There’s a reason for that: some of the most prominent AI breakthroughs in the past decade have relied on enormous data sets. Image classification made enormous strides in the 2010s thanks to the ...

In a previous paper, MIT researchers had introduced a technique to “distill” giant data sets into tiny ones, and as a proof of concept, they had compressed MNIST down to only 10 images.The ...

V3D can also be used for fully automatic analyses of massive image data sets. The software runs on ... They are useful for a number of tasks, for example, developing new image analysis algorithms ...

Sampling from this latent space allows the model to generate new images with similar properties to those in the training data set. If ... the original image. For example, the Mona Lisa has ...

Using the fMRI data from the 1,050 unique faces, they trained the AI model to convert the brain imaging results into actual images. (It works like a more primitive version of DALL-E 2 or Stable ...

Ingrained: An Automated Framework for Fusing Atomic-Scale Image Simulations into Experiments Data and Software for “Ingrained: An Automated Framework for Fusing Atomic-Scale Image Simulations into ...