licnep
Joined 14 years ago
Joined 14 years ago
You most definitely can convey meaningful messages in a limited amount of time, and that's exactly the point, enforcing conciseness you end up with higher information density.
Decentralization provides the additional value of resistance to censorship and algorithmic biases.
How did you market this? Do you have a website for it?
It says here ( https://www.researchgate.net/publication/370980395_A_NEURAL_... ) that each layer can be represented as a matrix multiplication (equation 3): Ax = s
So concatenating multiple layers could just be reduced to a single matrix multiplication?
If there is no non-linearity I don't see how this could replace neural networks, or am I missing something?
Since the US Debt to GDP ratio is so high now, rate hikes are creating a higher deficit spending from the government into the economy (bondholders) which can be more than enough to counteract the contractive effect of rate hikes.
In forward raytracing, images are rendered by "shooting" photons from all lightsources and seeing which ones end up hitting the player's camera. This is similar to what we think happens in nature, but the calculation is extremely inefficient, because the vast majority of photons never hit the player's viewpoint.
In backward raytracing, we only shoot "photons" backwards from the player's camera, and see which rays end up hitting a light source. This computation is much more efficient.
It makes me wonder if our "simulation" uses a similar shortcut