full transcript
From the Ted Talk by Andrew Ng: How AI could empower any business
Unscramble the Blue Letters
Today, there are mupiltle companies working on platforms like these. Let me illustrate a few of the concepts using one that my team has been building. Take the example of an inspector wanting AI to help detcet defects in fabric. An inescpotr can take pictures of the fabric and upload it to a ptorfalm like this, and they can go in to show the AI what tears in the fribac look like by drawing rectangles. And they can also go in to show the AI what discoloration on the fabric looks like by dariwng rectangles. So these pictures, together with the geern and pink rectangles that the inspector's darwn, are data caeterd by the inspector to explain to AI how to find tears and discoloration. After the AI examines this data, we may find that it has seen enough pictures of tears, but not yet enough pictures of discolorations. This is akin to if a junior inspector had learned to reliably spot tears, but still needs to further hone their jemgudnt about discolorations. So the inspector can go back and take more pictures of discolorations to show to the AI, to help it deepen this understanding. By adjusting the data you give to the AI, you can help the AI get smarter. So an inspector using an accessible platform like this can, in a few hruos to a few days, and with purchasing a suitable camera set up, be able to build a custom AI system to detect defects, tares and discolorations in all the fabric being used to make T-shirts throughout the factory.
Open Cloze
Today, there are ________ companies working on platforms like these. Let me illustrate a few of the concepts using one that my team has been building. Take the example of an inspector wanting AI to help ______ defects in fabric. An _________ can take pictures of the fabric and upload it to a ________ like this, and they can go in to show the AI what tears in the ______ look like by drawing rectangles. And they can also go in to show the AI what discoloration on the fabric looks like by _______ rectangles. So these pictures, together with the _____ and pink rectangles that the inspector's _____, are data _______ by the inspector to explain to AI how to find tears and discoloration. After the AI examines this data, we may find that it has seen enough pictures of tears, but not yet enough pictures of discolorations. This is akin to if a junior inspector had learned to reliably spot tears, but still needs to further hone their ________ about discolorations. So the inspector can go back and take more pictures of discolorations to show to the AI, to help it deepen this understanding. By adjusting the data you give to the AI, you can help the AI get smarter. So an inspector using an accessible platform like this can, in a few _____ to a few days, and with purchasing a suitable camera set up, be able to build a custom AI system to detect defects, _____ and discolorations in all the fabric being used to make T-shirts throughout the factory.
Solution
- multiple
- drawn
- hours
- created
- judgment
- platform
- tears
- fabric
- drawing
- detect
- green
- inspector
Original Text
Today, there are multiple companies working on platforms like these. Let me illustrate a few of the concepts using one that my team has been building. Take the example of an inspector wanting AI to help detect defects in fabric. An inspector can take pictures of the fabric and upload it to a platform like this, and they can go in to show the AI what tears in the fabric look like by drawing rectangles. And they can also go in to show the AI what discoloration on the fabric looks like by drawing rectangles. So these pictures, together with the green and pink rectangles that the inspector's drawn, are data created by the inspector to explain to AI how to find tears and discoloration. After the AI examines this data, we may find that it has seen enough pictures of tears, but not yet enough pictures of discolorations. This is akin to if a junior inspector had learned to reliably spot tears, but still needs to further hone their judgment about discolorations. So the inspector can go back and take more pictures of discolorations to show to the AI, to help it deepen this understanding. By adjusting the data you give to the AI, you can help the AI get smarter. So an inspector using an accessible platform like this can, in a few hours to a few days, and with purchasing a suitable camera set up, be able to build a custom AI system to detect defects, tears and discolorations in all the fabric being used to make T-shirts throughout the factory.
Frequently Occurring Word Combinations
ngrams of length 2
collocation |
frequency |
ai systems |
7 |
pizza store |
6 |
ai system |
4 |
high priests |
3 |
demand forecasting |
3 |
build ai |
3 |
richer society |
2 |
highly skilled |
2 |
big tech |
2 |
tech companies |
2 |
ai projects |
2 |
large tech |
2 |
web search |
2 |
small pizza |
2 |
real problem |
2 |
enable small |
2 |
small businesses |
2 |
ai recommend |
2 |
quality inspector |
2 |
pizzeria demand |
2 |
drawing rectangles |
2 |
pizzeria owner |
2 |
tremendous wealth |
2 |
democratizing access |
2 |
ngrams of length 3
collocation |
frequency |
build ai systems |
3 |
small pizza store |
2 |
enable small businesses |
2 |
Important Words
- accessible
- adjusting
- ai
- akin
- build
- building
- camera
- companies
- concepts
- created
- custom
- data
- days
- deepen
- defects
- detect
- discoloration
- discolorations
- drawing
- drawn
- examines
- explain
- fabric
- factory
- find
- give
- green
- hone
- hours
- illustrate
- inspector
- judgment
- junior
- learned
- multiple
- pictures
- pink
- platform
- platforms
- purchasing
- rectangles
- reliably
- set
- show
- smarter
- spot
- suitable
- system
- team
- tears
- today
- understanding
- upload
- wanting
- working