Deep learning and artificial intelligence have been huge topics of interest in 2016, but so far most of the excitement has focused on either Nvidia GPUs or custom silicon hardware like Google's ...

Developing AI and machine learning applications requires plenty of GPUs. Should you run them on-premises or in the cloud? While graphics processing units (GPUs) once resided exclusively in the domains ...

Startup Builds GPU Native Custom Neural Network Framework Medical Imaging Drives GPU Accelerated Deep Learning Developments Samsung Invests in Cray Supercomputer for Deep Learning Initiatives Drilling ...

SE: There seems to be a parallel growth between the adoption of machine learning and GPUs. Is the need for machine learning driving GPU adoption, or are GPUs creating the opportunity to embrace ...

SAN JOSE, Calif.--(BUSINESS WIRE)--Continuum Analytics, H2O.ai, and MapD Technologies have announced the formation of the GPU Open Analytics Initiative (GOAI) to create common data frameworks enabling ...

NVIDIA announced that Facebook will power its next-generation computing system with the NVIDIA® Tesla® Accelerated Computing Platform, enabling it to drive a broad range of machine learning ...

As the world rushes to make use of the latest wave of AI technologies, one piece of high-tech hardware has become a surprisingly hot commodity: the graphics processing unit, or GPU. A top-of-the-line ...

This section highlights a number of compelling use case examples focusing on the use of AI and deep learning for the solution of important problems across a wide spectrum of domains. The examples ...

The recently published book Understanding Deep Learning by [Simon J. D. Prince] is notable not only for focusing primarily on the concepts behind Deep Learning — which should make it highly accessible ...