There is a recent work published in CVPR, which utilizes neural network to help you convert 2D images to 3D objects. It starts by learning how we project 3D objects to 2D images and based on that, we revert the process to recover the 3D objects from 2D images.

CB Insights has released their reports on Aritifical Intelligence. Here is the table of contents:

Scholars from Sandong University have developed a new methods for 3D construction: \(water\). The benefits of this method, compared with current optical based method is that, it is able to reconstruct the 3D strucutre of invisible parts, e.g., inner space, concave region.

Google has open sourced deeplearn.js to have you run deep learning in your browser.

There is a paper from Fudan University, Tongji University and CMU on proposing a method of generating AI character facial images via neural network.

Recently I got a task of checking whether the excel has some some wrong data. There are some conditions where some columns must meet. Using the Excel filtering or equation is cumbersome, as the condition can be very complex.

add user

using python

MS MARCO

Front Ends and Extensions for Hadoop

Convolutional Neural Networks for Visual Recognition