MIT Embodied Intelligence is a group of labs in the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) working in Machine Learning and Robotics. Here you will find videos about our research as well as talks by invited speakers in our seminar.
More information about MIT Embodied Intelligence can be found at ei.csail.mit.edu/
Information about accessibility can be found at accessibility.mit.edu/
For the initial conditions that work, have anybody look at how much wiggle room you have. Is there an epsilon-neighborhood of the initial state you can safely start from, and how small is epsilon?
flax is a high level nn library built on top of Jax, check out its documentation. It's a very new library, built for flexibility. And you can make a mark in that by making PRs
The diehold foundation is along with the suspecious observers pushing a 12 thousand year cycle of super nova and magnetic reversal which brings a catastrophic event please debate them on their theory's they have tens of thousands of people following them. I fear that the theory might be partially right. Find them on RU-vid under those names.please look into this thanking you in advance Carl.
This is a great talk. Personally I haven't had the prerequisite for manifold learning, but the idea behind hybrid message passing is quite profound. Just wandering: if you have a Bayesian GNN where the prior encodes the linear assumption, would that be equivalent to the GNN + PGM model presented here? or is there a limit to the expressiveness of a Bayesian prior?
