Put AI to Work
April 15-18, 2019
New York, NY
Mathew Salvaris

Mathew Salvaris
Senior Data Scientist, Microsoft

Mathew Salvaris is a senior data scientist at Microsoft. Previously, Mathew was a data scientist for a small startup that provided analytics for fund managers; a postdoctoral researcher at UCL’s Institute of Cognitive Neuroscience, where he worked with Patrick Haggard in the area of volition and free will and devised models to decode human decisions in real time from the motor cortex using electroencephalography (EEG); and he held a postdoctoral position at the University of Essex’s Brain Computer Interface group and was a visiting researcher at Caltech. Mathew holds a PhD in brain-computer interfaces and an MSc in distributed artificial intelligence.

Sessions

11:05am–11:45am Wednesday, April 17, 2019
Deploying deep learning models on GPU-enabled Kubernetes clusters
Implementing AI
 Location: Trianon Ballroom
Secondary topics:  Deep Learning and Machine Learning tools, Edge computing and Hardware, Platforms and infrastructure
Mathew Salvaris (Microsoft), Fidan Boylu Uz (Microsoft)
Average rating: ***..
(3.33, 3 ratings)
Interested in deep learning models and how to deploy them on Kubernetes at production scale? Not sure if you need to use GPUs or CPUs? Mathew Salvaris and Fidan Boylu Uz help you out by providing a step-by-step guide to creating a pretrained deep learning model, packaging it in a Docker container, and deploying as a web service on a Kubernetes cluster. Read more.