. Think out of Box The electric light did not come from the continuous improvement of candles. -Oren Harani
- 58. Thank You You gave me your time, the thoughtful gift of all...
- 59. more about me: pravinhanchinal.com Blog on Life: Anveshane.com Blog on Computer Science: CSbytes.com
- 60. more presentation on my website pravinhanchinal.com/presentations/
- 62. Play with AI
- 64. AI to Play Cam https://experiments.withgoogle.com/ai/giorgio-cam/view/ https://www.youtube.com/watch?v=eKeI63VSpto Draw https://quickdraw.withgoogle.com/ https://www.youtube.com/watch?time_continue=97&v=X8v1GWzZYJ4 AI Duet https://experiments.withgoogle.com/ai/ai-duet/view/ https://www.youtube.com/watch?time_continue=126&v=0ZE1bfPtvZo https://experiments.withgoogle.com/ai/drum-machine/view/
- 67. Google Draw
- 69. Teachable Machine | Now https://teachablemachine.withgoogle.com/train/pose
- 70. Research References AI https://www.youtube.com/watch?v=8cmx7V4oIR8 https://www.youtube.com/watch?v=-Y7PLaxXUrs Self Driving Cars: https://www.youtube.com/watch?v=URmxzxYlmtg https://www.youtube.com/watch?v=OlLFK8oSNEM 10:38 http://sustain.stanford.edu/predicting-poverty/ https://interestingengineering.com/this-project-used-drones-to-farm-an-entire-crop-and-its-ready-for-harvesting
- 71. Machine Learning Tools Beginners(GUI): Weka, Orange, H20 Intermediate (scripting): Python, Java, TensorFlow Advanced: R, Matlab