Understanding the role of Artificial Intelligence in the present and in the future
summary
Everyday examples (Alexa, Google Home, Siri, drones, self‑driving prototypes) illustrate where AI is deployed now; the talk explains concrete methods—convolutional neural networks for image classification, LSTM/RNN for sequences, k‑nearest neighbours for recommendation—and names tools like Google Tesseract OCR. Claims include a Gartner figure of ~7% of organizations implementing AI and an example model reaching ~85% prediction accuracy in an education mentoring project. Demonstrations cover why images fool models, sensor gaps in autonomous cars, and products that currently assist vision‑impaired users.
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chapters (15)
- 0:00Start
- 6:12WHAT IS ARTIFICIAL INTELLIGENCE?
- 6:33ASPECTS OF AI
- 6:49MACHINE LEARNING
- 17:15DOG OR BAGEL?
- 21:21Smart content
- 23:12ALGORITHM LSTM
- 24:35Detecting Skin Cancer
- 28:59ALGORITHM Pre Processing
- 37:45CARDIOLOGY New ways
- 38:43LONGEVITY
- 38:55THE CURE
- 39:30ROBOTS RELATIONSHIP
- 39:42SUSHI SINGULARITY TOKYO
- 41:41BABY ARM OR BREAD ROLLS?
