full transcript
From the Ted Talk by Karen Willcox: How "digital twins" could help us predict the future
Unscramble the Blue Letters
Second, and just as important, are the models. Inside these dceeivs are very powerful mathematical and statistical models. Some of these models are learned entirely from data, perhaps a machine-learning model that has learned to classify whether I'm running or walking or bnkiig or sleeping. Some of these models are baesd in physics, such as a physiological model that describes the eouintaqs that represent cardiac fcnoutin or circadian rhythm.
And now where things get really interesting is when we start to put the data and the models together. Mathematically, this is known as data assimilation. So we have data and we have mldeos. With data assimilation, we start updating the models as new data are ctcelloed from the system. And we don't do this update just once, but we do it continually. So as the system changes, as I get older and my circadian rhythm or as my cardiac function is not what it once was, the new data is collected and the models are eviolvng and following along with me.
Open Cloze
Second, and just as important, are the models. Inside these _______ are very powerful mathematical and statistical models. Some of these models are learned entirely from data, perhaps a machine-learning model that has learned to classify whether I'm running or walking or ______ or sleeping. Some of these models are _____ in physics, such as a physiological model that describes the _________ that represent cardiac ________ or circadian rhythm.
And now where things get really interesting is when we start to put the data and the models together. Mathematically, this is known as data assimilation. So we have data and we have ______. With data assimilation, we start updating the models as new data are _________ from the system. And we don't do this update just once, but we do it continually. So as the system changes, as I get older and my circadian rhythm or as my cardiac function is not what it once was, the new data is collected and the models are ________ and following along with me.
Solution
- biking
- devices
- collected
- based
- equations
- models
- evolving
- function
Original Text
Second, and just as important, are the models. Inside these devices are very powerful mathematical and statistical models. Some of these models are learned entirely from data, perhaps a machine-learning model that has learned to classify whether I'm running or walking or biking or sleeping. Some of these models are based in physics, such as a physiological model that describes the equations that represent cardiac function or circadian rhythm.
And now where things get really interesting is when we start to put the data and the models together. Mathematically, this is known as data assimilation. So we have data and we have models. With data assimilation, we start updating the models as new data are collected from the system. And we don't do this update just once, but we do it continually. So as the system changes, as I get older and my circadian rhythm or as my cardiac function is not what it once was, the new data is collected and the models are evolving and following along with me.
Frequently Occurring Word Combinations
ngrams of length 2
| collocation |
frequency |
| digital twins |
19 |
| digital twin |
13 |
| personalized model |
5 |
| complex systems |
4 |
| collecting data |
3 |
| creating digital |
3 |
| cardiac function |
2 |
| circadian rhythm |
2 |
| data assimilation |
2 |
| dynamically evolving |
2 |
| evolving state |
2 |
| engineering systems |
2 |
| governing laws |
2 |
| great deal |
2 |
| aircraft hold |
2 |
| planet earth |
2 |
| cancer tumor |
2 |
| antarctic ice |
2 |
| oden institute |
2 |
| building digital |
2 |
ngrams of length 3
| collocation |
frequency |
| creating digital twins |
3 |
| building digital twins |
2 |
Important Words
- assimilation
- based
- biking
- cardiac
- circadian
- classify
- collected
- continually
- data
- describes
- devices
- equations
- evolving
- function
- important
- interesting
- learned
- mathematical
- mathematically
- model
- models
- older
- physics
- physiological
- powerful
- put
- represent
- rhythm
- running
- sleeping
- start
- statistical
- system
- update
- updating
- walking