Dave Fellows explains the Azure Batch Rendering, which is built on the Azure Batch service to provide capabilities for rendering 3D graphics for film and other visual media projects.

This is truly an idea whose time has come. Given the raw compute power of the cloud, there’s no reason that it can’t be turned into a giant render farm to make video rendering projects go faster without having to break the bank on a pricey desktop.

When I say pricey, I mean something to the tune of $15,000. Yeah, those desktops exist.

Check out the PC that Ryan from Film Riot spec’d out.

For more information, see:

In this talk, Bin Yu, professor at UC Berkley, discusses the intertwining importance and connections of three principles of data science.

The three principles will be demonstrated in the context of two neuroscience projects and through analytical connections. In particular, the first project adds stability to predictive models used for reconstruction of movies from fMRI brain signals to gain interpretability of the predictive models.

The second project employs predictive transfer learning and stable (manifold) deep dream images to characterize the difficult V4 neurons in primate vision cortex. Our results lend support, to a certain extent, to the resemblance to a primate brain of Convolutional Neural Networks (CNNs).