21–30 of 220 posts
This assumes the US is ahead of China in image recognition. Is there any justification for that?
Considering that AI is whatever marketing folks want it to be, it'd be interesting see their legal definition AI. Anyone have a link to the actual document?
I think it's this: https://s3.amazonaws.com/public-inspection.federalregister.g... Page 4 and 9 have the technical definitions. My off the cuff interpretation is that the rule would only cover convolutional neural nets that are trained to identify and determine the orientation of specific objects in geospatial imagery. If the neural net's input/output aren't wrapped in a GUI it sounds like they still might be OK to e…
Considering that AI is whatever marketing folks want it to be, it'd be interesting see their legal definition AI. Anyone have a link to the actual document?
I think it's this: https://s3.amazonaws.com/public-inspection.federalregister.g... Page 4 and 9 have the technical definitions. My off the cuff interpretation is that the rule would only cover convolutional neural nets that are trained to identify and determine the orientation of specific objects in geospatial imagery. If the neural net's input/output aren't wrapped in a GUI it sounds like they still might be OK to e…
2.Reduces pixel variation by performing scale, color, and rotational normalization on the positive samples;
3. Trains a Deep Convolutional Neural Network to detect the object of interest from the positive and negative samples; and
4. Identifies objects in geospatial imagery using the trained Deep Convolutional Neural Network by matching the rotational pattern from the positive samples with the rotational pattern of objects in the geospatial imagery.
What counts as "geospatial imagery"? Could this apply to any training UI for self-driving cars, maps, street view, etc.?
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Geospatial imagery “software” “specially designed” for training a Deep Convolutional Neural Network to automate the analysis of geospatial imagery and point clouds, and having all of the following:
1. Provides a graphical user interface that enables the user to identify objects (e.g., vehicles, houses, etc.) from within geospatial imagery and point clouds in order to extract positive and negative samples of an object of interest;
2. Reduces pixel variation by performing scale, color, and rotational normalization on the positive samples;
3. Trains a Deep Convolutional Neural Network to detect the object of interest from the positive and negative samples; and
4. Identifies objects in geospatial imagery using the trained Deep Convolutional Neural Network by matching the rotational pattern from the positive samples with the rotational pattern of objects in the geospatial imagery.
Technical Note: A point cloud is a collection of data points defined by a given coordinate system. A point cloud is also known as a digital surface model.
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[1] https://www.federalregister.gov/documents/2020/01/06/2019-27...
[2] https://s3.amazonaws.com/public-inspection.federalregister.g...
Earlier quoted context omitted.
I think it's this: https://s3.amazonaws.com/public-inspection.federalregister.g... Page 4 and 9 have the technical definitions. My off the cuff interpretation is that the rule would only cover convolutional neural nets that are trained to identify and determine the orientation of specific objects in geospatial imagery. If the neural net's input/output aren't wrapped in a GUI it sounds like they still might be OK to e…
1. Provides a graphical user interface that enables the user to identify objects (e.g., vehicles, houses, etc.) from within geospatial imagery and point clouds in order to extract positive and negative samplesof an object of interest; 2.Reduces pixel variation by performing scale, color, and rotational normalization on the positive samples; 3. Trains a Deep Convolutional Neural Network to detect the object of interes…
More seriously, computer vision is going to be important and it appears to be far less known than machine learning and has higher barriers to entry. I'd exchange a few introductory machine learning books for more good computer vision introductions.
Any suggestions on how to get started with computer vision?
Earlier quoted context omitted.
Canada counts as the US for several national security purposes. There's a lot of cooperation to prevent this type of loophole.
Can you point to some of that cooperation or legislation regarding it, that sounds quite interesting.
Prior to this "rule", was it possible to break the law and get in trouble for doing nothing more than publishing source code to the world? Has that now changed? Is publishing personal code on GitHub "exporting"?
In the US, at some point cryptography code was considered "munitions" and you needed permission to export it. See https://en.wikipedia.org/wiki/Export_of_cryptography_from_th... and https://en.wikipedia.org/wiki/Bernstein_v._United_States
Earlier quoted context omitted.
Canada counts as the US for several national security purposes. There's a lot of cooperation to prevent this type of loophole.
Can you point to some of that cooperation or legislation regarding it, that sounds quite interesting.