Unconstrained Deep Learning for Large Scale 3D Modeling
Reduce your Time to product or solution by more than 50% by applying HPC based Distributed Deep Learning on large scale 3D data. Examples of 3D data of critical business value include Subsurface Seismic Image data interpretations in Oil and Gas, 3D MRI images for lesion detection, Satellite image for accurate depth estimates etc.
As companies look to build a competitive advantage with increasingly
sophisticated engineering challenges, the need for high performance
compute resources has never been greater. Historically 3D image analysis has been extremely hard and as such the progress has been slow. With RocketML 3D HPC Deep Learning Suite, companies can delegate the 3D image analysis task to "machines" with supervision from Engineers speeding up time to solutions and discoveries by orders of magnitude. A six month tedious 2d analysis plus 3D reconstruction process in electron microscopy can be reduced from weeks and months to just hours. Similarly in 3D Seismic image analysis, baselines for faults and facies detection can be established within a day.