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Deep Learning in Production: Galaxy.ai - ML for damage on vehicle & SENTENAI - ML for factory floor

  • CIC Cambridge 245 Main Street, Mosaic, 3rd Floor Cambridge, MA, 02142 United States (map)

Galaxy.ai
Bio for Pranab Banerjee: Mr Pranab Banerjee is currently the Chief Data Scientist at Galaxy AI. His primary areas of research are computer vision, pattern recognition, Bayesian probabilistic models, bio- and socio-inspired computation, autonomous systems, and scientific data visualization. In the past, Mr. Banerjee was a member of computational sciences staff at NASA's Jet Propulsion Laboratory; a senior scientist at Space Dynamics Laboratory; principal research engineer at BAE Systems; and principal research scientist at Boston Fusion Corp. He is also an international award winning photographer.

SENTENAI
Bio for Brendan Kohler: Brendan Kohler is a entrepreneur and investor focused on bringing AI solutions from the lab into production. He started his career working on large scale distributed systems and supercomputing applications at Georgia Tech. Later he researched complex event processing and machine learning applications for cyber-physical systems at Yale. In 2015 he co-founded Hyperplane Venture Capital to bring investment dollars to help entrepreneurs working on "hard tech” solutions based on machine learning and artificial intelligence get the patient capital and support they need to be successful. Brendan is currently co-founder and CTO of Sentenai, a Boston startup that uses unsupervised machine learning to provide realtime data preparation for industrial IoT data.

Abstract
Deep learning on the factory floor: an open problem
When people think of deploying advanced machine learning to the factory floor, the first thing that comes to mind is probably low-power prediction at the edge, but factories are gigantic facilities with power and physical footprints that make such considerations meaningless. Instead, the three challenges of data, dimensionality, and deployment are what prevent us from successfully implementing deep learning on the factory floor. In this talk, we explore new the new techniques and technologies required to build solutions that work in this complex, hostile environment so that we can turn the “lights out factory” from fantasy into reality.

Interested in learning more? Register to attend here.