Laplacian eigenmaps perform non-linear dimensionality reduction ("manifold learning") by... embedding data points using the eigenvectors of a graph Laplacian as coordinates.show more

I wrote this fun interactive article explaining Isomap, a... classic non-linear dimensionality reduction technique. Isomap captures the local similarity structure of data through a graph and computes an embedding that preserves this structure. Check it out! Link below.show more

Many dimensionality reduction algorithms share a few central principles.... 1. Construct a graph that captures the data's local structure 2. Measure "geodesic" distances between points using the graph 3. Project the points to a lower dimension while preserving these distancesshow more

using the same color names, comparing different dimensionality reduction... algorithms (pca, tsne and umap):show more

Website Of The Day is Shift 5 by Non-Linear... studio Non-Linear Studio #webdesign #webdev #cssdaWOTD #CSSDesignAwardsshow more

Fusing on non-manifold geometry works again, as long as... two opposite rail edge loops are manifoldshow more

Turn a linear potentiometer non-linear by adding a resistor... between the slider and an outer terminal!show more

Finalizing 3D reaction-diffusion in Blender 5.0. Using "Volume Grid... Laplacian" and leveraging closures + bundles for cleaner and more modular node-trees. I need to test more the Gray-Scott model. Feel free to suggest more formulations/solvers to try. #b3d #reactiondiffusionshow more

Can we make Transformers better and more efficient for... robot learning? Excited to introduce Body Transformer (BoT), an architecture that leverages robot embodiment in the attention mechanism, by treating it as a graph of sensors and actuators.show more

Russian Geran-4 jet-drone strike on a data centre in... the northern suburbs of Kyiv. Coordinates: 50.49340, 30.47100show more

Learn how to combine a deep learning model for... pose estimation to perform a 3D reconstruction using two cameras 📸show more

Footage, released by Hamas, of a Hamas terrorist using... a civilian area as a launching point. Here is the criteria for Hamas’ rocket launching points: Anywhere. Areas with civilians preferred.show more

Fondant Easy Custom Normals 1.1.0 for Blender is out!... In addition to better Weighted Normals and Laplacian Smooth, you can now use Extrapolated Boundaries to fix the edges of meshes. Clean anime toon shading with less hassle, holding loops, or workarounds. Link below ($0).show more

#cellbiology #bioart The actin #cytoskeleton (green) is linked to... a variety of transmembrane proteins through alpha-actinin (magenta), with such linkages being particularly dense in membrane ruffles and filopodia. As seen at 3 frames/min for 8 min by linear and non-linear structured illumination microscopy (97 and 60 nm resolution, respectively).show more

Amazon’s machine learning model collects 300 million data points... per season and can now predict which players are likely to blitz before the snap. This is a look into the future of broadcasting.show more

A curious property of diffusion models: when a sample... is mostly noise, the model’s best guess is close to the mean. So early on samples can be pulled toward the center of the dataset, even when no data exists there, before rebounding toward the data manifold.show more

The first ever World Cup of Prediction Markets begins... soon. Billions of data points. Thousands of minds. One truth. Traders. Agents. Creators. Accuracy will crown the best. Mindshare will crown the loudest. Predict. Perform. Prevail. Pre-register now:show more

😍⚠️And it’s out in J Cell Science!! Our review... on the opportunities and challenges of using Machine Learning in Microscopy research 🤖🔬! From using ML to curate data to using ML to give us more KNOWLEDGE about our data (i.e. Interpretation 😉) DOI: (1/n) ⬇️show more

the manifold garden of the alphabet