Deep learning is just a rebranding of "neural networks". When neural nets became unpopular in the 90s and early 2000s, people talked about "multilayer networks" (dropping the "neural") since it wasn't really useful to…
>If you were to run almost any kind of reasonable attempt at analyzing and valuing Tesla based on what it should maybe be worth via comparables, you'd get a figure dramatically lower than it is today. Do you compare it…
It won't be used for the rocket but for the Mars transport spaceship.
But cost is also at issue. For cargo, it might make sense to take on 0.5-1.0% risk versus the massive investments necessary for the development of a space elevator. And when we're talking about human spaceflight,…
Probably the biggest barrier to space elevators is exactly what SpaceX and Blue Origin are doing - safe, reliable, and eventually (relatively) inexpensive rockets will make the large fixed costs of setting up a space…
>Space-X can't make and launch Falcon boosters fast enough now. The bottleneck is not Falcon 9 production, at this point it's largely on the payload side. A faster turnaround would certainly help, but there's only so…
Between the recent news of SpaceX shipping a test article of its Mars rocket to McGregor (the Raptor engine) and this large contract for material for its Mars Colonial Transporter, SpaceX's Mars plans are shaping…
>Science looks for a system which can exist without supernatural intervention, but the creation of time/space/matter doesn't fit within those constraints. So our universe must fundamentally be a supernatural creation?…
SpaceX is planning on launching a satellite internet constellation with enough satellites to cover most of the globe.
>Not necessarily, often derivatives are analytically known in ML. The focus here is largely on deep neural networks. In this domain, the Hessian cannot be computed and SGD (with minor variants) continues to be the…
While Matlab still probably comes ahead in image processing, surely in computer vision Python is on top? You mentioned academic research, isn't the majority of modern object recognition, segmentation, etc. done with…
Deep learning is just a rebranding of "neural networks". When neural nets became unpopular in the 90s and early 2000s, people talked about "multilayer networks" (dropping the "neural") since it wasn't really useful to…
>If you were to run almost any kind of reasonable attempt at analyzing and valuing Tesla based on what it should maybe be worth via comparables, you'd get a figure dramatically lower than it is today. Do you compare it…
It won't be used for the rocket but for the Mars transport spaceship.
But cost is also at issue. For cargo, it might make sense to take on 0.5-1.0% risk versus the massive investments necessary for the development of a space elevator. And when we're talking about human spaceflight,…
Probably the biggest barrier to space elevators is exactly what SpaceX and Blue Origin are doing - safe, reliable, and eventually (relatively) inexpensive rockets will make the large fixed costs of setting up a space…
>Space-X can't make and launch Falcon boosters fast enough now. The bottleneck is not Falcon 9 production, at this point it's largely on the payload side. A faster turnaround would certainly help, but there's only so…
Between the recent news of SpaceX shipping a test article of its Mars rocket to McGregor (the Raptor engine) and this large contract for material for its Mars Colonial Transporter, SpaceX's Mars plans are shaping…
>Science looks for a system which can exist without supernatural intervention, but the creation of time/space/matter doesn't fit within those constraints. So our universe must fundamentally be a supernatural creation?…
SpaceX is planning on launching a satellite internet constellation with enough satellites to cover most of the globe.
>Not necessarily, often derivatives are analytically known in ML. The focus here is largely on deep neural networks. In this domain, the Hessian cannot be computed and SGD (with minor variants) continues to be the…
While Matlab still probably comes ahead in image processing, surely in computer vision Python is on top? You mentioned academic research, isn't the majority of modern object recognition, segmentation, etc. done with…