AI • Machine Learning • Tech on Instagram: "t-SNE (t-distributed Stochastic Neighbor Embedding) is an unsupervised machine learning method, typically used for visualizing high dimensional data in 2D or 3D. It works by trying to keep points that are close in the original high-dimensional space also close in the low-dimensional map. But when we reduce the dimensions in this way, a challenge is the crowding problem. When you reduce many dimensions into just two, distant points can end up crowding t

Technology on Instagram: "An omni-bodied robot brain built by Skild can survive shattered limbs and jammed motors, because if there is even a fragment left to move, the Brain will find a way to move it. The system has been trained across a thousand simulated years, walking through more than one hundred thousand virtual bodies and learning to adapt its intelligence to any form that rolls, crawls, or walks. What makes it striking is that the Brain can slip seamlessly into any machine and keep it a

2M views · 38K reactions | 1-hr vs. 4-hr crispy French Fries These...