I remembered an interview where the victim said "my 16 yr old younger brother tried to rape me while I was sleeping, when confronted he confessed he learned from pornhub" pornhub also needs to be responsible for such misguiding titles
She had toxic relationship with her employer (google). She wrote a paper about Google's deep learning nlp google considered it a bad publicity. They asked her to include references for her claim. she gave precondition. if precondition is not met she would resign.
google took that line immediately and told her "your resignation is accepted".
Unless somebody is naive it should be clear that trump and biden or any other government official agree on the importance of having upper hand in information and data collection.
Ask yourself why would you reward edward snowden type of action on your own government.
I mean look out the competition, china, russia, israel iran... Etc.
Ask yourself again would you do it? For what? What would you gain if you were trump or harris or biden. What is in it for you?
It really disappoints me to see people who can't see the stage drama and ground facts separately.
Any US government should not and would not pardon snowden in the coming ten years.
The main problem is that Tesla autopilot uses pytorch which is a prototype and toying library designed by an intern as compared to tensor flow which was designed from ground up targeting realistic applications such as this one.
I'd be very curious to hear some elaboration on this claim; it's the first time I've ever seen it.
From my point-of-view, the fact that TensorFlow completely scrapped its entire ≤v1.0 graph-based API for a PyTorch-style eager execution API for v2.0 onwards does not suggest that it was “designed from the ground up” in any way, shape, or form. We're talking a total rewrite of the entire frontend codebase going from v1.0 to v2.0, and a total abandonment of all v1.0 style code. TF 2.0 is basically a brand new language.
Under the hood it's all the same BLAS/LAPACK operations anyway. I've found TF superior to PyTorch for stats methods and probabilistic programming in general (far richer API), but for standard linear algebra the two are equivalent performancewise, with PyTorch having the superior API IMHO.
The TED talk that is linked in other comments debunks this too. All the CO2 exhaled by humans is short-term carbon that was recently taken out of the atmosphere by a plant. All plants and animals are short-term carbon sinks. The damage is caused by burning fossil fuels.
I suppose there might be a few artificial ingredients that are made from petroleum feedstock, and thus human metabolism cause it's first release as CO2, but it's tiny compared to the sugars and fats we consume from plants and animals.
It has to be either in equilibrium, or in excess on the side of plants. If it's in excess on the side of humans, people would be dying out due to lack of food, which would then put it back into equilibrium. Deforestation isn't relevant to food because we don't eat trees.
If it is for the meal i would be surprised, because he eats the most diverse meal than a few billion people in the world.