Deep learning, as the most important architecture of current computational intelligence, achieves super performance to predict the cloud workload for industry informatics. However, it is a nontrivial ...

A two-way street for security in deep learning. The cloud-based computation scenario the researchers focused on involves two parties -- a client that has confidential data, like medical images ...

The AttendSeg deep learning model performs semantic segmentation at an accuracy that is almost on-par with RefineNet while cutting down the number of parameters to 1.19 million.

With Google’s announcement last week of its new 180 petaflop open deep learning cloud, ... TPU pod” delivering 11.5 petaflops that can be brought to bear on a single deep learning model. ...

Google Cloud AI Platform Jobs are how you set up model training with one of three machine learning frameworks or with a custom container image. When you select a framework you also have to select ...

Point AE-DCGAN: A deep learning model for 3D point cloud lossy geometry compression. [Presentation] VoxelContext-Net: An Octree based Framework for Point Cloud Compression. Learning-Based Lossless ...

The camera I recommend to most new photographers is not a Sony or Nikon (and it's on sale) The Samsung tablet I recommend to most people is not a flagship - and it's $100 off ...

Abstract: Deep learning, as the most important architecture of current computational intelligence, achieves super performance to predict the cloud workload for industry informatics. However, it is a ...