Goto

Collaborating Authors

 prevent improper pathology diagnostic


Cross-Modal Machine Learning as a Way to Prevent Improper Pathology Diagnostics - Blog on All Things Cloud Foundry

@machinelearnbot

Dave Singhal is a scholar at Stanford University. He is exploring neuro-inspired machine learning approaches on multi-modal image data sets and evaluating hardware and software constructs to improve machine learning efficiency. With 10 patents under his belt, Dave is also a principal at Light Field Interactive--dealing with imaging, graphics, optics, and perception. His aim is to advance this area through academic program development, industry collaboration events, and multi-site research projects. Prior to this, Dave served as Director of Engineering at Cisco Systems.